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Bioinformatics (Oxford, England)|June 18, 2005
Three-stage prediction of protein beta-sheets by neural networks, alignments and graph algorithmsJianlin Cheng, Pierre BaldiBioinformatics (Oxford, England)|March 21, 2006
A machine learning information retrieval approach to protein fold recognitionJianlin Cheng, Pierre BaldiBMC Bioinformatics|April 5, 2007
Improved residue contact prediction using support vector machines and a large feature setJianlin Cheng, Pierre BaldiProteins|December 2, 2005
Large-scale prediction of disulphide bridges using kernel methods, two-dimensional recursive neural networks, and weighted graph matchingJianlin Cheng, Hiroto Saigo, Pierre BaldiProteins|December 24, 2005
Prediction of protein stability changes for single-site mutations using support vector machinesJianlin Cheng, Arlo Randall, Pierre BaldiIEEE Reviews in Biomedical Engineering|January 26, 2012
Machine learning methods for protein structure predictionJianlin Cheng, Allison N Tegge, Pierre BaldiBioinformatics (Oxford, England)|November 17, 2007
TMBpro: secondary structure, beta-contact and tertiary structure prediction of transmembrane beta-barrel proteinsArlo Randall, Jianlin Cheng, Michael Sweredoski, et al.Journal of Chemical Information and Modeling|November 10, 2021
Call for a Public Open Database of All Chemical ReactionsPierre BaldiJournal of Chemical Information and Modeling|November 24, 2011
Data-driven high-throughput prediction of the 3-D structure of small molecules: review and progress. A response to the letter by the Cambridge Crystallographic Data CentrePierre BaldiNucleic Acids Research|June 8, 2007
DOMAC: an accurate, hybrid protein domain prediction serverJianlin ChengPageof 54