Forecasting residue–residue contact prediction accuracy-Reference-Cited by-同舟云学术

Forecasting residue–residue contact prediction accuracy

Published:2017-06-26 Issue:21 Volume:33 Page:3405-3414
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Wozniak P P¹,Konopka B M¹,Xu J²,Vriend G³,Kotulska M¹

Affiliation:

1. Department of Biomedical Engineering, Faculty of Fundamental Problems of Technology, Wrocław University of Science and Technology, Wrocław, Poland

2. Toyota Technological Institute at Chicago, Chicago, IL, USA

3. Centre for Molecular and Biomolecular Informatics, Radboud University Medical Centre, GA, Nijmegen, The Netherlands

Funder

Polish National Science Centre

National Institutes of Health

National Science Foundation

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/33/21/3405/25166155/btx416.pdf

Reference68 articles.

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2. Using multi-data hidden Markov models trained on local neighbourhoods of protein structure to predict residue–residue contacts;Bjorkholm;Bioinformatics,2009

3. Protein structures from distance inequalities;Bohr;J. Mol. Biol,1993

4. HMMSTR: a hidden Markov model for local sequence-structure correlations in proteins;Bystroff;J. Mol. Biol,2000

5. Prediction of solvent accessibility and sites of deleterious mutations from protein sequence;Chen;Nucleic Acids Res,2005

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4. Bio-knowledge-based filters improve residue–residue contact prediction accuracy;Bioinformatics;2018-05-29