In vivo Protein Evolution, Next Generation Protein Engineering Strategy: from Random Approach to Target-specific Approach View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-02

AUTHORS

Jin Young Kim, Hee-Wang Yoo, Pyung-Gang Lee, Sun-Gu Lee, Joo-Hyun Seo, Byung-Gee Kim

ABSTRACT

In vivo protein evolution is a protein engineering approach that is performed by both generating mutagenesis libraries and selecting desired mutants in a cell. Despite its clear advantages in some aspects, the approach has not much been popularized compared to in vitro protein evolution methods which employ in vitro mutagenesis. The reason behind this unpopularity is the limitations in the low library diversity and specificity of in vivo mutagenic methods compared to those of in vitro mutagenic methods. While various non-specific and specific in vitro mutagenic methods, which allowed us to use computational design principles as well as random approach in the design of mutant library, had been developed, in vivo mutagenic methods were stalled at the step of random mutagenesis since the in vivo generation of target-specific library with high specificity and broad mutational spectra is quite challenging. Recently, various in vivo protein mutagenesis methods have been developed to generate rather focused libraries in a target-specific manner, thanks to the significant decrease in the price of oligomer synthesis and better understanding of DNA targeting systems. In this review, we examined the trends of in vivo protein evolution and inspect some of the state-of-the-art techniques that were recently introduced for in vivo protein mutagenesis in a target-specific manner. In vivo protein mutagenesis is a subject undergoing intense study and will become more specific and thorough simultaneously. More... »

PAGES

85-94

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12257-018-0394-2

DOI

http://dx.doi.org/10.1007/s12257-018-0394-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112772019


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0601", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biochemistry and Cell Biology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Seoul National University", 
          "id": "https://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Interdisciplinary Program in Bioengineering, Seoul National University, 08826, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Jin Young", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Seoul National University", 
          "id": "https://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Interdisciplinary Program in Bioengineering, Seoul National University, 08826, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yoo", 
        "givenName": "Hee-Wang", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Seoul National University", 
          "id": "https://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "School of Chemical and Biological Engineering \u00b7 Institute of Engineering Research, Seoul National University, 08826, Seoul, Korea", 
            "Institute of Molecular Biology and Genetics, Seoul National University, 08826, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Pyung-Gang", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Pusan National University", 
          "id": "https://www.grid.ac/institutes/grid.262229.f", 
          "name": [
            "Department of Chemical and Biochemical Engineering, Pusan National University, 46241, Busan, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Sun-Gu", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kookmin University", 
          "id": "https://www.grid.ac/institutes/grid.91443.3b", 
          "name": [
            "Department of Bio and Fermentation Convergence Technology, Kookmin University, 02707, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Seo", 
        "givenName": "Joo-Hyun", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Seoul National University", 
          "id": "https://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Interdisciplinary Program in Bioengineering, Seoul National University, 08826, Seoul, Korea", 
            "School of Chemical and Biological Engineering \u00b7 Institute of Engineering Research, Seoul National University, 08826, Seoul, Korea", 
            "Institute of Molecular Biology and Genetics, Seoul National University, 08826, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Byung-Gee", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s002530050886", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000150356", 
          "https://doi.org/10.1007/s002530050886"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/16.15.7351", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002118380"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.83.3.576", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003360395"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature08187", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004117037", 
          "https://doi.org/10.1038/nature08187"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature08187", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004117037", 
          "https://doi.org/10.1038/nature08187"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.copbio.2005.06.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004640885"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.copbio.2005.06.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004640885"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1205822", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005838002"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.gene.2006.10.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006010578"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0014-5793(95)00557-p", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006355480"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.aac7041", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006504356"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1215994110", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006671695"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt0396-315", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007123993", 
          "https://doi.org/10.1038/nbt0396-315"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cbic.200800836", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007374859"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cbic.200800836", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007374859"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.94.9.4504", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010004339"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02761755", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010249385", 
          "https://doi.org/10.1007/bf02761755"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature17938", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011009109", 
          "https://doi.org/10.1038/nature17938"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0022-2836(05)80038-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011386590"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/7939", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013126970", 
          "https://doi.org/10.1038/7939"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/7939", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013126970", 
          "https://doi.org/10.1038/7939"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/protein/gzp017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013644679"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/protein/gzp017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013644679"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12010-010-9052-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014306161", 
          "https://doi.org/10.1007/s12010-010-9052-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/347631a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016109935", 
          "https://doi.org/10.1038/347631a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.89.8.3576", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017276811"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature09929", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017568559", 
          "https://doi.org/10.1038/nature09929"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jmb.2012.11.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019099564"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/prot.340230306", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020617829"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/prot.340230306", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020617829"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature19946", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023334970", 
          "https://doi.org/10.1038/nature19946"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt0496-458", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023898426", 
          "https://doi.org/10.1038/nbt0496-458"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/19.21.6052", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024027890"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aem.01758-08", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026157291"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/glycob/cwt092", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028152146"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth899", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029083490", 
          "https://doi.org/10.1038/nmeth899"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth899", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029083490", 
          "https://doi.org/10.1038/nmeth899"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/370389a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030993177", 
          "https://doi.org/10.1038/370389a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt0597-436", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035145835", 
          "https://doi.org/10.1038/nbt0597-436"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/anie.200352100", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036441066"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncomms9425", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037681456", 
          "https://doi.org/10.1038/ncomms9425"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00018-010-0610-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037756476", 
          "https://doi.org/10.1007/s00018-010-0610-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt.3718", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040330800", 
          "https://doi.org/10.1038/nbt.3718"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aem.71.8.4220-4224.2005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041295519"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.90.12.5618", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043088840"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth.1971", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043926621", 
          "https://doi.org/10.1038/nmeth.1971"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg3927", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048146186", 
          "https://doi.org/10.1038/nrg3927"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.022039799", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049182397"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ymben.2017.02.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083849212"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ymben.2017.02.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083849212"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ymben.2017.02.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083849212"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ymben.2017.02.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083849212"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ymben.2017.02.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083849212"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.copbio.2017.05.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1086046349"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bit.26385", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090679245"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41467-017-01055-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092152760", 
          "https://doi.org/10.1038/s41467-017-01055-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00253-017-8584-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092594935", 
          "https://doi.org/10.1007/s00253-017-8584-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00253-017-8636-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092750143", 
          "https://doi.org/10.1007/s00253-017-8636-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature26155", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101264077", 
          "https://doi.org/10.1038/nature26155"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature26155", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101264077", 
          "https://doi.org/10.1038/nature26155"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/bty481", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1104586248"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41586-018-0384-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1105948068", 
          "https://doi.org/10.1038/s41586-018-0384-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41586-018-0384-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1105948068", 
          "https://doi.org/10.1038/s41586-018-0384-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41467-018-07488-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1110155335", 
          "https://doi.org/10.1038/s41467-018-07488-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41467-018-07488-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1110155335", 
          "https://doi.org/10.1038/s41467-018-07488-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41467-018-07488-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1110155335", 
          "https://doi.org/10.1038/s41467-018-07488-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41467-018-07488-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1110155335", 
          "https://doi.org/10.1038/s41467-018-07488-0"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-02", 
    "datePublishedReg": "2019-02-01", 
    "description": "In vivo protein evolution is a protein engineering approach that is performed by both generating mutagenesis libraries and selecting desired mutants in a cell. Despite its clear advantages in some aspects, the approach has not much been popularized compared to in vitro protein evolution methods which employ in vitro mutagenesis. The reason behind this unpopularity is the limitations in the low library diversity and specificity of in vivo mutagenic methods compared to those of in vitro mutagenic methods. While various non-specific and specific in vitro mutagenic methods, which allowed us to use computational design principles as well as random approach in the design of mutant library, had been developed, in vivo mutagenic methods were stalled at the step of random mutagenesis since the in vivo generation of target-specific library with high specificity and broad mutational spectra is quite challenging. Recently, various in vivo protein mutagenesis methods have been developed to generate rather focused libraries in a target-specific manner, thanks to the significant decrease in the price of oligomer synthesis and better understanding of DNA targeting systems. In this review, we examined the trends of in vivo protein evolution and inspect some of the state-of-the-art techniques that were recently introduced for in vivo protein mutagenesis in a target-specific manner. In vivo protein mutagenesis is a subject undergoing intense study and will become more specific and thorough simultaneously.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s12257-018-0394-2", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1036335", 
        "issn": [
          "1226-8372", 
          "1976-3816"
        ], 
        "name": "Biotechnology and Bioprocess Engineering", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "24"
      }
    ], 
    "name": "In vivo Protein Evolution, Next Generation Protein Engineering Strategy: from Random Approach to Target-specific Approach", 
    "pagination": "85-94", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "1828db18813bd4379d187582b692a2522ee4b7668bcb6e26db154f07bd86d1bf"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s12257-018-0394-2"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112772019"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s12257-018-0394-2", 
      "https://app.dimensions.ai/details/publication/pub.1112772019"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T11:51", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000359_0000000359/records_29182_00000004.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs12257-018-0394-2"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s12257-018-0394-2'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s12257-018-0394-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12257-018-0394-2'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12257-018-0394-2'


 

This table displays all metadata directly associated to this object as RDF triples.

276 TRIPLES      21 PREDICATES      78 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s12257-018-0394-2 schema:about anzsrc-for:06
2 anzsrc-for:0601
3 schema:author N6aa69af4c9644a048455db3eb1b7dfea
4 schema:citation sg:pub.10.1007/bf02761755
5 sg:pub.10.1007/s00018-010-0610-5
6 sg:pub.10.1007/s00253-017-8584-y
7 sg:pub.10.1007/s00253-017-8636-3
8 sg:pub.10.1007/s002530050886
9 sg:pub.10.1007/s12010-010-9052-7
10 sg:pub.10.1038/347631a0
11 sg:pub.10.1038/370389a0
12 sg:pub.10.1038/7939
13 sg:pub.10.1038/nature08187
14 sg:pub.10.1038/nature09929
15 sg:pub.10.1038/nature17938
16 sg:pub.10.1038/nature19946
17 sg:pub.10.1038/nature26155
18 sg:pub.10.1038/nbt.3718
19 sg:pub.10.1038/nbt0396-315
20 sg:pub.10.1038/nbt0496-458
21 sg:pub.10.1038/nbt0597-436
22 sg:pub.10.1038/ncomms9425
23 sg:pub.10.1038/nmeth.1971
24 sg:pub.10.1038/nmeth899
25 sg:pub.10.1038/nrg3927
26 sg:pub.10.1038/s41467-017-01055-9
27 sg:pub.10.1038/s41467-018-07488-0
28 sg:pub.10.1038/s41586-018-0384-8
29 https://doi.org/10.1002/anie.200352100
30 https://doi.org/10.1002/bit.26385
31 https://doi.org/10.1002/cbic.200800836
32 https://doi.org/10.1002/prot.340230306
33 https://doi.org/10.1016/0014-5793(95)00557-p
34 https://doi.org/10.1016/j.copbio.2005.06.004
35 https://doi.org/10.1016/j.copbio.2017.05.012
36 https://doi.org/10.1016/j.gene.2006.10.022
37 https://doi.org/10.1016/j.jmb.2012.11.015
38 https://doi.org/10.1016/j.ymben.2017.02.009
39 https://doi.org/10.1016/s0022-2836(05)80038-5
40 https://doi.org/10.1073/pnas.022039799
41 https://doi.org/10.1073/pnas.1215994110
42 https://doi.org/10.1073/pnas.83.3.576
43 https://doi.org/10.1073/pnas.89.8.3576
44 https://doi.org/10.1073/pnas.90.12.5618
45 https://doi.org/10.1073/pnas.94.9.4504
46 https://doi.org/10.1093/bioinformatics/bty481
47 https://doi.org/10.1093/glycob/cwt092
48 https://doi.org/10.1093/nar/16.15.7351
49 https://doi.org/10.1093/nar/19.21.6052
50 https://doi.org/10.1093/protein/gzp017
51 https://doi.org/10.1126/science.1205822
52 https://doi.org/10.1126/science.aac7041
53 https://doi.org/10.1128/aem.01758-08
54 https://doi.org/10.1128/aem.71.8.4220-4224.2005
55 schema:datePublished 2019-02
56 schema:datePublishedReg 2019-02-01
57 schema:description In vivo protein evolution is a protein engineering approach that is performed by both generating mutagenesis libraries and selecting desired mutants in a cell. Despite its clear advantages in some aspects, the approach has not much been popularized compared to in vitro protein evolution methods which employ in vitro mutagenesis. The reason behind this unpopularity is the limitations in the low library diversity and specificity of in vivo mutagenic methods compared to those of in vitro mutagenic methods. While various non-specific and specific in vitro mutagenic methods, which allowed us to use computational design principles as well as random approach in the design of mutant library, had been developed, in vivo mutagenic methods were stalled at the step of random mutagenesis since the in vivo generation of target-specific library with high specificity and broad mutational spectra is quite challenging. Recently, various in vivo protein mutagenesis methods have been developed to generate rather focused libraries in a target-specific manner, thanks to the significant decrease in the price of oligomer synthesis and better understanding of DNA targeting systems. In this review, we examined the trends of in vivo protein evolution and inspect some of the state-of-the-art techniques that were recently introduced for in vivo protein mutagenesis in a target-specific manner. In vivo protein mutagenesis is a subject undergoing intense study and will become more specific and thorough simultaneously.
58 schema:genre research_article
59 schema:inLanguage en
60 schema:isAccessibleForFree false
61 schema:isPartOf N0afd044e38554cfbb26bdb05df2b01ff
62 Nc1502576761d4466b604af9704b000cc
63 sg:journal.1036335
64 schema:name In vivo Protein Evolution, Next Generation Protein Engineering Strategy: from Random Approach to Target-specific Approach
65 schema:pagination 85-94
66 schema:productId N014c8162c2f14cf38f8b179f335690ee
67 Ndae7633def4d4a199b9b97406efbc459
68 Ned84e5b4b6ac48fe8a0e71647cb341ad
69 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112772019
70 https://doi.org/10.1007/s12257-018-0394-2
71 schema:sdDatePublished 2019-04-11T11:51
72 schema:sdLicense https://scigraph.springernature.com/explorer/license/
73 schema:sdPublisher N431626fa3345475596ed0ac116086dfd
74 schema:url https://link.springer.com/10.1007%2Fs12257-018-0394-2
75 sgo:license sg:explorer/license/
76 sgo:sdDataset articles
77 rdf:type schema:ScholarlyArticle
78 N014c8162c2f14cf38f8b179f335690ee schema:name readcube_id
79 schema:value 1828db18813bd4379d187582b692a2522ee4b7668bcb6e26db154f07bd86d1bf
80 rdf:type schema:PropertyValue
81 N0afd044e38554cfbb26bdb05df2b01ff schema:volumeNumber 24
82 rdf:type schema:PublicationVolume
83 N431626fa3345475596ed0ac116086dfd schema:name Springer Nature - SN SciGraph project
84 rdf:type schema:Organization
85 N48b31cf4393142b28ee706dca7818f67 schema:affiliation https://www.grid.ac/institutes/grid.31501.36
86 schema:familyName Kim
87 schema:givenName Jin Young
88 rdf:type schema:Person
89 N4f5af00c523b4e5891b3a76ee80ec851 rdf:first Na89abd897e984e48b51171a674834b18
90 rdf:rest rdf:nil
91 N6aa69af4c9644a048455db3eb1b7dfea rdf:first N48b31cf4393142b28ee706dca7818f67
92 rdf:rest Ne98aa8052dac40fdacc55447550e1138
93 N6b9016c89653499c94d541e68fbc06a3 rdf:first Nf6eff1578c7a43a6bd41830d9cff58be
94 rdf:rest N4f5af00c523b4e5891b3a76ee80ec851
95 N9fb078d104094d15857387a418ec2892 schema:affiliation https://www.grid.ac/institutes/grid.262229.f
96 schema:familyName Lee
97 schema:givenName Sun-Gu
98 rdf:type schema:Person
99 Na89abd897e984e48b51171a674834b18 schema:affiliation https://www.grid.ac/institutes/grid.31501.36
100 schema:familyName Kim
101 schema:givenName Byung-Gee
102 rdf:type schema:Person
103 Nb085d3fe57c64a3585b1beb78c0dd5d1 rdf:first N9fb078d104094d15857387a418ec2892
104 rdf:rest N6b9016c89653499c94d541e68fbc06a3
105 Nc1502576761d4466b604af9704b000cc schema:issueNumber 1
106 rdf:type schema:PublicationIssue
107 Nc8e01e5cc5a64d83ac2781991b212b97 schema:affiliation https://www.grid.ac/institutes/grid.31501.36
108 schema:familyName Yoo
109 schema:givenName Hee-Wang
110 rdf:type schema:Person
111 Ndae7633def4d4a199b9b97406efbc459 schema:name dimensions_id
112 schema:value pub.1112772019
113 rdf:type schema:PropertyValue
114 Ne1ff242fe280438bab29b8064816ef35 schema:affiliation https://www.grid.ac/institutes/grid.31501.36
115 schema:familyName Lee
116 schema:givenName Pyung-Gang
117 rdf:type schema:Person
118 Ne76c4824ecbb4718951091466e99184c rdf:first Ne1ff242fe280438bab29b8064816ef35
119 rdf:rest Nb085d3fe57c64a3585b1beb78c0dd5d1
120 Ne98aa8052dac40fdacc55447550e1138 rdf:first Nc8e01e5cc5a64d83ac2781991b212b97
121 rdf:rest Ne76c4824ecbb4718951091466e99184c
122 Ned84e5b4b6ac48fe8a0e71647cb341ad schema:name doi
123 schema:value 10.1007/s12257-018-0394-2
124 rdf:type schema:PropertyValue
125 Nf6eff1578c7a43a6bd41830d9cff58be schema:affiliation https://www.grid.ac/institutes/grid.91443.3b
126 schema:familyName Seo
127 schema:givenName Joo-Hyun
128 rdf:type schema:Person
129 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
130 schema:name Biological Sciences
131 rdf:type schema:DefinedTerm
132 anzsrc-for:0601 schema:inDefinedTermSet anzsrc-for:
133 schema:name Biochemistry and Cell Biology
134 rdf:type schema:DefinedTerm
135 sg:journal.1036335 schema:issn 1226-8372
136 1976-3816
137 schema:name Biotechnology and Bioprocess Engineering
138 rdf:type schema:Periodical
139 sg:pub.10.1007/bf02761755 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010249385
140 https://doi.org/10.1007/bf02761755
141 rdf:type schema:CreativeWork
142 sg:pub.10.1007/s00018-010-0610-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037756476
143 https://doi.org/10.1007/s00018-010-0610-5
144 rdf:type schema:CreativeWork
145 sg:pub.10.1007/s00253-017-8584-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1092594935
146 https://doi.org/10.1007/s00253-017-8584-y
147 rdf:type schema:CreativeWork
148 sg:pub.10.1007/s00253-017-8636-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092750143
149 https://doi.org/10.1007/s00253-017-8636-3
150 rdf:type schema:CreativeWork
151 sg:pub.10.1007/s002530050886 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000150356
152 https://doi.org/10.1007/s002530050886
153 rdf:type schema:CreativeWork
154 sg:pub.10.1007/s12010-010-9052-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014306161
155 https://doi.org/10.1007/s12010-010-9052-7
156 rdf:type schema:CreativeWork
157 sg:pub.10.1038/347631a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016109935
158 https://doi.org/10.1038/347631a0
159 rdf:type schema:CreativeWork
160 sg:pub.10.1038/370389a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030993177
161 https://doi.org/10.1038/370389a0
162 rdf:type schema:CreativeWork
163 sg:pub.10.1038/7939 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013126970
164 https://doi.org/10.1038/7939
165 rdf:type schema:CreativeWork
166 sg:pub.10.1038/nature08187 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004117037
167 https://doi.org/10.1038/nature08187
168 rdf:type schema:CreativeWork
169 sg:pub.10.1038/nature09929 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017568559
170 https://doi.org/10.1038/nature09929
171 rdf:type schema:CreativeWork
172 sg:pub.10.1038/nature17938 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011009109
173 https://doi.org/10.1038/nature17938
174 rdf:type schema:CreativeWork
175 sg:pub.10.1038/nature19946 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023334970
176 https://doi.org/10.1038/nature19946
177 rdf:type schema:CreativeWork
178 sg:pub.10.1038/nature26155 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101264077
179 https://doi.org/10.1038/nature26155
180 rdf:type schema:CreativeWork
181 sg:pub.10.1038/nbt.3718 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040330800
182 https://doi.org/10.1038/nbt.3718
183 rdf:type schema:CreativeWork
184 sg:pub.10.1038/nbt0396-315 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007123993
185 https://doi.org/10.1038/nbt0396-315
186 rdf:type schema:CreativeWork
187 sg:pub.10.1038/nbt0496-458 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023898426
188 https://doi.org/10.1038/nbt0496-458
189 rdf:type schema:CreativeWork
190 sg:pub.10.1038/nbt0597-436 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035145835
191 https://doi.org/10.1038/nbt0597-436
192 rdf:type schema:CreativeWork
193 sg:pub.10.1038/ncomms9425 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037681456
194 https://doi.org/10.1038/ncomms9425
195 rdf:type schema:CreativeWork
196 sg:pub.10.1038/nmeth.1971 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043926621
197 https://doi.org/10.1038/nmeth.1971
198 rdf:type schema:CreativeWork
199 sg:pub.10.1038/nmeth899 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029083490
200 https://doi.org/10.1038/nmeth899
201 rdf:type schema:CreativeWork
202 sg:pub.10.1038/nrg3927 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048146186
203 https://doi.org/10.1038/nrg3927
204 rdf:type schema:CreativeWork
205 sg:pub.10.1038/s41467-017-01055-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092152760
206 https://doi.org/10.1038/s41467-017-01055-9
207 rdf:type schema:CreativeWork
208 sg:pub.10.1038/s41467-018-07488-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1110155335
209 https://doi.org/10.1038/s41467-018-07488-0
210 rdf:type schema:CreativeWork
211 sg:pub.10.1038/s41586-018-0384-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105948068
212 https://doi.org/10.1038/s41586-018-0384-8
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1002/anie.200352100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036441066
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1002/bit.26385 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090679245
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1002/cbic.200800836 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007374859
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1002/prot.340230306 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020617829
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1016/0014-5793(95)00557-p schema:sameAs https://app.dimensions.ai/details/publication/pub.1006355480
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1016/j.copbio.2005.06.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004640885
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1016/j.copbio.2017.05.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1086046349
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1016/j.gene.2006.10.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006010578
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1016/j.jmb.2012.11.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019099564
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1016/j.ymben.2017.02.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083849212
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1016/s0022-2836(05)80038-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011386590
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1073/pnas.022039799 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049182397
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1073/pnas.1215994110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006671695
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1073/pnas.83.3.576 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003360395
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1073/pnas.89.8.3576 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017276811
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1073/pnas.90.12.5618 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043088840
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1073/pnas.94.9.4504 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010004339
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1093/bioinformatics/bty481 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104586248
249 rdf:type schema:CreativeWork
250 https://doi.org/10.1093/glycob/cwt092 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028152146
251 rdf:type schema:CreativeWork
252 https://doi.org/10.1093/nar/16.15.7351 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002118380
253 rdf:type schema:CreativeWork
254 https://doi.org/10.1093/nar/19.21.6052 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024027890
255 rdf:type schema:CreativeWork
256 https://doi.org/10.1093/protein/gzp017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013644679
257 rdf:type schema:CreativeWork
258 https://doi.org/10.1126/science.1205822 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005838002
259 rdf:type schema:CreativeWork
260 https://doi.org/10.1126/science.aac7041 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006504356
261 rdf:type schema:CreativeWork
262 https://doi.org/10.1128/aem.01758-08 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026157291
263 rdf:type schema:CreativeWork
264 https://doi.org/10.1128/aem.71.8.4220-4224.2005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041295519
265 rdf:type schema:CreativeWork
266 https://www.grid.ac/institutes/grid.262229.f schema:alternateName Pusan National University
267 schema:name Department of Chemical and Biochemical Engineering, Pusan National University, 46241, Busan, Korea
268 rdf:type schema:Organization
269 https://www.grid.ac/institutes/grid.31501.36 schema:alternateName Seoul National University
270 schema:name Institute of Molecular Biology and Genetics, Seoul National University, 08826, Seoul, Korea
271 Interdisciplinary Program in Bioengineering, Seoul National University, 08826, Seoul, Korea
272 School of Chemical and Biological Engineering · Institute of Engineering Research, Seoul National University, 08826, Seoul, Korea
273 rdf:type schema:Organization
274 https://www.grid.ac/institutes/grid.91443.3b schema:alternateName Kookmin University
275 schema:name Department of Bio and Fermentation Convergence Technology, Kookmin University, 02707, Seoul, Korea
276 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...