3Drefine: an interactive web server for efficient protein structure refinement D Bhattacharya, J Nowotny, R Cao, J Cheng Nucleic acids research 44 (W1), W406-W409, 2016 | 428 | 2016 |
3Drefine: Consistent protein structure refinement by optimizing hydrogen bonding network and atomic‐level energy minimization D Bhattacharya, J Cheng Proteins: Structure, Function, and Bioinformatics 81 (1), 119-131, 2013 | 237 | 2013 |
Effect of bioactive tannoid principles of Emblica officinalis on ischemia-reperfusion-induced oxidative stress in rat heart SK Bhattacharya, D Bhattacharya, K Sairam, S Ghosal Phytomedicine 9 (2), 171-174, 2002 | 184 | 2002 |
CONFOLD: Residue‐residue contact‐guided ab initio protein folding B Adhikari, D Bhattacharya, R Cao, J Cheng Proteins: Structure, Function, and Bioinformatics 83 (8), 1436-1449, 2015 | 182 | 2015 |
DeepQA: improving the estimation of single protein model quality with deep belief networks R Cao, D Bhattacharya, J Hou, J Cheng BMC bioinformatics 17, 1-9, 2016 | 170 | 2016 |
Effect of Withania somnifera glycowithanolides on a rat model of tardive dyskinesia SK Bhattacharya, D Bhattacharya, K Sairam, S Ghosal Phytomedicine 9 (2), 167-170, 2002 | 113 | 2002 |
QAcon: single model quality assessment using protein structural and contact information with machine learning techniques R Cao, B Adhikari, D Bhattacharya, M Sun, J Hou, J Cheng Bioinformatics 33 (4), 586-588, 2017 | 98 | 2017 |
Hepatoprotective effect of Himoliv®, a polyherbal formulation in rats D Bhattacharya, S Pandit, R Mukherjee, N Das, TK Sur Indian journal of physiology and pharmacology 47, 435-440, 2003 | 92 | 2003 |
Prevention of carbon tetrachloride induced hepatotoxicity in rats by Himoliv, a polyherbal formulation D Bhattacharya, R Mukherjee, S Pandit, N Das, TK Sur Indian journal of pharmacology 35 (3), 183-185, 2003 | 73 | 2003 |
i3Drefine software for protein 3D structure refinement and its assessment in CASP10 D Bhattacharya, J Cheng PloS one 8 (7), e69648, 2013 | 67 | 2013 |
Large-scale model quality assessment for improving protein tertiary structure prediction R Cao, D Bhattacharya, B Adhikari, J Li, J Cheng Bioinformatics 31 (12), i116-i123, 2015 | 66 | 2015 |
Effect of restraint stress on rat brain serotonin SK Bhattacharya, D Bhattacharya Journal of Biosciences 4, 269-274, 1982 | 52 | 1982 |
UniCon3D: de novo protein structure prediction using united-residue conformational search via stepwise, probabilistic sampling D Bhattacharya, R Cao, J Cheng Bioinformatics 32 (18), 2791-2799, 2016 | 46 | 2016 |
QDeep: distance-based protein model quality estimation by residue-level ensemble error classifications using stacked deep residual neural networks MH Shuvo, S Bhattacharya, D Bhattacharya Bioinformatics 36 (Supplement_1), i285–i291, 2020 | 35 | 2020 |
refineD: improved protein structure refinement using machine learning based restrained relaxation D Bhattacharya Bioinformatics 35 (18), 3320-3328, 2019 | 35 | 2019 |
DeepRefiner: High-accuracy protein structure refinement by deep network calibration MH Shuvo, M Gulfam, D Bhattacharya Nucleic Acids Research 49 (W1), W147-W152, 2021 | 33 | 2021 |
De novo protein conformational sampling using a probabilistic graphical model D Bhattacharya, J Cheng Scientific reports 5 (1), 16332, 2015 | 28 | 2015 |
ConEVA: a toolbox for comprehensive assessment of protein contacts B Adhikari, J Nowotny, D Bhattacharya, J Hou, J Cheng BMC bioinformatics 17, 1-12, 2016 | 26 | 2016 |
Massive integration of diverse protein quality assessment methods to improve template based modeling in CASP11 R Cao, D Bhattacharya, B Adhikari, J Li, J Cheng Proteins: Structure, Function, and Bioinformatics 84, 247-259, 2016 | 25 | 2016 |
The transformative power of transformers in protein structure prediction B Moussad, R Roche, D Bhattacharya Proceedings of the National Academy of Sciences 120 (32), e2303499120, 2023 | 24 | 2023 |