| Connecting Non-Gaussian Water Density Fluctuations to the Lengthscale Dependent Crossover in Hydrophobic Hydration I Sinha, SM Cramer, HS Ashbaugh, S Garde The Journal of Physical Chemistry B, 2022 | 9 | 2022 |
| Characterization of Protein Surface Hydrophobicity Using Molecular Dynamics Simulations and Deep Learning I Sinha Rensselaer Polytechnic Institute, 2022 | 3 | 2022 |
| Exploring preferred binding domains of IgG1 mAbs to multimodal adsorbents using a combined biophysics and simulation approach K Dhingra, I Sinha, M Snyder, D Roush, SM Cramer Biotechnology Progress 40 (2), e3415, 2024 | 2 | 2024 |
| Comparative analysis of protein surface hydrophobicity maps determined by sparse sampling INDUS and spatial aggregation propensity I Sinha, S Garde, SM Cramer The Journal of Physical Chemistry B 127 (48), 10304-10314, 2023 | 2 | 2023 |
| Unveiling protein surface hydrophobicity: A comparative analysis of the spatial aggregation propensity index with water density perturbation-based metric I Sinha, S Garde, SM Cramer ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2023 | | 2023 |
| Using Fast INDUS molecular dynamics simulations to unravel interaction hotspots for model proteins I Sinha, S Garde, SM Cramer ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2022 | | 2022 |
| Using deep learning and MD simulations to understand protein surface hydrophobicity and protein interactions I Sinha, C Bilodeau, S Garde, SM Cramer ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2021 | | 2021 |
| Using AI based descriptors to model protein chromatography I Sinha, C Bilodeau, S Garde, SM Cramer ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2020 | | 2020 |
