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IEEE/ACM Transactions on Computational Biology and Bioinformatics|April 4, 2017
Improving Recognition of Antimicrobial Peptides and Target Selectivity through Machine Learning and Genetic ProgrammingDaniel Veltri, Uday Kamath, Amarda ShehuBioinformatics (Oxford, England)|March 29, 2018
Deep learning improves antimicrobial peptide recognitionDaniel Veltri, Uday Kamath, Amarda ShehuPlos One|July 18, 2014
Effective automated feature construction and selection for classification of biological sequencesUday Kamath, Kenneth De Jong, Amarda ShehuJournal of Bioinformatics and Computational Biology|June 30, 2011
A two-stage evolutionary approach for effective classification of hypersensitive DNA sequencesUday Kamath, Amarda Shehu, Kenneth A De JongIEEE/ACM Transactions on Computational Biology and Bioinformatics|April 18, 2012
An evolutionary algorithm approach for feature generation from sequence data and its application to DNA splice site predictionUday Kamath, Jack Compton, Rezarta Islamaj-Doğan, et al.Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|July 30, 2015
idDock+: Integrating Machine Learning in Probabilistic Search for Protein-Protein DockingIrina Hashmi, Amarda ShehuIEEE Transactions on Nanobioscience|February 11, 2016
A General, Adaptive, Roadmap-Based Algorithm for Protein Motion ComputationKevin Molloy, Amarda ShehuJournal of Computational Biology : a Journal of Computational Molecular Cell Biology|July 24, 2015
A Data-Driven Evolutionary Algorithm for Mapping Multibasin Protein Energy LandscapesRudy Clausen, Amarda ShehuProteome Science|February 26, 2014
HopDock: a probabilistic search algorithm for decoy sampling in protein-protein dockingIrina Hashmi, Amarda ShehuBMC Structural Biology|February 26, 2014
Elucidating the ensemble of functionally-relevant transitions in protein systems with a robotics-inspired methodKevin Molloy, Amarda ShehuPageof 10