Increasing the accuracy of protein loop structure prediction with evolutionary constraints.

作者: Claire Marks , Charlotte M Deane

DOI: 10.1093/BIOINFORMATICS/BTY996

关键词:

摘要: MOTIVATION Accurate prediction of loop structures remains challenging. This is especially true for long loops where the large conformational space and limited coverage experimentally determined often leads to low accuracy. Co-evolutionary contact predictors, which provide information about proximity pairs residues, have been used improve whole-protein models generated through de novo techniques. Here we investigate whether these evolutionary constraints can enhance structures. RESULTS As a first stage, assess accuracy predicted contacts that involve regions. We find are less accurate than in general. also observe some incorrectly be identified as they never satisfied any our conformations. examined two different strategies incorporating contacts, on test set (10 residues or more), both approaches prediction. For 135 loops, were hence methods applicable 97 cases. Both result an increase proportion near-native decoys ensemble, leading more predictions cases improving root-mean-square deviation final model by 3 A. SUPPLEMENTARY INFORMATION Supplementary data available at Bioinformatics online.

参考文章(45)
David E. Kim, Frank DiMaio, Ray Yu-Ruei Wang, Yifan Song, David Baker, One contact for every twelve residues allows robust and accurate topology‐level protein structure modeling Proteins. ,vol. 82, pp. 208- 218 ,(2014) , 10.1002/PROT.24374
Anna R Panchenko, Thomas Madej, Structural similarity of loops in protein families: toward the understanding of protein evolution BMC Evolutionary Biology. ,vol. 5, pp. 10- 10 ,(2005) , 10.1186/1471-2148-5-10
Narcis Fernandez-Fuentes, András Fiser, Saturating representation of loop conformational fragments in structure databanks BMC Structural Biology. ,vol. 6, pp. 15- 15 ,(2006) , 10.1186/1472-6807-6-15
Sergey Ovchinnikov, Lisa Kinch, Hahnbeom Park, Yuxing Liao, Jimin Pei, David E Kim, Hetunandan Kamisetty, Nick V Grishin, David Baker, Large-scale determination of previously unsolved protein structures using evolutionary information eLife. ,vol. 4, ,(2015) , 10.7554/ELIFE.09248
András Fiser, Richard Kinh Gian Do, Andrej Šali, Modeling of loops in protein structures. Protein Science. ,vol. 9, pp. 1753- 1773 ,(2000) , 10.1110/PS.9.9.1753
Laurence Lins, Annick Thomas, Robert Brasseur, Analysis of accessible surface of residues in proteins Protein Science. ,vol. 12, pp. 1406- 1417 ,(2003) , 10.1110/PS.0304803
Debora S Marks, Thomas A Hopf, Chris Sander, Protein structure prediction from sequence variation Nature Biotechnology. ,vol. 30, pp. 1072- 1080 ,(2012) , 10.1038/NBT.2419
Charlotte M Deane, Tom L Blundell, CODA: A combined algorithm for predicting the structurally variable regions of protein models Protein Science. ,vol. 10, pp. 599- 612 ,(2001) , 10.1110/PS.37601
Hetunandan Kamisetty, Sergey Ovchinnikov, David Baker, Assessing the utility of coevolution-based residue-residue contact predictions in a sequence- and structure-rich era. Proceedings of the National Academy of Sciences of the United States of America. ,vol. 110, pp. 15674- 15679 ,(2013) , 10.1073/PNAS.1314045110