Victor S. Batista

According to our database, Victor S. Batista authored at least 12 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

CardioGenAI: a machine learning-based framework for re-engineering drugs for reduced hERG liability.

Gregory W. Kyro, Matthew T. Martin, Eric D. Watt, Victor S. Batista

J. Cheminformatics, December, 2025

A Model-Centric Review of Deep Learning for Protein Design.

Gregory W. Kyro, Tianyin Qiu, Victor S. Batista

CoRR, February, 2025

DirectMultiStep: Direct Route Generation for Multistep Retrosynthesis.

Yu Shee, Anton Morgunov, Haote Li, Victor S. Batista

J. Chem. Inf. Model., 2025

Computational Chemistry in the Global South: A Latin American Perspective.

Sergio Pantano, Luciana Capece, Laura Gagliardi, Kenneth M. Merz Jr., Victor S. Batista, Thereza A. Soares

J. Chem. Inf. Model., 2025

T-ALPHA: A Hierarchical Transformer-Based Deep Neural Network for Protein-Ligand Binding Affinity Prediction with Uncertainty-Aware Self-Learning for Protein-Specific Alignment.

Gregory W. Kyro, Anthony M. Smaldone, Yu Shee, Chuzhi Xu, Victor S. Batista

J. Chem. Inf. Model., 2025

2024

Effective versus Floquet theory for the Kerr parametric oscillator.

Ignacio García-Mata, Rodrigo G. Cortiñas, Xu Xiao, Jorge Chávez-Carlos, Victor S. Batista, Lea F. Santos, Diego Wisniacki

Quantum, 2024

ChemSpaceAL: An Efficient Active Learning Methodology Applied to Protein-Specific Molecular Generation.

Gregory W. Kyro, Anton Morgunov, Rafael I. Brent, Victor S. Batista

J. Chem. Inf. Model., 2024

DirectMultiStep: Direct Route Generation for Multi-Step Retrosynthesis.

Yu Shee, Haote Li, Anton Morgunov, Victor S. Batista

CoRR, 2024

2023

Quantum convolutional neural networks for multi-channel supervised learning.

Anthony M. Smaldone, Gregory W. Kyro, Victor S. Batista

Quantum Mach. Intell., December, 2023

HAC-Net: A Hybrid Attention-Based Convolutional Neural Network for Highly Accurate Protein-Ligand Binding Affinity Prediction.

Gregory W. Kyro, Rafael I. Brent, Victor S. Batista

J. Chem. Inf. Model., April, 2023

The landscape of computational approaches for artificial photosynthesis.

Ke R. Yang, Gregory W. Kyro, Victor S. Batista

Nat. Comput. Sci., 2023

Kernel-Elastic Autoencoder for Molecular Design.

Haote Li, Yu Shee, Brandon Allen, Federica Maschietto, Victor S. Batista

CoRR, 2023