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Proteins|December 24, 2005
Prediction of protein stability changes for single-site mutations using support vector machinesJianlin Cheng, Arlo Randall, 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.BMC Structural Biology|December 6, 2008
SELECTpro: effective protein model selection using a structure-based energy function resistant to BLUNDERsArlo Randall, Pierre BaldiBioinformatics (Oxford, England)|February 28, 2014
Incorporating post-translational modifications and unnatural amino acids into high-throughput modeling of protein structuresKen Nagata, Arlo Randall, Pierre BaldiProteins|November 11, 2011
SIDEpro: a novel machine learning approach for the fast and accurate prediction of side-chain conformationsKen Nagata, Arlo Randall, Pierre BaldiBioinformatics (Oxford, England)|June 25, 2009
SOLpro: accurate sequence-based prediction of protein solubilityChristophe N Magnan, Arlo Randall, Pierre BaldiBioinformatics (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 BaldiJournal of Chemical Information and Modeling|March 23, 2011
Data-driven high-throughput prediction of the 3-D structure of small molecules: review and progressAlessio Andronico, Arlo Randall, Ryan W Benz, et al.Pageof 56