Avishek Kumar
Avishek Kumar
Intuit AI
Verified email at asu.edu
Title
Cited by
Cited by
Year
Rigidity Loss in Disordered Systems: Three Scenarios
WG Ellenbroek, VF Hagh, A Kumar, MF Thorpe, M van Hecke
Physical review letters 114 (13), 135501, 2015
592015
Amorphous graphene: a realization of Zachariasen’s glass
A Kumar, M Wilson, MF Thorpe
Journal of Physics: Condensed Matter 24 (48), 485003, 2012
452012
The Role of Conformational Dynamics and Allostery in the Disease Development of Human Ferritin
A Kumar, TJ Glembo, SB Ozkan
Biophysical journal 109 (6), 1273-1281, 2015
352015
Path similarity analysis: a method for quantifying macromolecular pathways
SL Seyler, A Kumar, MF Thorpe, O Beckstein
PLoS Comput Biol 11 (10), e1004568, 2015
342015
Modeling vitreous silica bilayers
M Wilson, A Kumar, D Sherrington, MF Thorpe
Physical Review B 87 (21), 214108, 2013
322013
Insulating behavior of an amorphous graphene membrane
D Van Tuan, A Kumar, S Roche, F Ortmann, MF Thorpe, P Ordejon
Physical Review B 86 (12), 121408, 2012
322012
Pentagonal puckering in a sheet of amorphous graphene
Y Li, F Inam, A Kumar, MF Thorpe, DA Drabold
physica status solidi (b) 248 (9), 2082-2086, 2011
242011
Integration of structural dynamics and molecular evolution via protein interaction networks: a new era in genomic medicine
A Kumar, BM Butler, S Kumar, SB Ozkan
Current opinion in structural biology 35, 135-142, 2015
202015
Ring statistics of silica bilayers
A Kumar, D Sherrington, M Wilson, MF Thorpe
Journal of Physics: Condensed Matter 26 (39), 395401, 2014
132014
Using Machine Learning to Assess the Risk of and Prevent Water Main Breaks
A Kumar, SAA Rizvi, B Brooks, RA Vanderveld, KH Wilson, C Kenney, ...
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
102018
Partial unfolding and refolding for structure refinement: A unified approach of geometric simulations and molecular dynamics
A Kumar, P Campitelli, MF Thorpe, SB Ozkan
Proteins: Structure, Function, and Bioinformatics 83 (12), 2279-2292, 2015
42015
Coevolving residues inform protein dynamics profiles and disease susceptibility of nSNVs
BM Butler, IC Kazan, A Kumar, SB Ozkan
PLOS Computational Biology 14 (11), e1006626, 2018
32018
Protein and RNA structure prediction by integration of co-evolutionary information into molecular simulation
E De Leonardis, B Lutz, S Cocco, R Monasson, H Szurmant, M Weigt, ...
Biophysical Journal 108 (2), 13a-14a, 2015
22015
Quantifying Macromolecular Conformational Transition Pathways
O Beckstein, SL Seyler, A Kumar, MF Thorpe
Biophysical Journal 108 (2), 13a, 2015
12015
Monday, February 4, 2013 229a
A Kumar, MF Thorpe, SB Ozkan
1*
A Machine Learning System for Retaining Patients in HIV Care
A Kumar, A Ramachandran, A De Unanue, C Sung, J Walsh, J Schneider, ...
arXiv preprint arXiv:2006.04944, 2020
2020
Dynamic Allosteric Residue Coupling Reveals Disease Mechanism for Gaucher Disease and NSNVS Across the Proteome
N Ose, BM Butler, A Kumar, SB Ozkan, S Kumar
Biophysical Journal 118 (3), 53a, 2020
2020
Predictive Analytics for Retention in Care in an Urban HIV Clinic
R Arthi, K Avishek, H Koenig, UA De, C Sung, J Walsh, J Schneider, ...
Scientific Reports (Nature Publisher Group) 10 (1), 2020
2020
Correction: Path Similarity Analysis: A Method for Quantifying Macromolecular Pathways
SL Seyler, A Kumar, MF Thorpe, O Beckstein
PLoS computational biology 15 (6), e1007136, 2019
2019
Path Similarity Analysis: A Method for Quantifying Macromolecular Pathways (vol 11, e1004568, 2015)
SL Seyler, A Kumar, MF Thorpe, O Beckstein
PLOS COMPUTATIONAL BIOLOGY 15 (6), 2019
2019
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Articles 1–20