Machine Learning Classification and Structure-Functional Analysis of Cancer Mutations Reveal Unique Dynamic and Network Signatures of Driver Sites in Oncogenes and Tumor Suppressor Genes. - Steve Agajanian; Oluyemi Odeyemi; Nathaniel Bischoff; Simrath Ratra; Gennady M. Verkhivker (J. Chem. Inf. Model., 2018)

Allosteric Control of Structural Mimicry and Mutational Escape in the SARS-CoV-2 Spike Protein Complexes with the ACE2 Decoys and Miniprotein Inhibitors: A Network-Based Approach for Mutational Profiling of Binding and Signaling. - Gennady M. Verkhivker; Steve Agajanian; Deniz Yasar Oztas; Grace Gupta (J. Chem. Inf. Model., 2021)

Landscape-Based Protein Stability Analysis and Network Modeling of Multiple Conformational States of the SARS-CoV-2 Spike D614G Mutant: Conformational Plasticity and Frustration-Induced Allostery as Energetic Drivers of Highly Transmissible Spike Variants. - Gennady M. Verkhivker; Steve Agajanian; Ryan Kassab; Keerthi Krishnan (J. Chem. Inf. Model., 2022)

Exploring and Learning the Universe of Protein Allostery Using Artificial Intelligence Augmented Biophysical and Computational Approaches. - Steve Agajanian; Mohammed Alshahrani; Fang Bai; Peng Tao 001; Gennady M. Verkhivker (J. Chem. Inf. Model., 2023)