Fast-HMQC using Ernst angle pulses: An efficient tool for screening of ligand binding to target proteins View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1997-12

AUTHORS

Alfred Ross, Michael Salzmann, Hans Senn

ABSTRACT

The application of Ernst angle pulses in multidimensional NMR spectroscopy is theoretically and experimentally investigated. Theory shows that only for a few pulse sequences employed at high repetition rate, a remarkable gain in sensitivity is possible using Ernst angle pulses. As an example, a new variant of the heteronuclear multiple quantum coherence (HMQC) experiment, the fast-((1)H,(15)N)-HMQC, is described. This sequence allows, with a 1 mM protein sample in H(2)O, the acquisition of a highly resolved two-dimensional ((1)H,(15)N) correlated spectrum within 37 s. The high efficiency of the fast-HMQC to detect ligand binding to a target protein is demonstrated. More... »

PAGES

389-396

Identifiers

URI

http://scigraph.springernature.com/pub.10.1023/a:1018361214472

DOI

http://dx.doi.org/10.1023/a:1018361214472

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1011806155

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/20859783


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": "Roche (Switzerland)", 
          "id": "https://www.grid.ac/institutes/grid.417570.0", 
          "name": [
            "F. Hoffmann-La Roche AG Pharma Research (PRPI-S), 65/512, CH-4070, Basel, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ross", 
        "givenName": "Alfred", 
        "id": "sg:person.01127571303.67", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01127571303.67"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Roche (Switzerland)", 
          "id": "https://www.grid.ac/institutes/grid.417570.0", 
          "name": [
            "F. Hoffmann-La Roche AG Pharma Research (PRPI-S), 65/512, CH-4070, Basel, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Salzmann", 
        "givenName": "Michael", 
        "id": "sg:person.01216735030.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01216735030.10"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Roche (Switzerland)", 
          "id": "https://www.grid.ac/institutes/grid.417570.0", 
          "name": [
            "F. Hoffmann-La Roche AG Pharma Research (PRPI-S), 65/512, CH-4070, Basel, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Senn", 
        "givenName": "Hans", 
        "id": "sg:person.01175704503.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01175704503.33"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/bf00178263", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001261698", 
          "https://doi.org/10.1007/bf00178263"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00182275", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014377779", 
          "https://doi.org/10.1007/bf00182275"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cmr.1820040204", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016800270"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0006-291x(83)91093-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028880084"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/abio.1996.0064", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030293793"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0079-6565(87)80008-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031492753"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0066-4103(08)60254-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040593169"
        ], 
        "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.10.1007/bf00398406", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042786902", 
          "https://doi.org/10.1007/bf00398406"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00398406", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042786902", 
          "https://doi.org/10.1007/bf00398406"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02192855", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051735569", 
          "https://doi.org/10.1007/bf02192855"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02192855", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051735569", 
          "https://doi.org/10.1007/bf02192855"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/bi00118a039", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055161563"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja00052a088", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055702513"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja00079a052", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055705067"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja00315a069", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055722757"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja00497a058", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055737317"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja00510a007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055738218"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.1676626", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057752789"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.431994", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058010026"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.432450", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058010482"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.438208", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058016237"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.274.5292.1531", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062555032"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1997-12", 
    "datePublishedReg": "1997-12-01", 
    "description": "The application of Ernst angle pulses in multidimensional NMR spectroscopy is theoretically and experimentally investigated. Theory shows that only for a few pulse sequences employed at high repetition rate, a remarkable gain in sensitivity is possible using Ernst angle pulses. As an example, a new variant of the heteronuclear multiple quantum coherence (HMQC) experiment, the fast-((1)H,(15)N)-HMQC, is described. This sequence allows, with a 1 mM protein sample in H(2)O, the acquisition of a highly resolved two-dimensional ((1)H,(15)N) correlated spectrum within 37 s. The high efficiency of the fast-HMQC to detect ligand binding to a target protein is demonstrated.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1023/a:1018361214472", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1101518", 
        "issn": [
          "0925-2738", 
          "1573-5001"
        ], 
        "name": "Journal of Biomolecular NMR", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "10"
      }
    ], 
    "name": "Fast-HMQC using Ernst angle pulses: An efficient tool for screening of ligand binding to target proteins", 
    "pagination": "389-396", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "3840447cdd9469956cab9b6a26fcf9243eeb984f25f92649cf620e4bf10a33c9"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "20859783"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9110829"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1023/a:1018361214472"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1011806155"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1023/a:1018361214472", 
      "https://app.dimensions.ai/details/publication/pub.1011806155"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T17:29", 
    "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_8672_00000504.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1023/A:1018361214472"
  }
]
 

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.10.1023/a:1018361214472'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1023/a:1018361214472'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1023/a:1018361214472'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1023/a:1018361214472'


 

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

150 TRIPLES      21 PREDICATES      50 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1023/a:1018361214472 schema:about anzsrc-for:06
2 anzsrc-for:0601
3 schema:author N92a8ae3eb20f49eea85e369bfaeeeda8
4 schema:citation sg:pub.10.1007/bf00178263
5 sg:pub.10.1007/bf00182275
6 sg:pub.10.1007/bf00398406
7 sg:pub.10.1007/bf02192855
8 https://doi.org/10.1002/cmr.1820040204
9 https://doi.org/10.1006/abio.1996.0064
10 https://doi.org/10.1016/0006-291x(83)91093-8
11 https://doi.org/10.1016/0009-2614(80)80041-8
12 https://doi.org/10.1016/0079-6565(87)80008-0
13 https://doi.org/10.1016/s0066-4103(08)60254-9
14 https://doi.org/10.1021/bi00118a039
15 https://doi.org/10.1021/ja00052a088
16 https://doi.org/10.1021/ja00079a052
17 https://doi.org/10.1021/ja00315a069
18 https://doi.org/10.1021/ja00497a058
19 https://doi.org/10.1021/ja00510a007
20 https://doi.org/10.1063/1.1676626
21 https://doi.org/10.1063/1.431994
22 https://doi.org/10.1063/1.432450
23 https://doi.org/10.1063/1.438208
24 https://doi.org/10.1126/science.274.5292.1531
25 schema:datePublished 1997-12
26 schema:datePublishedReg 1997-12-01
27 schema:description The application of Ernst angle pulses in multidimensional NMR spectroscopy is theoretically and experimentally investigated. Theory shows that only for a few pulse sequences employed at high repetition rate, a remarkable gain in sensitivity is possible using Ernst angle pulses. As an example, a new variant of the heteronuclear multiple quantum coherence (HMQC) experiment, the fast-((1)H,(15)N)-HMQC, is described. This sequence allows, with a 1 mM protein sample in H(2)O, the acquisition of a highly resolved two-dimensional ((1)H,(15)N) correlated spectrum within 37 s. The high efficiency of the fast-HMQC to detect ligand binding to a target protein is demonstrated.
28 schema:genre research_article
29 schema:inLanguage en
30 schema:isAccessibleForFree false
31 schema:isPartOf Na9979a51702d41ecb060b1ba0e67507a
32 Nd834d3a4fc5f42b28e848346dc5f0087
33 sg:journal.1101518
34 schema:name Fast-HMQC using Ernst angle pulses: An efficient tool for screening of ligand binding to target proteins
35 schema:pagination 389-396
36 schema:productId N1773c379415c4472bf39a31883d722e8
37 N2e852c235bbe48d58311fcbf10ee5dca
38 N3845b72e74ca4229a5aa4d9426456e75
39 N6441bf3bda564e1a94fa9dbd060cc490
40 N811c025f791f4e768c03c30b77baeb58
41 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011806155
42 https://doi.org/10.1023/a:1018361214472
43 schema:sdDatePublished 2019-04-10T17:29
44 schema:sdLicense https://scigraph.springernature.com/explorer/license/
45 schema:sdPublisher Nab18a7f210a5439a9ccdb7b502e279eb
46 schema:url http://link.springer.com/10.1023/A:1018361214472
47 sgo:license sg:explorer/license/
48 sgo:sdDataset articles
49 rdf:type schema:ScholarlyArticle
50 N1773c379415c4472bf39a31883d722e8 schema:name dimensions_id
51 schema:value pub.1011806155
52 rdf:type schema:PropertyValue
53 N2e852c235bbe48d58311fcbf10ee5dca schema:name readcube_id
54 schema:value 3840447cdd9469956cab9b6a26fcf9243eeb984f25f92649cf620e4bf10a33c9
55 rdf:type schema:PropertyValue
56 N3845b72e74ca4229a5aa4d9426456e75 schema:name doi
57 schema:value 10.1023/a:1018361214472
58 rdf:type schema:PropertyValue
59 N6441bf3bda564e1a94fa9dbd060cc490 schema:name nlm_unique_id
60 schema:value 9110829
61 rdf:type schema:PropertyValue
62 N811c025f791f4e768c03c30b77baeb58 schema:name pubmed_id
63 schema:value 20859783
64 rdf:type schema:PropertyValue
65 N92a8ae3eb20f49eea85e369bfaeeeda8 rdf:first sg:person.01127571303.67
66 rdf:rest Nd3a96f66368641528ca6213a8d2e9d58
67 Na758cfa37bc045a3b4096ff2d03d300d rdf:first sg:person.01175704503.33
68 rdf:rest rdf:nil
69 Na9979a51702d41ecb060b1ba0e67507a schema:issueNumber 4
70 rdf:type schema:PublicationIssue
71 Nab18a7f210a5439a9ccdb7b502e279eb schema:name Springer Nature - SN SciGraph project
72 rdf:type schema:Organization
73 Nd3a96f66368641528ca6213a8d2e9d58 rdf:first sg:person.01216735030.10
74 rdf:rest Na758cfa37bc045a3b4096ff2d03d300d
75 Nd834d3a4fc5f42b28e848346dc5f0087 schema:volumeNumber 10
76 rdf:type schema:PublicationVolume
77 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
78 schema:name Biological Sciences
79 rdf:type schema:DefinedTerm
80 anzsrc-for:0601 schema:inDefinedTermSet anzsrc-for:
81 schema:name Biochemistry and Cell Biology
82 rdf:type schema:DefinedTerm
83 sg:journal.1101518 schema:issn 0925-2738
84 1573-5001
85 schema:name Journal of Biomolecular NMR
86 rdf:type schema:Periodical
87 sg:person.01127571303.67 schema:affiliation https://www.grid.ac/institutes/grid.417570.0
88 schema:familyName Ross
89 schema:givenName Alfred
90 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01127571303.67
91 rdf:type schema:Person
92 sg:person.01175704503.33 schema:affiliation https://www.grid.ac/institutes/grid.417570.0
93 schema:familyName Senn
94 schema:givenName Hans
95 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01175704503.33
96 rdf:type schema:Person
97 sg:person.01216735030.10 schema:affiliation https://www.grid.ac/institutes/grid.417570.0
98 schema:familyName Salzmann
99 schema:givenName Michael
100 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01216735030.10
101 rdf:type schema:Person
102 sg:pub.10.1007/bf00178263 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001261698
103 https://doi.org/10.1007/bf00178263
104 rdf:type schema:CreativeWork
105 sg:pub.10.1007/bf00182275 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014377779
106 https://doi.org/10.1007/bf00182275
107 rdf:type schema:CreativeWork
108 sg:pub.10.1007/bf00398406 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042786902
109 https://doi.org/10.1007/bf00398406
110 rdf:type schema:CreativeWork
111 sg:pub.10.1007/bf02192855 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051735569
112 https://doi.org/10.1007/bf02192855
113 rdf:type schema:CreativeWork
114 https://doi.org/10.1002/cmr.1820040204 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016800270
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1006/abio.1996.0064 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030293793
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1016/0006-291x(83)91093-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028880084
119 rdf:type schema:CreativeWork
120 https://doi.org/10.1016/0009-2614(80)80041-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040738091
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1016/0079-6565(87)80008-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031492753
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1016/s0066-4103(08)60254-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040593169
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1021/bi00118a039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055161563
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1021/ja00052a088 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055702513
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1021/ja00079a052 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055705067
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1021/ja00315a069 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055722757
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1021/ja00497a058 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055737317
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1021/ja00510a007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055738218
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1063/1.1676626 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057752789
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1063/1.431994 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058010026
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1063/1.432450 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058010482
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1063/1.438208 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058016237
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1126/science.274.5292.1531 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062555032
147 rdf:type schema:CreativeWork
148 https://www.grid.ac/institutes/grid.417570.0 schema:alternateName Roche (Switzerland)
149 schema:name F. Hoffmann-La Roche AG Pharma Research (PRPI-S), 65/512, CH-4070, Basel, Switzerland
150 rdf:type schema:Organization
 




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


...