ProFunc: a server for predicting protein function from 3D structure (Q24812633)

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Language	Label	Description	Also known as
English	ProFunc: a server for predicting protein function from 3D structure	scientific article

Statements

instance of

scholarly article

1 reference

stated in

Europe PubMed Central

PubMed publication ID

15980588

retrieved

3 July 2017

title

ProFunc: a server for predicting protein function from 3D structure (English)

1 reference

stated in

Europe PubMed Central

PubMed publication ID

15980588

retrieved

3 July 2017

main subject

protein function prediction

0 references

protein structure

0 references

author

Janet Thornton

series ordinal

3

1 reference

stated in

Europe PubMed Central

PubMed publication ID

15980588

retrieved

3 July 2017

Roman A. Laskowski

series ordinal

1

1 reference

stated in

Europe PubMed Central

PubMed publication ID

15980588

retrieved

3 July 2017

author name string

James D Watson

series ordinal

2

1 reference

stated in

Europe PubMed Central

PubMed publication ID

15980588

retrieved

3 July 2017

language of work or name

English

0 references

publication date

1 July 2005

1 reference

stated in

Europe PubMed Central

PubMed publication ID

15980588

retrieved

3 July 2017

published in

Nucleic Acids Research

1 reference

stated in

Europe PubMed Central

PubMed publication ID

15980588

retrieved

3 July 2017

volume

33

1 reference

stated in

Europe PubMed Central

PubMed publication ID

15980588

retrieved

3 July 2017

issue

Web Server issue

1 reference

stated in

Europe PubMed Central

PubMed publication ID

15980588

retrieved

3 July 2017

page(s)

W89-93

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stated in

Europe PubMed Central

PubMed publication ID

15980588

retrieved

3 July 2017

cites work

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7 April 2017

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7 April 2017

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7 April 2017

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28 September 2017

A novel main-chain anion-binding site in proteins: the nest. A particular combination of phi,psi values in successive residues gives rise to anion-binding sites that occur commonly and are found often at functionally important regions

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TESS: a geometric hashing algorithm for deriving 3D coordinate templates for searching structural databases. Application to enzyme active sites

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From protein structure to biochemical function?

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Structural clusters of evolutionary trace residues are statistically significant and common in proteins

1 reference

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PubMed

reference URL

https://pubmed.ncbi.nlm.nih.gov/15980588

retrieved

12 December 2020

based on heuristic

inferred from PubMed ID database lookup

Identifiers

DOI

10.1093/NAR/GKI414

1 reference

stated in

Europe PubMed Central

PubMed publication ID

15980588

retrieved

3 July 2017

DBLP publication ID

journals/nar/LaskowskiWT05

1 reference

stated in

DBLP Dataset 2021-01-02

retrieved

28 January 2021

OpenCitations bibliographic resource ID

889178

1 reference

stated in

Consolidated OpenCitations Corpus – April 2017

OpenCitations bibliographic resource ID

889178

PMC publication ID

1160175

1 reference

stated in

Consolidated OpenCitations Corpus – April 2017

OpenCitations bibliographic resource ID

889178

PubMed publication ID

15980588

1 reference

stated in

Europe PubMed Central

PubMed publication ID

15980588

retrieved

3 July 2017

ResearchGate publication ID

7762458

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