scholarly journals Automated protein structure modeling in CASP9 by I-TASSER pipeline combined with QUARK-based ab initio folding and FG-MD-based structure refinement

2011 ◽  
Vol 79 (S10) ◽  
pp. 147-160 ◽  
Author(s):  
Dong Xu ◽  
Jian Zhang ◽  
Ambrish Roy ◽  
Yang Zhang
2017 ◽  
Author(s):  
Badri Adhikari ◽  
Jianlin Cheng

AbstractBackgroundContact-guided protein structure prediction methods are becoming more and more successful because of the latest advances in residue-residue contact prediction. To support the contact-driven structure prediction, effective tools that can quickly build tertiary structural models of good quality from predicted contacts need to be developed.ResultsWe develop an improved contact-driven protein modeling method, CONFOLD2, and study how it may be effectively used for ab initio protein structure prediction with predicted contacts as input. It builds models using various subsets of input contacts to explore the fold space under the guidance of a soft square energy function, and then clusters the models to obtain top five models. CONFOLD2 is benchmarked on various datasets including CASP11 and 12 datasets with publicly available predicted contacts and yields better performance than the popular CONFOLD method.ConclusionCONFOLD2 allows to quickly generate top five structural models for a protein sequence, when its secondary structures and contacts predictions at hand. CONFOLD2 is publicly available at https://github.com/multicom-toolbox/CONFOLD2/.


2007 ◽  
Vol 23 (19) ◽  
pp. 2558-2565 ◽  
Author(s):  
N. Fernandez-Fuentes ◽  
B. K. Rai ◽  
C. J. Madrid-Aliste ◽  
J. Eduardo Fajardo ◽  
A. Fiser

2010 ◽  
Vol 38 (Web Server) ◽  
pp. W569-W575 ◽  
Author(s):  
F. Lauck ◽  
C. A. Smith ◽  
G. F. Friedland ◽  
E. L. Humphris ◽  
T. Kortemme

2005 ◽  
Vol 33 (Web Server) ◽  
pp. W111-W115 ◽  
Author(s):  
A. Zemla ◽  
C. E. Zhou ◽  
T. Slezak ◽  
T. Kuczmarski ◽  
D. Rama ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document