Low-mass ions produced from peptides by high-energy collision-induced dissociation in tandem mass spectrometry View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

1993-11

AUTHORS

A. M. Falick, W. M. Hines, K. F. Medzihradszky, M. A. Baldwin, B. W. Gibson

ABSTRACT

High-energy collision-induced dissociation (CID) mass spectrometry provides a rapid and sensitive means for determining the primary sequence of peptides. The low-mass region (below mass 300) of a large number of tandem CID spectra of peptides has been analyzed. This mass region contains several types of informative fragment ions, including dipeptide ions, immonium ions, and other related ions. Useful low-mass ions are also present in negative-ion CID spectra. Immonium ions (general structure [H2N=CH-R](+), where R is the amino acid side chain) and related ions characteristic of specific amino acid residues give information as to the presence or absence of these residues in the peptide being analyzed. Tables of observed immonium and reiated ions for the 20 standard amino acids and for a number of modified amino acids are presented. A database consisting of 228 high-energy CID spectra of peptides has been established, and the frequency of occurrence of various ions indicative of specific ammo acid residues has been determined. Two model computer-aided schemes for analysis of the ammo-acid content of unknown peptides have been developed and tested against the database. More... »

PAGES

882-893

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1016/1044-0305(93)87006-x

DOI

http://dx.doi.org/10.1016/1044-0305(93)87006-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1011615787

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24227532


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": "University of California, San Francisco", 
          "id": "https://www.grid.ac/institutes/grid.266102.1", 
          "name": [
            "Mass Spectrometry Facility, Department of Pharmaceutical Chemistry, University of California, 91143-0446, San Francisco, California"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Falick", 
        "givenName": "A. M.", 
        "id": "sg:person.0703636727.90", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0703636727.90"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of California, San Francisco", 
          "id": "https://www.grid.ac/institutes/grid.266102.1", 
          "name": [
            "Mass Spectrometry Facility, Department of Pharmaceutical Chemistry, University of California, 91143-0446, San Francisco, California"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hines", 
        "givenName": "W. M.", 
        "id": "sg:person.01225403417.68", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01225403417.68"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of California, San Francisco", 
          "id": "https://www.grid.ac/institutes/grid.266102.1", 
          "name": [
            "Mass Spectrometry Facility, Department of Pharmaceutical Chemistry, University of California, 91143-0446, San Francisco, California"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Medzihradszky", 
        "givenName": "K. F.", 
        "id": "sg:person.016573064477.47", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016573064477.47"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of California, San Francisco", 
          "id": "https://www.grid.ac/institutes/grid.266102.1", 
          "name": [
            "Department of Neurology, University of California, 91143-0446, San Francisco, California"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Baldwin", 
        "givenName": "M. A.", 
        "id": "sg:person.0653147250.26", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0653147250.26"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of California, San Francisco", 
          "id": "https://www.grid.ac/institutes/grid.266102.1", 
          "name": [
            "Mass Spectrometry Facility, Department of Pharmaceutical Chemistry, University of California, 91143-0446, San Francisco, California"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gibson", 
        "givenName": "B. W.", 
        "id": "sg:person.014403467677.57", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014403467677.57"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/0076-6879(90)93460-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002794160"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bms.1200181102", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005689598"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bms.1200181102", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005689598"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bms.1200170106", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006746663"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bms.1200170106", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006746663"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0076-6879(90)93427-m", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011827934"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1432-1033.1992.tb16553.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013690041"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/oms.1210160607", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014457446"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/oms.1210160607", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014457446"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0168-1176(88)80060-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014932740"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/oms.1210260513", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015387492"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/oms.1210260513", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015387492"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bms.1200130805", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016646610"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bms.1200130805", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016646610"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1016/1044-0305(93)85008-l", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019666400", 
          "https://doi.org/10.1016/1044-0305(93)85008-l"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1016/1044-0305(93)85008-l", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019666400", 
          "https://doi.org/10.1016/1044-0305(93)85008-l"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0168-1176(87)83058-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022747940"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0003-2697(89)90736-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023606566"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/rcm.1290040905", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023708444"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/rcm.1290040905", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023708444"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bms.1200111109", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028733216"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bms.1200111109", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028733216"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bms.1200190103", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037748041"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bms.1200190103", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037748041"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0076-6879(90)93434-m", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044708945"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1042/bj1970401", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045546197"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1042/bj1970401", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045546197"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1016/1044-0305(92)87060-c", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046021496", 
          "https://doi.org/10.1016/1044-0305(92)87060-c"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1016/1044-0305(92)87060-c", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046021496", 
          "https://doi.org/10.1016/1044-0305(92)87060-c"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mas.1280060102", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049773833"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mas.1280060102", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049773833"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0076-6879(90)93433-l", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051233289"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac00142a021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054975506"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac00211a014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054980866"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac00249a028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054984682"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac00284a004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054989893"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac00298a009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054992048"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.3303336", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062606016"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1993-11", 
    "datePublishedReg": "1993-11-01", 
    "description": "High-energy collision-induced dissociation (CID) mass spectrometry provides a rapid and sensitive means for determining the primary sequence of peptides. The low-mass region (below mass 300) of a large number of tandem CID spectra of peptides has been analyzed. This mass region contains several types of informative fragment ions, including dipeptide ions, immonium ions, and other related ions. Useful low-mass ions are also present in negative-ion CID spectra. Immonium ions (general structure [H2N=CH-R](+), where R is the amino acid side chain) and related ions characteristic of specific amino acid residues give information as to the presence or absence of these residues in the peptide being analyzed. Tables of observed immonium and reiated ions for the 20 standard amino acids and for a number of modified amino acids are presented. A database consisting of 228 high-energy CID spectra of peptides has been established, and the frequency of occurrence of various ions indicative of specific ammo acid residues has been determined. Two model computer-aided schemes for analysis of the ammo-acid content of unknown peptides have been developed and tested against the database. ", 
    "genre": "research_article", 
    "id": "sg:pub.10.1016/1044-0305(93)87006-x", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1100508", 
        "issn": [
          "1044-0305", 
          "1879-1123"
        ], 
        "name": "Journal of The American Society for Mass Spectrometry", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "11", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "4"
      }
    ], 
    "name": "Low-mass ions produced from peptides by high-energy collision-induced dissociation in tandem mass spectrometry", 
    "pagination": "882-893", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "3757c9940873a95177d99fd9a76e1e8a1e4952a772a1c3ea83f981e692efd2b4"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "24227532"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9010412"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1016/1044-0305(93)87006-x"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1011615787"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1016/1044-0305(93)87006-x", 
      "https://app.dimensions.ai/details/publication/pub.1011615787"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:06", 
    "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/v90/0000000367_0000000367/records_88217_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1016%2F1044-0305%2893%2987006-X"
  }
]
 

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.10.1016/1044-0305(93)87006-x'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1016/1044-0305(93)87006-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1016/1044-0305(93)87006-x'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1016/1044-0305(93)87006-x'


 

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

178 TRIPLES      21 PREDICATES      55 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1016/1044-0305(93)87006-x schema:about anzsrc-for:06
2 anzsrc-for:0601
3 schema:author Na53b00112827412ab8b1ae469eced2fb
4 schema:citation sg:pub.10.1016/1044-0305(92)87060-c
5 sg:pub.10.1016/1044-0305(93)85008-l
6 https://doi.org/10.1002/bms.1200111109
7 https://doi.org/10.1002/bms.1200130805
8 https://doi.org/10.1002/bms.1200170106
9 https://doi.org/10.1002/bms.1200181102
10 https://doi.org/10.1002/bms.1200190103
11 https://doi.org/10.1002/mas.1280060102
12 https://doi.org/10.1002/oms.1210160607
13 https://doi.org/10.1002/oms.1210260513
14 https://doi.org/10.1002/rcm.1290040905
15 https://doi.org/10.1016/0003-2697(89)90736-7
16 https://doi.org/10.1016/0076-6879(90)93427-m
17 https://doi.org/10.1016/0076-6879(90)93433-l
18 https://doi.org/10.1016/0076-6879(90)93434-m
19 https://doi.org/10.1016/0076-6879(90)93460-3
20 https://doi.org/10.1016/0168-1176(87)83058-6
21 https://doi.org/10.1016/0168-1176(88)80060-0
22 https://doi.org/10.1021/ac00142a021
23 https://doi.org/10.1021/ac00211a014
24 https://doi.org/10.1021/ac00249a028
25 https://doi.org/10.1021/ac00284a004
26 https://doi.org/10.1021/ac00298a009
27 https://doi.org/10.1042/bj1970401
28 https://doi.org/10.1111/j.1432-1033.1992.tb16553.x
29 https://doi.org/10.1126/science.3303336
30 schema:datePublished 1993-11
31 schema:datePublishedReg 1993-11-01
32 schema:description High-energy collision-induced dissociation (CID) mass spectrometry provides a rapid and sensitive means for determining the primary sequence of peptides. The low-mass region (below mass 300) of a large number of tandem CID spectra of peptides has been analyzed. This mass region contains several types of informative fragment ions, including dipeptide ions, immonium ions, and other related ions. Useful low-mass ions are also present in negative-ion CID spectra. Immonium ions (general structure [H2N=CH-R](+), where R is the amino acid side chain) and related ions characteristic of specific amino acid residues give information as to the presence or absence of these residues in the peptide being analyzed. Tables of observed immonium and reiated ions for the 20 standard amino acids and for a number of modified amino acids are presented. A database consisting of 228 high-energy CID spectra of peptides has been established, and the frequency of occurrence of various ions indicative of specific ammo acid residues has been determined. Two model computer-aided schemes for analysis of the ammo-acid content of unknown peptides have been developed and tested against the database.
33 schema:genre research_article
34 schema:inLanguage en
35 schema:isAccessibleForFree true
36 schema:isPartOf N53357da5eba64bf983147d9eb90da55a
37 Nb219fb780c32435dbf176321469c377f
38 sg:journal.1100508
39 schema:name Low-mass ions produced from peptides by high-energy collision-induced dissociation in tandem mass spectrometry
40 schema:pagination 882-893
41 schema:productId N6ff53cc0c3574613bbb9cf5a9757a7e2
42 N8d8e880516d544819b9a50eb4f4f77ba
43 N9b34228441ee4ec7af922663635a6458
44 Nea982c695eba49dab1e54186676e2963
45 Nf37b05fc64644afeb4d3d583c0523b3e
46 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011615787
47 https://doi.org/10.1016/1044-0305(93)87006-x
48 schema:sdDatePublished 2019-04-11T13:06
49 schema:sdLicense https://scigraph.springernature.com/explorer/license/
50 schema:sdPublisher N1dbe50881f4b48b688bc0fd939dcee0f
51 schema:url https://link.springer.com/10.1016%2F1044-0305%2893%2987006-X
52 sgo:license sg:explorer/license/
53 sgo:sdDataset articles
54 rdf:type schema:ScholarlyArticle
55 N01f3ce522c4944a8be68608b8ab77a69 rdf:first sg:person.014403467677.57
56 rdf:rest rdf:nil
57 N1dbe50881f4b48b688bc0fd939dcee0f schema:name Springer Nature - SN SciGraph project
58 rdf:type schema:Organization
59 N28fc74b7a73a431899a5dc6781454932 rdf:first sg:person.0653147250.26
60 rdf:rest N01f3ce522c4944a8be68608b8ab77a69
61 N2f574b33ceb74602a4a5e5ba1173d05e rdf:first sg:person.016573064477.47
62 rdf:rest N28fc74b7a73a431899a5dc6781454932
63 N3dc8fd999d2b40fab0a441f002f48394 rdf:first sg:person.01225403417.68
64 rdf:rest N2f574b33ceb74602a4a5e5ba1173d05e
65 N53357da5eba64bf983147d9eb90da55a schema:issueNumber 11
66 rdf:type schema:PublicationIssue
67 N6ff53cc0c3574613bbb9cf5a9757a7e2 schema:name pubmed_id
68 schema:value 24227532
69 rdf:type schema:PropertyValue
70 N8d8e880516d544819b9a50eb4f4f77ba schema:name dimensions_id
71 schema:value pub.1011615787
72 rdf:type schema:PropertyValue
73 N9b34228441ee4ec7af922663635a6458 schema:name nlm_unique_id
74 schema:value 9010412
75 rdf:type schema:PropertyValue
76 Na53b00112827412ab8b1ae469eced2fb rdf:first sg:person.0703636727.90
77 rdf:rest N3dc8fd999d2b40fab0a441f002f48394
78 Nb219fb780c32435dbf176321469c377f schema:volumeNumber 4
79 rdf:type schema:PublicationVolume
80 Nea982c695eba49dab1e54186676e2963 schema:name doi
81 schema:value 10.1016/1044-0305(93)87006-x
82 rdf:type schema:PropertyValue
83 Nf37b05fc64644afeb4d3d583c0523b3e schema:name readcube_id
84 schema:value 3757c9940873a95177d99fd9a76e1e8a1e4952a772a1c3ea83f981e692efd2b4
85 rdf:type schema:PropertyValue
86 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
87 schema:name Biological Sciences
88 rdf:type schema:DefinedTerm
89 anzsrc-for:0601 schema:inDefinedTermSet anzsrc-for:
90 schema:name Biochemistry and Cell Biology
91 rdf:type schema:DefinedTerm
92 sg:journal.1100508 schema:issn 1044-0305
93 1879-1123
94 schema:name Journal of The American Society for Mass Spectrometry
95 rdf:type schema:Periodical
96 sg:person.01225403417.68 schema:affiliation https://www.grid.ac/institutes/grid.266102.1
97 schema:familyName Hines
98 schema:givenName W. M.
99 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01225403417.68
100 rdf:type schema:Person
101 sg:person.014403467677.57 schema:affiliation https://www.grid.ac/institutes/grid.266102.1
102 schema:familyName Gibson
103 schema:givenName B. W.
104 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014403467677.57
105 rdf:type schema:Person
106 sg:person.016573064477.47 schema:affiliation https://www.grid.ac/institutes/grid.266102.1
107 schema:familyName Medzihradszky
108 schema:givenName K. F.
109 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016573064477.47
110 rdf:type schema:Person
111 sg:person.0653147250.26 schema:affiliation https://www.grid.ac/institutes/grid.266102.1
112 schema:familyName Baldwin
113 schema:givenName M. A.
114 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0653147250.26
115 rdf:type schema:Person
116 sg:person.0703636727.90 schema:affiliation https://www.grid.ac/institutes/grid.266102.1
117 schema:familyName Falick
118 schema:givenName A. M.
119 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0703636727.90
120 rdf:type schema:Person
121 sg:pub.10.1016/1044-0305(92)87060-c schema:sameAs https://app.dimensions.ai/details/publication/pub.1046021496
122 https://doi.org/10.1016/1044-0305(92)87060-c
123 rdf:type schema:CreativeWork
124 sg:pub.10.1016/1044-0305(93)85008-l schema:sameAs https://app.dimensions.ai/details/publication/pub.1019666400
125 https://doi.org/10.1016/1044-0305(93)85008-l
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1002/bms.1200111109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028733216
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1002/bms.1200130805 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016646610
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1002/bms.1200170106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006746663
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1002/bms.1200181102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005689598
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1002/bms.1200190103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037748041
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1002/mas.1280060102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049773833
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1002/oms.1210160607 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014457446
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1002/oms.1210260513 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015387492
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1002/rcm.1290040905 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023708444
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1016/0003-2697(89)90736-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023606566
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1016/0076-6879(90)93427-m schema:sameAs https://app.dimensions.ai/details/publication/pub.1011827934
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1016/0076-6879(90)93433-l schema:sameAs https://app.dimensions.ai/details/publication/pub.1051233289
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1016/0076-6879(90)93434-m schema:sameAs https://app.dimensions.ai/details/publication/pub.1044708945
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1016/0076-6879(90)93460-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002794160
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1016/0168-1176(87)83058-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022747940
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1016/0168-1176(88)80060-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014932740
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1021/ac00142a021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054975506
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1021/ac00211a014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054980866
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1021/ac00249a028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054984682
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1021/ac00284a004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054989893
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1021/ac00298a009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054992048
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1042/bj1970401 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045546197
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1111/j.1432-1033.1992.tb16553.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1013690041
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1126/science.3303336 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062606016
174 rdf:type schema:CreativeWork
175 https://www.grid.ac/institutes/grid.266102.1 schema:alternateName University of California, San Francisco
176 schema:name Department of Neurology, University of California, 91143-0446, San Francisco, California
177 Mass Spectrometry Facility, Department of Pharmaceutical Chemistry, University of California, 91143-0446, San Francisco, California
178 rdf:type schema:Organization
 




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


...