| Deep learning improves antimicrobial peptide recognition D Veltri, U Kamath, A Shehu Bioinformatics 34 (16), 2740-2747, 2018 | 363 | 2018 |
| Principles and overview of sampling methods for modeling macromolecular structure and dynamics T Maximova, R Moffatt, B Ma, R Nussinov, A Shehu PLoS computational biology 12 (4), e1004619, 2016 | 227 | 2016 |
| Are nicotinic acetylcholine receptors coupled to G proteins? N Kabbani, JC Nordman, BA Corgiat, DP Veltri, A Shehu, VA Seymour, ... Bioessays 35 (12), 1025-1034, 2013 | 107 | 2013 |
| Basin hopping as a general and versatile optimization framework for the characterization of biological macromolecules B Olson, I Hashmi, K Molloy, A Shehu Advances in Artificial Intelligence 2012 (1), 674832, 2012 | 101 | 2012 |
| Modeling protein conformational ensembles: From missing loops to equilibrium fluctuations A Shehu, C Clementi, LE Kavraki Proteins: Structure, Function, and Bioinformatics 65 (1), 164-179, 2006 | 95 | 2006 |
| Multiscale characterization of protein conformational ensembles A Shehu, LE Kavraki, C Clementi Proteins: Structure, Function, and Bioinformatics 76 (4), 837-851, 2009 | 82 | 2009 |
| Menthol binding and inhibition of α7-nicotinic acetylcholine receptors A Ashoor, JC Nordman, D Veltri, KHS Yang, L Al Kury, Y Shuba, ... PloS one 8 (7), e67674, 2013 | 77 | 2013 |
| Guiding the search for native-like protein conformations with an ab-initio tree-based exploration A Shehu, B Olson The International Journal of Robotics Research 29 (8), 1106-1127, 2010 | 74 | 2010 |
| A survey of computational methods for protein function prediction A Shehu, D Barbará, K Molloy Big data analytics in genomics, 225-298, 2016 | 73 | 2016 |
| Mapping the conformation space of wildtype and mutant H-Ras with a memetic, cellular, and multiscale evolutionary algorithm R Clausen, B Ma, R Nussinov, A Shehu PLoS computational biology 11 (9), e1004470, 2015 | 68 | 2015 |
| Improving recognition of antimicrobial peptides and target selectivity through machine learning and genetic programming D Veltri, U Kamath, A Shehu IEEE/ACM transactions on computational biology and bioinformatics 14 (2 …, 2015 | 64 | 2015 |
| Effective automated feature construction and selection for classification of biological sequences U Kamath, K De Jong, A Shehu PloS one 9 (7), e99982, 2014 | 62 | 2014 |
| Menthol inhibits 5-HT3 receptor–mediated currents A Ashoor, JC Nordman, D Veltri, KHS Yang, Y Shuba, L Al Kury, B Sadek, ... Journal of Pharmacology and Experimental Therapeutics 347 (2), 398-409, 2013 | 62 | 2013 |
| Multi-objective stochastic search for sampling local minima in the protein energy surface B Olson, A Shehu Proceedings of the International Conference on Bioinformatics, Computational …, 2013 | 59 | 2013 |
| Modeling structures and motions of loops in protein molecules A Shehu, LE Kavraki Entropy 14 (2), 252-290, 2012 | 56 | 2012 |
| Investigation of a dilated cardiomyopathy–associated variant in BAG3 using genome-edited iPSC-derived cardiomyocytes C McDermott-Roe, W Lv, T Maximova, S Wada, J Bukowy, M Marquez, ... JCI insight 4 (22), 2019 | 49 | 2019 |
| Off-lattice protein structure prediction with homologous crossover B Olson, K De Jong, A Shehu Proceedings of the 15th annual conference on Genetic and evolutionary …, 2013 | 49 | 2013 |
| Restriction versus guidance in protein structure prediction JA Hegler, J Lätzer, A Shehu, C Clementi, PG Wolynes Proceedings of the National Academy of Sciences 106 (36), 15302-15307, 2009 | 49 | 2009 |
| Probabilistic search and optimization for protein energy landscapes A Shehu, S Aluru, A Singh Handbook of Computational Molecular Biology, 2013 | 48 | 2013 |
| Interpretable deep graph generation with node-edge co-disentanglement X Guo, L Zhao, Z Qin, L Wu, A Shehu, Y Ye Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 47 | 2020 |
Kevin MolloyAssistant Professor, Department of Computer Science, James Madison University在 jmu.edu 的电子邮件经过验证
