Characterization of β3-adrenergic receptor: determination of pharmacophore and 3D QSAR model for β3 adrenergic receptor agonism. - Philip Prathipati; Anil K. Saxena (J. Comput. Aided Mol. Des., 2005)

CoMFA and Docking Studies on Glycogen Phosphorylase a Inhibitors as Antidiabetic Agents. - Philip Prathipati; Gyanendra Pandey; Anil K. Saxena (J. Chem. Inf. Model., 2005)

Evaluation of Binary QSAR Models Derived from LUDI and MOE Scoring Functions for Structure Based Virtual Screening. - Philip Prathipati; Anil K. Saxena (J. Chem. Inf. Model., 2006)

Global Bayesian Models for the Prioritization of Antitubercular Agents. - Philip Prathipati; Ngai Ling Ma; Thomas H. Keller (J. Chem. Inf. Model., 2008)

Improved pose and affinity predictions using different protocols tailored on the basis of data availability. - Philip Prathipati; Chioko Nagao; Shandar Ahmad; Kenji Mizuguchi (J. Comput. Aided Mol. Des., 2016)

Integration of Ligand and Structure Based Approaches for CSAR-2014. - Philip Prathipati; Kenji Mizuguchi (J. Chem. Inf. Model., 2016)

BioHackathon 2015: Semantics of data for life sciences and reproducible research. - Rutger A. Vos; Toshiaki Katayama; Hiroyuki Mishima; Shin Kawano; Shuichi Kawashima; Jin-Dong Kim; Yuki Moriya; Toshiaki Tokimatsu; Atsuko Yamaguchi; Yasunori Yamamoto; Hongyan Wu; Peter Amstutz; et al. (F1000Research, 2020)