The program XEASY for computer-supported NMR spectral analysis of biological macromolecules View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1995-07

AUTHORS

Christian Bartels, Tai-he Xia, Martin Billeter, Peter Güntert, Kurt Wüthrich

ABSTRACT

A new program package, XEASY, was written for interactive computer support of the analysis of NMR spectra for three-dimensional structure determination of biological macromolecules. XEASY was developed for work with 2D, 3D and 4D NMR data sets. It includes all the functions performed by the precursor program EASY, which was designed for the analysis of 2D NMR spectra, i.e., peak picking and support of sequence-specific resonance assignments, cross-peak assignments, cross-peak integration and rate constant determination for dynamic processes. Since the program utilizes the X-window system and the Motif widget set, it is portable on a wide range of UNIX workstations. The design objective was to provide maximal computer support for the analysis of spectra, while providing the user with complete control over the final resonance assignments. Technically important features of XEASY are the use and flexible visual display of 'strips', i.e., two-dimensional spectral regions that contain the relevant parts of 3D or 4D NMR spectra, automated sorting routines to narrow down the selection of strips that need to be interactively considered in a particular assignment step, a protocol of resonance assignments that can be used for reliable bookkeeping, independent of the assignment strategy used, and capabilities for proper treatment of spectral folding and efficient transfer of resonance assignments between spectra of different types and different dimensionality, including projected, reduced-dimensionality triple-resonance experiments. More... »

PAGES

1-10

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf00417486

DOI

http://dx.doi.org/10.1007/bf00417486

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1015332811

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/22911575


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/2008/0801", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Artificial Intelligence and Image Processing", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "Institut f\u00fcr Molekularbiologie und Biophysik, Eidgen\u00f6ssische Technische Hochschule-H\u00f6nggerberg, CH-8093, Z\u00fcrich, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bartels", 
        "givenName": "Christian", 
        "id": "sg:person.011770242371.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011770242371.39"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Institut f\u00fcr Molekularbiologie und Biophysik, Eidgen\u00f6ssische Technische Hochschule-H\u00f6nggerberg, CH-8093, Z\u00fcrich, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Xia", 
        "givenName": "Tai-he", 
        "id": "sg:person.0705057342.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0705057342.08"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Institut f\u00fcr Molekularbiologie und Biophysik, Eidgen\u00f6ssische Technische Hochschule-H\u00f6nggerberg, CH-8093, Z\u00fcrich, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Billeter", 
        "givenName": "Martin", 
        "id": "sg:person.01112267660.80", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01112267660.80"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Institut f\u00fcr Molekularbiologie und Biophysik, Eidgen\u00f6ssische Technische Hochschule-H\u00f6nggerberg, CH-8093, Z\u00fcrich, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "G\u00fcntert", 
        "givenName": "Peter", 
        "id": "sg:person.01201353333.77", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01201353333.77"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Institut f\u00fcr Molekularbiologie und Biophysik, Eidgen\u00f6ssische Technische Hochschule-H\u00f6nggerberg, CH-8093, Z\u00fcrich, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "W\u00fcthrich", 
        "givenName": "Kurt", 
        "id": "sg:person.01242752130.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01242752130.43"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/bf00156614", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000842480", 
          "https://doi.org/10.1007/bf00156614"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00156614", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000842480", 
          "https://doi.org/10.1007/bf00156614"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1432-1033.1994.tb18677.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001583481"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-2364(88)90063-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003611154"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-2836(91)90755-u", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005616750"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/jmbi.1994.1108", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010240617"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00398408", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011572941", 
          "https://doi.org/10.1007/bf00398408"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00398408", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011572941", 
          "https://doi.org/10.1007/bf00398408"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02907530", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016001786", 
          "https://doi.org/10.1007/bf02907530"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02907530", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016001786", 
          "https://doi.org/10.1007/bf02907530"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02192850", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018314375", 
          "https://doi.org/10.1007/bf02192850"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02192850", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018314375", 
          "https://doi.org/10.1007/bf02192850"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-2364(88)90346-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019590130"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-2364(88)90179-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020236552"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00174613", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020274348", 
          "https://doi.org/10.1007/bf00174613"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0014-5793(91)80808-g", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021630826"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.91.24.11343", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022179173"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01874567", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022531373", 
          "https://doi.org/10.1007/bf01874567"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01874567", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022531373", 
          "https://doi.org/10.1007/bf01874567"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00178267", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022872214", 
          "https://doi.org/10.1007/bf00178267"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00179343", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024113080", 
          "https://doi.org/10.1007/bf00179343"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-2364(88)90144-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026125472"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00178334", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029559064", 
          "https://doi.org/10.1007/bf00178334"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00178337", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032395829", 
          "https://doi.org/10.1007/bf00178337"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/jmrb.1993.1079", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036787816"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bip.1978.360170908", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041176382"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0022-2836(83)80144-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041912515"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/jmrb.1994.1121", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042329688"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-2364(88)90203-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045908175"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00242481", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047595811", 
          "https://doi.org/10.1007/bf00242481"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00242481", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047595811", 
          "https://doi.org/10.1007/bf00242481"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0006-291x(84)91403-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050725417"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01877224", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052522054", 
          "https://doi.org/10.1007/bf01877224"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01877224", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052522054", 
          "https://doi.org/10.1007/bf01877224"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac00290a018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054990876"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ar00028a001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055148405"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/bi00466a018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055177348"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/bi00471a022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055177505"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ci00012a010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055399952"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja00042a003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055701544"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja00073a064", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055704443"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1995-07", 
    "datePublishedReg": "1995-07-01", 
    "description": "A new program package, XEASY, was written for interactive computer support of the analysis of NMR spectra for three-dimensional structure determination of biological macromolecules. XEASY was developed for work with 2D, 3D and 4D NMR data sets. It includes all the functions performed by the precursor program EASY, which was designed for the analysis of 2D NMR spectra, i.e., peak picking and support of sequence-specific resonance assignments, cross-peak assignments, cross-peak integration and rate constant determination for dynamic processes. Since the program utilizes the X-window system and the Motif widget set, it is portable on a wide range of UNIX workstations. The design objective was to provide maximal computer support for the analysis of spectra, while providing the user with complete control over the final resonance assignments. Technically important features of XEASY are the use and flexible visual display of 'strips', i.e., two-dimensional spectral regions that contain the relevant parts of 3D or 4D NMR spectra, automated sorting routines to narrow down the selection of strips that need to be interactively considered in a particular assignment step, a protocol of resonance assignments that can be used for reliable bookkeeping, independent of the assignment strategy used, and capabilities for proper treatment of spectral folding and efficient transfer of resonance assignments between spectra of different types and different dimensionality, including projected, reduced-dimensionality triple-resonance experiments.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/bf00417486", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1101518", 
        "issn": [
          "0925-2738", 
          "1573-5001"
        ], 
        "name": "Journal of Biomolecular NMR", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "6"
      }
    ], 
    "name": "The program XEASY for computer-supported NMR spectral analysis of biological macromolecules", 
    "pagination": "1-10", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "490e1895046d9f321b687d3f15152541502e339088c8aef6d805f95344a25e5c"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "22911575"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9110829"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/bf00417486"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1015332811"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/bf00417486", 
      "https://app.dimensions.ai/details/publication/pub.1015332811"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:52", 
    "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/v90/0000000371_0000000371/records_130805_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/BF00417486"
  }
]
 

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/bf00417486'

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/bf00417486'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf00417486'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf00417486'


 

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

218 TRIPLES      21 PREDICATES      63 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/bf00417486 schema:about anzsrc-for:08
2 anzsrc-for:0801
3 schema:author Ne073ea49c0ac4825b86f9426e19902e2
4 schema:citation sg:pub.10.1007/bf00156614
5 sg:pub.10.1007/bf00174613
6 sg:pub.10.1007/bf00178267
7 sg:pub.10.1007/bf00178334
8 sg:pub.10.1007/bf00178337
9 sg:pub.10.1007/bf00179343
10 sg:pub.10.1007/bf00242481
11 sg:pub.10.1007/bf00398408
12 sg:pub.10.1007/bf01874567
13 sg:pub.10.1007/bf01877224
14 sg:pub.10.1007/bf02192850
15 sg:pub.10.1007/bf02907530
16 https://doi.org/10.1002/bip.1978.360170908
17 https://doi.org/10.1006/jmbi.1994.1108
18 https://doi.org/10.1006/jmrb.1993.1079
19 https://doi.org/10.1006/jmrb.1994.1121
20 https://doi.org/10.1016/0006-291x(84)91403-7
21 https://doi.org/10.1016/0014-5793(91)80808-g
22 https://doi.org/10.1016/0022-2364(88)90063-7
23 https://doi.org/10.1016/0022-2364(88)90144-8
24 https://doi.org/10.1016/0022-2364(88)90179-5
25 https://doi.org/10.1016/0022-2364(88)90203-x
26 https://doi.org/10.1016/0022-2364(88)90346-0
27 https://doi.org/10.1016/0022-2836(91)90755-u
28 https://doi.org/10.1016/s0022-2836(83)80144-2
29 https://doi.org/10.1021/ac00290a018
30 https://doi.org/10.1021/ar00028a001
31 https://doi.org/10.1021/bi00466a018
32 https://doi.org/10.1021/bi00471a022
33 https://doi.org/10.1021/ci00012a010
34 https://doi.org/10.1021/ja00042a003
35 https://doi.org/10.1021/ja00073a064
36 https://doi.org/10.1073/pnas.91.24.11343
37 https://doi.org/10.1111/j.1432-1033.1994.tb18677.x
38 schema:datePublished 1995-07
39 schema:datePublishedReg 1995-07-01
40 schema:description A new program package, XEASY, was written for interactive computer support of the analysis of NMR spectra for three-dimensional structure determination of biological macromolecules. XEASY was developed for work with 2D, 3D and 4D NMR data sets. It includes all the functions performed by the precursor program EASY, which was designed for the analysis of 2D NMR spectra, i.e., peak picking and support of sequence-specific resonance assignments, cross-peak assignments, cross-peak integration and rate constant determination for dynamic processes. Since the program utilizes the X-window system and the Motif widget set, it is portable on a wide range of UNIX workstations. The design objective was to provide maximal computer support for the analysis of spectra, while providing the user with complete control over the final resonance assignments. Technically important features of XEASY are the use and flexible visual display of 'strips', i.e., two-dimensional spectral regions that contain the relevant parts of 3D or 4D NMR spectra, automated sorting routines to narrow down the selection of strips that need to be interactively considered in a particular assignment step, a protocol of resonance assignments that can be used for reliable bookkeeping, independent of the assignment strategy used, and capabilities for proper treatment of spectral folding and efficient transfer of resonance assignments between spectra of different types and different dimensionality, including projected, reduced-dimensionality triple-resonance experiments.
41 schema:genre research_article
42 schema:inLanguage en
43 schema:isAccessibleForFree false
44 schema:isPartOf Ncc9c6d39bffd4879b1020dbdbdbe1dff
45 Ndf1db9ef7b3f498c9a86007dfb1ddccb
46 sg:journal.1101518
47 schema:name The program XEASY for computer-supported NMR spectral analysis of biological macromolecules
48 schema:pagination 1-10
49 schema:productId N010d0ee0424948af8cb9b3d5db502f7f
50 N0b02c1d9023843a081334bb39e3e3ee4
51 N44059bd99ce14af3b70daa01aed9d74c
52 Nb960d7770c354eaeb33cdbe947028fbe
53 Nba2ef85146da4b0983fd333b1fd23e95
54 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015332811
55 https://doi.org/10.1007/bf00417486
56 schema:sdDatePublished 2019-04-11T13:52
57 schema:sdLicense https://scigraph.springernature.com/explorer/license/
58 schema:sdPublisher Nf123a1aec3514ff7811bf0a141792b82
59 schema:url http://link.springer.com/10.1007/BF00417486
60 sgo:license sg:explorer/license/
61 sgo:sdDataset articles
62 rdf:type schema:ScholarlyArticle
63 N010d0ee0424948af8cb9b3d5db502f7f schema:name pubmed_id
64 schema:value 22911575
65 rdf:type schema:PropertyValue
66 N0b02c1d9023843a081334bb39e3e3ee4 schema:name readcube_id
67 schema:value 490e1895046d9f321b687d3f15152541502e339088c8aef6d805f95344a25e5c
68 rdf:type schema:PropertyValue
69 N3d145c0485134d52887d18795609bbf2 schema:name Institut für Molekularbiologie und Biophysik, Eidgenössische Technische Hochschule-Hönggerberg, CH-8093, Zürich, Switzerland
70 rdf:type schema:Organization
71 N44059bd99ce14af3b70daa01aed9d74c schema:name dimensions_id
72 schema:value pub.1015332811
73 rdf:type schema:PropertyValue
74 N44f9825bcd234685a0aa9a225bc44b9b rdf:first sg:person.01201353333.77
75 rdf:rest Nc46d2b3f4e154bb291d77ac044106507
76 N73cfa177be49481ca44a8c64d47f17c0 schema:name Institut für Molekularbiologie und Biophysik, Eidgenössische Technische Hochschule-Hönggerberg, CH-8093, Zürich, Switzerland
77 rdf:type schema:Organization
78 N83fa850565d94f568b657e533f7199a9 schema:name Institut für Molekularbiologie und Biophysik, Eidgenössische Technische Hochschule-Hönggerberg, CH-8093, Zürich, Switzerland
79 rdf:type schema:Organization
80 Nb960d7770c354eaeb33cdbe947028fbe schema:name nlm_unique_id
81 schema:value 9110829
82 rdf:type schema:PropertyValue
83 Nba2ef85146da4b0983fd333b1fd23e95 schema:name doi
84 schema:value 10.1007/bf00417486
85 rdf:type schema:PropertyValue
86 Nc127aae613f447aba47fa3b15044a026 rdf:first sg:person.01112267660.80
87 rdf:rest N44f9825bcd234685a0aa9a225bc44b9b
88 Nc46d2b3f4e154bb291d77ac044106507 rdf:first sg:person.01242752130.43
89 rdf:rest rdf:nil
90 Ncc9c6d39bffd4879b1020dbdbdbe1dff schema:volumeNumber 6
91 rdf:type schema:PublicationVolume
92 Ndec8e125e6194d5eb24cd75680a7dfa9 rdf:first sg:person.0705057342.08
93 rdf:rest Nc127aae613f447aba47fa3b15044a026
94 Ndf1db9ef7b3f498c9a86007dfb1ddccb schema:issueNumber 1
95 rdf:type schema:PublicationIssue
96 Ne073ea49c0ac4825b86f9426e19902e2 rdf:first sg:person.011770242371.39
97 rdf:rest Ndec8e125e6194d5eb24cd75680a7dfa9
98 Nec6799431c7144deb1be44efdc8efcac schema:name Institut für Molekularbiologie und Biophysik, Eidgenössische Technische Hochschule-Hönggerberg, CH-8093, Zürich, Switzerland
99 rdf:type schema:Organization
100 Nf123a1aec3514ff7811bf0a141792b82 schema:name Springer Nature - SN SciGraph project
101 rdf:type schema:Organization
102 Nf1fed52c6036450088c3f70b1f07ac10 schema:name Institut für Molekularbiologie und Biophysik, Eidgenössische Technische Hochschule-Hönggerberg, CH-8093, Zürich, Switzerland
103 rdf:type schema:Organization
104 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
105 schema:name Information and Computing Sciences
106 rdf:type schema:DefinedTerm
107 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
108 schema:name Artificial Intelligence and Image Processing
109 rdf:type schema:DefinedTerm
110 sg:journal.1101518 schema:issn 0925-2738
111 1573-5001
112 schema:name Journal of Biomolecular NMR
113 rdf:type schema:Periodical
114 sg:person.01112267660.80 schema:affiliation N83fa850565d94f568b657e533f7199a9
115 schema:familyName Billeter
116 schema:givenName Martin
117 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01112267660.80
118 rdf:type schema:Person
119 sg:person.011770242371.39 schema:affiliation N73cfa177be49481ca44a8c64d47f17c0
120 schema:familyName Bartels
121 schema:givenName Christian
122 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011770242371.39
123 rdf:type schema:Person
124 sg:person.01201353333.77 schema:affiliation Nec6799431c7144deb1be44efdc8efcac
125 schema:familyName Güntert
126 schema:givenName Peter
127 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01201353333.77
128 rdf:type schema:Person
129 sg:person.01242752130.43 schema:affiliation N3d145c0485134d52887d18795609bbf2
130 schema:familyName Wüthrich
131 schema:givenName Kurt
132 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01242752130.43
133 rdf:type schema:Person
134 sg:person.0705057342.08 schema:affiliation Nf1fed52c6036450088c3f70b1f07ac10
135 schema:familyName Xia
136 schema:givenName Tai-he
137 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0705057342.08
138 rdf:type schema:Person
139 sg:pub.10.1007/bf00156614 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000842480
140 https://doi.org/10.1007/bf00156614
141 rdf:type schema:CreativeWork
142 sg:pub.10.1007/bf00174613 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020274348
143 https://doi.org/10.1007/bf00174613
144 rdf:type schema:CreativeWork
145 sg:pub.10.1007/bf00178267 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022872214
146 https://doi.org/10.1007/bf00178267
147 rdf:type schema:CreativeWork
148 sg:pub.10.1007/bf00178334 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029559064
149 https://doi.org/10.1007/bf00178334
150 rdf:type schema:CreativeWork
151 sg:pub.10.1007/bf00178337 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032395829
152 https://doi.org/10.1007/bf00178337
153 rdf:type schema:CreativeWork
154 sg:pub.10.1007/bf00179343 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024113080
155 https://doi.org/10.1007/bf00179343
156 rdf:type schema:CreativeWork
157 sg:pub.10.1007/bf00242481 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047595811
158 https://doi.org/10.1007/bf00242481
159 rdf:type schema:CreativeWork
160 sg:pub.10.1007/bf00398408 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011572941
161 https://doi.org/10.1007/bf00398408
162 rdf:type schema:CreativeWork
163 sg:pub.10.1007/bf01874567 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022531373
164 https://doi.org/10.1007/bf01874567
165 rdf:type schema:CreativeWork
166 sg:pub.10.1007/bf01877224 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052522054
167 https://doi.org/10.1007/bf01877224
168 rdf:type schema:CreativeWork
169 sg:pub.10.1007/bf02192850 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018314375
170 https://doi.org/10.1007/bf02192850
171 rdf:type schema:CreativeWork
172 sg:pub.10.1007/bf02907530 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016001786
173 https://doi.org/10.1007/bf02907530
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1002/bip.1978.360170908 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041176382
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1006/jmbi.1994.1108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010240617
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1006/jmrb.1993.1079 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036787816
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1006/jmrb.1994.1121 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042329688
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1016/0006-291x(84)91403-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050725417
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1016/0014-5793(91)80808-g schema:sameAs https://app.dimensions.ai/details/publication/pub.1021630826
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1016/0022-2364(88)90063-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003611154
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1016/0022-2364(88)90144-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026125472
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1016/0022-2364(88)90179-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020236552
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1016/0022-2364(88)90203-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1045908175
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1016/0022-2364(88)90346-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019590130
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1016/0022-2836(91)90755-u schema:sameAs https://app.dimensions.ai/details/publication/pub.1005616750
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1016/s0022-2836(83)80144-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041912515
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1021/ac00290a018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054990876
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1021/ar00028a001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055148405
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1021/bi00466a018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055177348
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1021/bi00471a022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055177505
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1021/ci00012a010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055399952
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1021/ja00042a003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055701544
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1021/ja00073a064 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055704443
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1073/pnas.91.24.11343 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022179173
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1111/j.1432-1033.1994.tb18677.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1001583481
218 rdf:type schema:CreativeWork
 




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


...