H. Shashikala, A. Chakravorty, S. K. Panday, and E. Alexov. BION-2: Predicting Positions of Non-Specifically Bound Ions on Protein Surface by a Gaussian-Based Treatment of Electrostatics. International Journal of Molecular Sciences, Multidisciplinary Digital Publishing Institute, volume 22, issue 1, pages 272, 2021. A. Chakravorty, S. Panday, S. Pahari, S. Zhao, and E. Alexov. Capturing the Effects of Explicit Waters in Implicit Electrostatics Modeling: Qualitative Justification of Gaussian-Based Dielectric Models in DelPhi. Journal of chemical information and modeling, American Chemical Society, volume 60, issue 4, pages 2229-2246, 2020. A. Chakravorty, J. Higham, E. Alexov, and R. Henchman. Effect of water on the entropy of protein-protein binding. ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, volume 258, 2019. S. K. Panday, M. H. Shashikala, A. Chakravorty, S. Zhao, and E. Alexov. Reproducing ensemble averaged electrostatics with Super-Gaussian-based smooth dielectric function: application to electrostatic component of binding energy of protein complexes. Communications in Information and Systems, volume 19, issue 4, 2019. H. Shashikala, A. Chakravorty, and E. Alexov. Modeling electrostatic force in protein-protein recognition. Frontiers in molecular biosciences, Frontiers, volume 6, pages 94, 2019. C. Li, Z. Jia, A. Chakravorty, S. Pahari, Y. Peng, S. Basu, M. Koirala, S. K. Panday, M. Petukh, L. Li, and others. DelPhi suite: New developments and review of functionalities. Journal of computational chemistry, John Wiley \& Sons, Inc. Hoboken, USA, volume 40, issue 28, pages 2502-2508, 2019. M. S. H. Bosthanthirige, A. Chakravorty, and E. Alexov. Modeling Electrostatic Force in Protein-Protein Recognition. Biophysical Journal, Elsevier, volume 116, issue 3, pages 46a, 2019. A. Chakravorty, J. Higham, E. Alexov, and R. H. Henchman. New method to determine the effect of dimerization on protein flexibility from molecular dynamics simulation using structural hierarchy. Biophysical Journal, Elsevier, volume 116, issue 3, pages 561a-562a, 2019. A. Chakravorty, E. Gallicchio, and E. Alexov. A grid-based algorithm in conjunction with a gaussian-based model of atoms for describing molecular geometry. Journal of computational chemistry, John Wiley \& Sons, Inc. Hoboken, USA, volume 40, issue 12, pages 1290-1304, 2019. A. Chakravorty, Z. Jia, Y. Peng, N. Tajielyato, L. Wang, and E. Alexov. Gaussian-based smooth dielectric function: a surface-free approach for modeling macromolecular binding in solvents. Frontiers in molecular biosciences, Frontiers, volume 5, pages 25, 2018. A. Chakravorty, Z. Jia, L. Li, S. Zhao, and E. Alexov. Reproducing the ensemble average polar solvation energy of a protein from a single structure: gaussian-based smooth dielectric function for macromolecular modeling. Journal of chemical theory and computation, American Chemical Society, volume 14, issue 2, pages 1020-1032, 2018. L. Li, Z. Jia, Y. Peng, A. Chakravorty, L. Sun, and E. Alexov. DelPhiForce web server: electrostatic forces and energy calculations and visualization. Bioinformatics, Oxford University Press, volume 33, issue 22, pages 3661-3663, 2017. Z. Jia, L. Li, A. Chakravorty, and E. Alexov. Treating ion distribution with G aussian-based smooth dielectric function in DelPhi. 2017. A. Chakravorty, Z. Jia, L. Li, and E. Alexov. A new DelPhi feature for modeling electrostatic potential around proteins: Role of bound ions and implications for zeta-potential. Langmuir, American Chemical Society, volume 33, issue 9, pages 2283-2295, 2017. L. Li, A. Chakravorty, and E. Alexov. DelPhiForce, a tool for electrostatic force calculations: Applications to macromolecular binding. Journal of computational chemistry, volume 38, issue 9, pages 584-593, 2017.