Four paths to computer animation: entertainment, broadcast, education and science - will their future converge? (panel session). - Robert Abel; Jim Blinn; Carl Rosendahl; Craig Upson (SIGGRAPH, 1988)

Lead optimization mapper: automating free energy calculations for lead optimization. - Shuai Liu; Yujie Wu; Teng Lin; Robert Abel; Jonathan P. Redmann; Christopher M. Summa; Vivian R. Jaber; Nathan M. Lim; David L. Mobley (J. Comput. Aided Mol. Des., 2013)

Docking Covalent Inhibitors: A Parameter Free Approach To Pose Prediction and Scoring. - Kai Zhu; Kenneth W. Borrelli; Jeremy R. Greenwood; Tyler Day; Robert Abel; Ramy Farid; Edward Harder (J. Chem. Inf. Model., 2014)

Accurate Binding Free Energy Predictions in Fragment Optimization. - Thomas B. Steinbrecher; Markus K. Dahlgren; Daniel Cappel; Teng Lin; Lingle Wang; Goran Krilov; Robert Abel; Richard A. Friesner; Woody Sherman (J. Chem. Inf. Model., 2015)

Schrödinger-ANI: An Eight-Element Neural Network Interaction Potential with Greatly Expanded Coverage of Druglike Chemical Space. - James M. Stevenson; Leif D. Jacobson; Yutong Zhao; Chuanjie Wu; Jon Maple; Karl Leswing; Edward Harder; Robert Abel (CoRR, 2019)

Reaction-Based Enumeration, Active Learning, and Free Energy Calculations To Rapidly Explore Synthetically Tractable Chemical Space and Optimize Potency of Cyclin-Dependent Kinase 2 Inhibitors. - Kyle D. Konze; Pieter H. Bos; Markus K. Dahlgren; Karl Leswing; Ivan Tubert-Brohman; Andrea Bortolato; Braxton Robbason; Robert Abel; Sathesh Bhat (J. Chem. Inf. Model., 2019)

Application of Free Energy Perturbation (FEP+) to Understanding Ligand Selectivity: A Case Study to Assess Selectivity Between Pairs of Phosphodiesterases (PDE's). - Francesca Moraca; Ana Negri; Cesar de Oliveira; Robert Abel (J. Chem. Inf. Model., 2019)

Molecular Structure Extraction from Documents Using Deep Learning. - Joshua Staker; Kyle Marshall; Robert Abel; Carolyn McQuaw (J. Chem. Inf. Model., 2019)

Toward Atomistic Modeling of Irreversible Covalent Inhibitor Binding Kinetics. - Haoyu S. Yu; Cen Gao; Dmitry Lupyan; Yujie Wu; Takayuki Kimura; Chuanjie Wu; Leif D. Jacobson; Edward Harder; Robert Abel; Lingle Wang (J. Chem. Inf. Model., 2019)

Is Structure-Based Drug Design Ready for Selectivity Optimization? - Steven K. Albanese; John D. Chodera; Andrea Volkamer; Simon Keng; Robert Abel; Lingle Wang (J. Chem. Inf. Model., 2020)

Combining Cloud-Based Free-Energy Calculations, Synthetically Aware Enumerations, and Goal-Directed Generative Machine Learning for Rapid Large-Scale Chemical Exploration and Optimization. - Phani Ghanakota; Pieter H. Bos; Kyle D. Konze; Joshua Staker; Gabriel Marques; Kyle Marshall; Karl Leswing; Robert Abel; Sathesh Bhat (J. Chem. Inf. Model., 2020)

AutoDesigner, a De Novo Design Algorithm for Rapidly Exploring Large Chemical Space for Lead Optimization: Application to the Design and Synthesis of d-Amino Acid Oxidase Inhibitors. - Pieter H. Bos; Evelyne M. Houang; Fabio Ranalli; Abba E. Leffler; Nicholas A. Boyles; Volker A. Eyrich; Yuval Luria; Dana Katz; Haifeng Tang; Robert Abel; Sathesh Bhat (J. Chem. Inf. Model., 2022)

The Impact of Experimental and Calculated Error on the Performance of Affinity Predictions. - Gary Tresadern; Kanaka Tatikola; Javier Cabrera; Lingle Wang; Robert Abel; Herman van Vlijmen; Helena Geys (J. Chem. Inf. Model., 2022)

Enhancing Hit Discovery in Virtual Screening through Absolute Protein-Ligand Binding Free-Energy Calculations. - Wei Chen; Di Cui; Steven V. Jerome; Mayako Michino; Eelke B. Lenselink; David J. Huggins; Alexandre Beautrait; Jeremie Vendome; Robert Abel; Richard A. Friesner; Lingle Wang (J. Chem. Inf. Model., 2023)

FEP Protocol Builder: Optimization of Free Energy Perturbation Protocols Using Active Learning. - Cesar de Oliveira; Karl Leswing; Shulu Feng; René Kanters; Robert Abel; Sathesh Bhat (J. Chem. Inf. Model., 2023)

AutoDesigner - Core Design, a De Novo Design Algorithm for Chemical Scaffolds: Application to the Design and Synthesis of Novel Selective Wee1 Inhibitors. - Pieter H. Bos; Fabio Ranalli; Emelie Flood; Shawn Watts; Daigo Inoyama; Jennifer L. Knight; Anthony J. Clark; Andrew Placzeck; Jiashi Wang; Aleksey I. Gerasyuto; Sarah Silvergleid; Wu Yin; et al. (J. Chem. Inf. Model., 2024)

Predicting Resistance to Small Molecule Kinase Inhibitors. - Anu Nagarajan; Katherine Amberg-Johnson; Evan Paull; Kunling Huang; Phani Ghanakota; Asela Chandrasinghe; Jackson Chief Elk; Jared M. Sampson; Lingle Wang; Robert Abel; Steven K. Albanese (J. Chem. Inf. Model., 2025)