Comparing co-evolution methods and their application to template-free protein structure prediction
Author(s) -
Saulo Henrique Pires de Oliveira,
Jiye Shi,
Charlotte M. Deane
Publication year - 2016
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btw618
Subject(s) - computer science , decoy , set (abstract data type) , range (aeronautics) , data mining , data set , correlation , quality (philosophy) , statistics , artificial intelligence , pattern recognition (psychology) , mathematics , biology , biochemistry , materials science , receptor , geometry , composite material , programming language , philosophy , epistemology
Co-evolution methods have been used as contact predictors to identify pairs of residues that share spatial proximity. Such contact predictors have been compared in terms of the precision of their predictions, but there is no study that compares their usefulness to model generation.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom