Amarda Shehu

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Daniel VeltriU.S. National Institute of Allergy and Infectious Diseases, NIHVerified email at nih.gov
Kevin MolloyAssociate Professor, Department of Computer Science, James Madison UniversityVerified email at jmu.edu
Uday kamathGeorge Mason UniversityVerified email at gmu.edu
Nasrin AkhterAssistant Professor of Teaching, University at BuffaloVerified email at buffalo.edu
Irina HashmiGeorge Mason UniversityVerified email at gmu.edu
Lydia E. KavrakiRice UniversityVerified email at rice.edu
Nadine KabbaniGeorge Mason UniversityVerified email at gmu.edu
Erion PlakuProgram Director, National Science Foundation (NSF)Verified email at nsf.gov
Ruth NussinovProfessor and Senior Principal Investigator, National Cancer Institute and Tel Aviv UniversityVerified email at post.tau.ac.il
Cecilia ClementiProfessor of Physics, Freie Universität BerlinVerified email at fu-berlin.de
Rudy ClausenGeorge Mason UniversityVerified email at gmu.edu
Ahmed Bin ZamanGeorge Mason UniversityVerified email at gmu.edu
Emmanuel SapinUniversity of Colorado BoulderVerified email at colorado.edu
Daniel BarbaraProfessor of Computer Science, George Mason UniversityVerified email at gmu.edu
Kazi Lutful KabirAssistant Professor, George Mason UniversityVerified email at gmu.edu
Buyong MaSchool of Pharmacy, Shanghai Jiaotong UniversityVerified email at sjtu.edu.cn
Murat OzKuwait University, Health Science CenterVerified email at ku.edu.kw
Bassem Shaban SadekProfessor, Department of Pharmacology and Therapeutics, United Arab Emirates UniversityVerified email at uaeu.ac.ae
Shuba, YaroslavBogomoletz Institute of PhysiologyVerified email at biph.kiev.ua
Zahra RajabiPhD MSc in CS @GMU - Principal Applied ScientistVerified email at gmu.edu

Amarda Shehu

Professor of Computer Science, George Mason University

Verified email at gmu.edu - Homepage

Computational Biology Artificial Intelligence Robotics Biophysics Bioinformatics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Deep learning improves antimicrobial peptide recognition D Veltri, U Kamath, A Shehu Bioinformatics 34 (16), 2740-2747, 2018	423	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	236	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	109	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	102	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	98	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	79	2013
A survey of computational methods for protein function prediction A Shehu, D Barbará, K Molloy Big data analytics in genomics, 225-298, 2016	77	2016
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
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	72	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	70	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	66	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	63	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	57	2012
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	53	2020
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	51	2009
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	50	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
Probabilistic search and optimization for protein energy landscapes A Shehu, S Aluru, A Singh Handbook of Computational Molecular Biology, 2013	48	2013

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