Cover Image, Volume 37, Issue 12

Abstract

Journal of Computational ChemistryVolume 37, Issue 12 p. i-i Cover ImageFree Access Cover Image, Volume 37, Issue 12 First published: 08 April 2016 https://doi.org/10.1002/jcc.24366AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Graphical Abstract The cover picture highlights the use of cost function networks (CFN) in computational protein design (CPD). These methods provide important speedups to explore large sequence-conformation spaces and provably identify the sequence with the conformation of optimal stability, i.e., the global minimum energy conformation (GMEC). On page 1048 (DOI: 10.1002/jcc.24290), Seydou Traoré et al. show that, in addition to quickly finding the GMEC in highly complex protein design problems, CFN-based methods also enable the efficient enumeration of sub-optimal sequences. These approaches offer an attractive alternative to the usual CPD methods. Volume37, Issue12May 5, 2016Pages i-i RelatedInformation