A study and benchmark of DNcon: a method for protein residue-residue contact prediction using deep networks. (Q30355914)

8 November 2017

A study and benchmark of DNcon: a method for protein residue-residue contact prediction using deep networks. (English)

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8 November 2017

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1

Jesse Eickholt

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8 November 2017

Jianlin Cheng

2

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8 November 2017

9 October 2013

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8 November 2017

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8 November 2017

14 Suppl 14

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8 November 2017

S12

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Creative Commons Attribution 2.0 Generic

8 November 2017

start time

1 October 2013

1 reference

April 2022 Public Data File from Crossref

copyright status

copyrighted

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cites work

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Crossref

https://api.crossref.org/works/10.1186%2F1471-2105-14-S14-S12

Protein contact prediction using patterns of correlation

21 January 2018

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Prediction of distant residue contacts with the use of evolutionary information.

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PubMed

https://pubmed.ncbi.nlm.nih.gov/24267585

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Identifiers

DOI

10.1186/1471-2105-14-S14-S12

1 reference

journals/bmcbi/EickholtC13a

8 November 2017

1 reference

DBLP Dataset 2021-01-02

Dimensions Publication ID

28 January 2021

0 references

1 reference

PMC publication ID

3850995

8 November 2017

PubMed publication ID

24267585

1 reference

PMC publication ID

3850995