Predicting accurate contacts in thousands of Pfam domain families using PconsC3-Reference-Cited by-同舟云学术

Predicting accurate contacts in thousands of Pfam domain families using PconsC3

Published:2017-05-23 Issue:18 Volume:33 Page:2859-2866
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Michel Mirco¹,Skwark Marcin J²,Menéndez Hurtado David¹,Ekeberg Magnus³,Elofsson Arne¹

Affiliation:

1. Science for Life Laboratory and Department of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden

2. Department of Chemistry, Vanderbilt University, Nashville, TN, USA

3. School of Computer Science and Communication, Royal Institute of Technology, Stockholm, Sweden

Funder

Swedish Research Council

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/33/18/2859/25164266/btx332.pdf

Reference37 articles.

1. Confold: Residue-residue contact-guided ab initio protein folding;Adhikari;Proteins Struct. Funct. Bioinf,2015

2. The maximum entropy fallacy redux?;Aurell;PLoS Comput. Biol,2016

3. Fast and accurate multivariate Gaussian modeling of protein families: predicting residue contacts and protein-interaction partners;Baldassi;PLoS One,2014

4. The Protein Data Bank;Berman;Nucleic Acids Res,2000

5. Disentangling direct from indirect co-evolution of residues in protein alignments;Burger;PLoS Comput. Biol,2010

Cited by 39 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ETLD: an encoder-transformation layer-decoder architecture for protein contact and mutation effects prediction;Briefings in Bioinformatics;2023-08-20

2. Statistical genetics in and out of quasi-linkage equilibrium;Reports on Progress in Physics;2023-04-04

3. Improving Inter-Helix Contact Prediction With Local 2D Topological Information;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2023

4. Boosting the Full Potential of PyMOL with Structural Biology Plugins;Biomolecules;2022-11-27

5. Limits to detecting epistasis in the fitness landscape of HIV;PLOS ONE;2022-01-18