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Bioinformatics (Oxford, England)|June 25, 2009
SOLpro: accurate sequence-based prediction of protein solubilityChristophe N Magnan, Arlo Randall, Pierre BaldiBMC Structural Biology|December 6, 2008
SELECTpro: effective protein model selection using a structure-based energy function resistant to BLUNDERsArlo Randall, Pierre BaldiBioinformatics (Oxford, England)|October 12, 2010
High-throughput prediction of protein antigenicity using protein microarray dataChristophe N Magnan, Michael Zeller, Matthew A Kayala, et al.Bioinformatics (Oxford, England)|May 27, 2014
SSpro/ACCpro 5: almost perfect prediction of protein secondary structure and relative solvent accessibility using profiles, machine learning and structural similarityChristophe N Magnan, 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 BaldiProteins|December 24, 2005
Prediction of protein stability changes for single-site mutations using support vector machinesJianlin Cheng, Arlo Randall, Pierre BaldiBioinformatics (Oxford, England)|February 2, 2022
SSpro/ACCpro 6: almost perfect prediction of protein secondary structure and relative solvent accessibility using profiles, deep learning and structural similarityGregor Urban, Christophe N Magnan, 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|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 28