Measurement of the β-sheet-forming propensities of amino acids View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1994-02

AUTHORS

D L Minor, P S Kim

ABSTRACT

Several model systems have been used to evaluate the alpha-helical propensities of different amino acids. In contrast, experimental quantitation of beta-sheet preferences has been addressed in only one model system, a zinc-finger peptide. Here we measure the relative propensity for beta-sheet formation of the twenty naturally occurring amino acids in a variant of the small, monomeric, beta-sheet-rich, IgG-binding domain from protein G. Amino-acid substitutions were made at a guest site on the solvent-exposed surface of the beta-sheet. Several criteria were used to establish that the mutations did not cause significant structural changes: binding to the Fc domain of IgG, calorimetric unfolding and NMR spectroscopy. Characterization of the terminal stabilities of these proteins leads to a thermodynamic scale for beta-sheet propensities that spans a range of approximately 2 kcal mol-1 for the naturally occurring amino acids, excluding proline. The magnitude of the differences suggests that beta-sheet preferences can be important determinants of protein stability. More... »

PAGES

660-663

Journal

TITLE

Nature

ISSUE

6464

VOLUME

367

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/367660a0

DOI

http://dx.doi.org/10.1038/367660a0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1024274521

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/8107853


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/2008/1101", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical Biochemistry and Metabolomics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Amino Acids", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Calorimetry, Differential Scanning", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Circular Dichroism", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Immunoglobulin Fc Fragments", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Magnetic Resonance Spectroscopy", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Models, Molecular", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Mutagenesis, Site-Directed", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Nerve Tissue Proteins", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Protein Binding", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Protein Structure, Secondary", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Thermodynamics", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "Department of Chemistry, Massachusetts Institute of Technology, Nine Cambridge Centre 02142."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Minor", 
        "givenName": "D L", 
        "type": "Person"
      }, 
      {
        "familyName": "Kim", 
        "givenName": "P S", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1107/s0021889888005746", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008058971"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-2836(92)90907-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012137030"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0076-6879(87)54085-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012349220"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bip.360261104", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017320931"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bip.360261104", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017320931"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/336042a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020736236", 
          "https://doi.org/10.1038/336042a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-2836(86)90385-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027376608"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/344268a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031737388", 
          "https://doi.org/10.1038/344268a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0009-2614(80)80041-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040738091"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/362267a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047849556", 
          "https://doi.org/10.1038/362267a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/bi00072a010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055159737"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/bi00090a005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055160465"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/bi00129a007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055161988"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/bi00231a019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055166285"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/bi00479a003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055177740"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/bi00699a001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055185696"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/bi00859a010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055191349"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1871600", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062511231"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.2237415", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062528400"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.2237416", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062528401"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.8503008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062656374"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jb.167.3.870-880.1986", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062715148"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1994-02", 
    "datePublishedReg": "1994-02-01", 
    "description": "Several model systems have been used to evaluate the alpha-helical propensities of different amino acids. In contrast, experimental quantitation of beta-sheet preferences has been addressed in only one model system, a zinc-finger peptide. Here we measure the relative propensity for beta-sheet formation of the twenty naturally occurring amino acids in a variant of the small, monomeric, beta-sheet-rich, IgG-binding domain from protein G. Amino-acid substitutions were made at a guest site on the solvent-exposed surface of the beta-sheet. Several criteria were used to establish that the mutations did not cause significant structural changes: binding to the Fc domain of IgG, calorimetric unfolding and NMR spectroscopy. Characterization of the terminal stabilities of these proteins leads to a thermodynamic scale for beta-sheet propensities that spans a range of approximately 2 kcal mol-1 for the naturally occurring amino acids, excluding proline. The magnitude of the differences suggests that beta-sheet preferences can be important determinants of protein stability.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/367660a0", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1018957", 
        "issn": [
          "0090-0028", 
          "1476-4687"
        ], 
        "name": "Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "6464", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "367"
      }
    ], 
    "name": "Measurement of the \u03b2-sheet-forming propensities of amino acids", 
    "pagination": "660-663", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "73a598a1652ce103882c318f0b25165f331ae515ca3d5dab96ee85179d43f875"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "8107853"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0410462"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/367660a0"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1024274521"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/367660a0", 
      "https://app.dimensions.ai/details/publication/pub.1024274521"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T01:46", 
    "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/v90/0000000001_0000000264/records_8700_00000424.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://www.nature.com/articles/367660a0"
  }
]
 

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.10.1038/367660a0'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/367660a0'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/367660a0'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/367660a0'


 

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

182 TRIPLES      21 PREDICATES      61 URIs      32 LITERALS      20 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/367660a0 schema:about N0185cf1cbe204449b253badd5f14a9f8
2 N051996843dd84cb2a5a3823c00f3f038
3 N0e30a0fa06374d70930617f9e98e833f
4 N2cfcdc2d1cef42588285b8667d202436
5 N3ec1e7ecfeed491d8da1964a0db8cbe4
6 N6c8c3dea50af410e9b965bace551d353
7 N7bff060bfab548958a6d15be255c5c0f
8 N95bc5595e2374b27a95a71ab2366f2ee
9 Nc31b1ed9a08e49cdb51a99350623ccea
10 Ne69a259a0b2f4c17ad8ebe55fa4d3e6e
11 Nfbbc719a89b646d195179e3530f5aee7
12 anzsrc-for:11
13 anzsrc-for:1101
14 schema:author N9da6412b5e664f7f94cf499a8c1a6580
15 schema:citation sg:pub.10.1038/336042a0
16 sg:pub.10.1038/344268a0
17 sg:pub.10.1038/362267a0
18 https://doi.org/10.1002/bip.360261104
19 https://doi.org/10.1016/0009-2614(80)80041-8
20 https://doi.org/10.1016/0022-2836(86)90385-2
21 https://doi.org/10.1016/0022-2836(92)90907-2
22 https://doi.org/10.1016/0076-6879(87)54085-x
23 https://doi.org/10.1021/bi00072a010
24 https://doi.org/10.1021/bi00090a005
25 https://doi.org/10.1021/bi00129a007
26 https://doi.org/10.1021/bi00231a019
27 https://doi.org/10.1021/bi00479a003
28 https://doi.org/10.1021/bi00699a001
29 https://doi.org/10.1021/bi00859a010
30 https://doi.org/10.1107/s0021889888005746
31 https://doi.org/10.1126/science.1871600
32 https://doi.org/10.1126/science.2237415
33 https://doi.org/10.1126/science.2237416
34 https://doi.org/10.1126/science.8503008
35 https://doi.org/10.1128/jb.167.3.870-880.1986
36 schema:datePublished 1994-02
37 schema:datePublishedReg 1994-02-01
38 schema:description Several model systems have been used to evaluate the alpha-helical propensities of different amino acids. In contrast, experimental quantitation of beta-sheet preferences has been addressed in only one model system, a zinc-finger peptide. Here we measure the relative propensity for beta-sheet formation of the twenty naturally occurring amino acids in a variant of the small, monomeric, beta-sheet-rich, IgG-binding domain from protein G. Amino-acid substitutions were made at a guest site on the solvent-exposed surface of the beta-sheet. Several criteria were used to establish that the mutations did not cause significant structural changes: binding to the Fc domain of IgG, calorimetric unfolding and NMR spectroscopy. Characterization of the terminal stabilities of these proteins leads to a thermodynamic scale for beta-sheet propensities that spans a range of approximately 2 kcal mol-1 for the naturally occurring amino acids, excluding proline. The magnitude of the differences suggests that beta-sheet preferences can be important determinants of protein stability.
39 schema:genre research_article
40 schema:inLanguage en
41 schema:isAccessibleForFree false
42 schema:isPartOf N16bb3d4091cf47239607ceedeb6c3163
43 N4e20e122ada6425c9fe4e99a4d9cb712
44 sg:journal.1018957
45 schema:name Measurement of the β-sheet-forming propensities of amino acids
46 schema:pagination 660-663
47 schema:productId N1305f3dd54a6493c9eaf1f7dd9784720
48 N6890979686a24f69ab2332b67bc177c9
49 Na9a5f6c6e7e24774bb8c85cffbf58d0a
50 Nc47d6f2f1fa3487985abb1081ec9ecba
51 Nec0fa10beb3f42afa908fa346e1490b1
52 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024274521
53 https://doi.org/10.1038/367660a0
54 schema:sdDatePublished 2019-04-11T01:46
55 schema:sdLicense https://scigraph.springernature.com/explorer/license/
56 schema:sdPublisher N67b7863f2a5d4bbdb4906cc9a058ce2f
57 schema:url http://www.nature.com/articles/367660a0
58 sgo:license sg:explorer/license/
59 sgo:sdDataset articles
60 rdf:type schema:ScholarlyArticle
61 N0185cf1cbe204449b253badd5f14a9f8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
62 schema:name Models, Molecular
63 rdf:type schema:DefinedTerm
64 N051996843dd84cb2a5a3823c00f3f038 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
65 schema:name Nerve Tissue Proteins
66 rdf:type schema:DefinedTerm
67 N0e30a0fa06374d70930617f9e98e833f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
68 schema:name Calorimetry, Differential Scanning
69 rdf:type schema:DefinedTerm
70 N1305f3dd54a6493c9eaf1f7dd9784720 schema:name readcube_id
71 schema:value 73a598a1652ce103882c318f0b25165f331ae515ca3d5dab96ee85179d43f875
72 rdf:type schema:PropertyValue
73 N16bb3d4091cf47239607ceedeb6c3163 schema:volumeNumber 367
74 rdf:type schema:PublicationVolume
75 N2cfcdc2d1cef42588285b8667d202436 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
76 schema:name Mutagenesis, Site-Directed
77 rdf:type schema:DefinedTerm
78 N37c5bedd8a8e41afa1cb1829d007c291 rdf:first N50b13a1216de4b8096b789811fc23fd4
79 rdf:rest rdf:nil
80 N3ec1e7ecfeed491d8da1964a0db8cbe4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
81 schema:name Thermodynamics
82 rdf:type schema:DefinedTerm
83 N48fa7e781fcc4e1791ebe412adb35f86 schema:affiliation Ndfdf8ad3aaad45da8d2c2444a43f98a5
84 schema:familyName Minor
85 schema:givenName D L
86 rdf:type schema:Person
87 N4e20e122ada6425c9fe4e99a4d9cb712 schema:issueNumber 6464
88 rdf:type schema:PublicationIssue
89 N50b13a1216de4b8096b789811fc23fd4 schema:familyName Kim
90 schema:givenName P S
91 rdf:type schema:Person
92 N67b7863f2a5d4bbdb4906cc9a058ce2f schema:name Springer Nature - SN SciGraph project
93 rdf:type schema:Organization
94 N6890979686a24f69ab2332b67bc177c9 schema:name pubmed_id
95 schema:value 8107853
96 rdf:type schema:PropertyValue
97 N6c8c3dea50af410e9b965bace551d353 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
98 schema:name Protein Binding
99 rdf:type schema:DefinedTerm
100 N7bff060bfab548958a6d15be255c5c0f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
101 schema:name Amino Acids
102 rdf:type schema:DefinedTerm
103 N95bc5595e2374b27a95a71ab2366f2ee schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
104 schema:name Immunoglobulin Fc Fragments
105 rdf:type schema:DefinedTerm
106 N9da6412b5e664f7f94cf499a8c1a6580 rdf:first N48fa7e781fcc4e1791ebe412adb35f86
107 rdf:rest N37c5bedd8a8e41afa1cb1829d007c291
108 Na9a5f6c6e7e24774bb8c85cffbf58d0a schema:name doi
109 schema:value 10.1038/367660a0
110 rdf:type schema:PropertyValue
111 Nc31b1ed9a08e49cdb51a99350623ccea schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
112 schema:name Circular Dichroism
113 rdf:type schema:DefinedTerm
114 Nc47d6f2f1fa3487985abb1081ec9ecba schema:name dimensions_id
115 schema:value pub.1024274521
116 rdf:type schema:PropertyValue
117 Ndfdf8ad3aaad45da8d2c2444a43f98a5 schema:name Department of Chemistry, Massachusetts Institute of Technology, Nine Cambridge Centre 02142.
118 rdf:type schema:Organization
119 Ne69a259a0b2f4c17ad8ebe55fa4d3e6e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name Protein Structure, Secondary
121 rdf:type schema:DefinedTerm
122 Nec0fa10beb3f42afa908fa346e1490b1 schema:name nlm_unique_id
123 schema:value 0410462
124 rdf:type schema:PropertyValue
125 Nfbbc719a89b646d195179e3530f5aee7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Magnetic Resonance Spectroscopy
127 rdf:type schema:DefinedTerm
128 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
129 schema:name Medical and Health Sciences
130 rdf:type schema:DefinedTerm
131 anzsrc-for:1101 schema:inDefinedTermSet anzsrc-for:
132 schema:name Medical Biochemistry and Metabolomics
133 rdf:type schema:DefinedTerm
134 sg:journal.1018957 schema:issn 0090-0028
135 1476-4687
136 schema:name Nature
137 rdf:type schema:Periodical
138 sg:pub.10.1038/336042a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020736236
139 https://doi.org/10.1038/336042a0
140 rdf:type schema:CreativeWork
141 sg:pub.10.1038/344268a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031737388
142 https://doi.org/10.1038/344268a0
143 rdf:type schema:CreativeWork
144 sg:pub.10.1038/362267a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047849556
145 https://doi.org/10.1038/362267a0
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1002/bip.360261104 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017320931
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1016/0009-2614(80)80041-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040738091
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1016/0022-2836(86)90385-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027376608
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1016/0022-2836(92)90907-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012137030
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1016/0076-6879(87)54085-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1012349220
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1021/bi00072a010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055159737
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1021/bi00090a005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055160465
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1021/bi00129a007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055161988
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1021/bi00231a019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055166285
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1021/bi00479a003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055177740
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1021/bi00699a001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055185696
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1021/bi00859a010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055191349
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1107/s0021889888005746 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008058971
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1126/science.1871600 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062511231
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1126/science.2237415 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062528400
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1126/science.2237416 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062528401
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1126/science.8503008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062656374
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1128/jb.167.3.870-880.1986 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062715148
182 rdf:type schema:CreativeWork
 




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


...