Victor S. Batista

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 8

Top Topics

Convolutional Neural Network

Protein Backbone

Top Venues

J. Chem. Inf. Model.

Quantum Mach. Intell.

Nat. Comput. Sci.

Publications

Gregory W. Kyro, Anton Morgunov, Rafael I. Brent, Victor S. Batista
ChemSpaceAL: An Efficient Active Learning Methodology Applied to Protein-Specific Molecular Generation. J. Chem. Inf. Model. 64 (3) (2024)
Gregory W. Kyro, Matthew T. Martin, Eric D. Watt, Victor S. Batista
CardioGenAI: A Machine Learning-Based Framework for Re-Engineering Drugs for Reduced hERG Liability. CoRR (2024)
Yu Shee, Haote Li, Anton Morgunov, Victor S. Batista
DirectMultiStep: Direct Route Generation for Multi-Step Retrosynthesis. CoRR (2024)
Gregory W. Kyro, Anton Morgunov, Rafael I. Brent, Victor S. Batista
ChemSpaceAL: An Efficient Active Learning Methodology Applied to Protein-Specific Molecular Generation. CoRR (2023)
Anthony M. Smaldone, Gregory W. Kyro, Victor S. Batista
Quantum convolutional neural networks for multi-channel supervised learning. Quantum Mach. Intell. 5 (2) (2023)
Ke R. Yang, Gregory W. Kyro, Victor S. Batista
The landscape of computational approaches for artificial photosynthesis. Nat. Comput. Sci. 3 (6) (2023)
Gregory W. Kyro, Rafael I. Brent, Victor S. Batista
HAC-Net: A Hybrid Attention-Based Convolutional Neural Network for Highly Accurate Protein-Ligand Binding Affinity Prediction. J. Chem. Inf. Model. 63 (7) (2023)
Gregory W. Kyro, Rafael I. Brent, Victor S. Batista
HAC-Net: A Hybrid Attention-Based Convolutional Neural Network for Highly Accurate Protein-Ligand Binding Affinity Prediction. CoRR (2022)