Joseph A. Morrone

13 papers A* 1Journal 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
STAR-VAE: Latent Variable Transformers for Scalable and Controllable Molecular Generation.
CoRR
Bum Chul Kwon, Ben Shapira, Moshiko Raboh, Shreyans Sethi, Shruti Murarka, Joseph A. Morrone, Jianying Hu, Parthasarathy Suryanarayanan
2024 J jnl
MAMMAL - Molecular Aligned Multi-Modal Architecture and Language.
CoRR
Yoel Shoshan, Moshiko Raboh, Michal Ozery-Flato, Vadim Ratner, Alex Golts, Jeffrey K. Weber, Ella Barkan, Simona Rabinovici-Cohen, Sagi Polaczek, Ido Amos, Ben Shapira, Liam Hazan, Matan Ninio, Sivan Ravid, Michael M. Danziger, Joseph A. Morrone, Parthasarathy Suryanarayanan, Michal Rosen-Zvi, Efrat Hexter
2024 J jnl
Multi-view biomedical foundation models for molecule-target and property prediction.
CoRR
Parthasarathy Suryanarayanan, Yunguang Qiu, Shreyans Sethi, Diwakar Mahajan, Hongyang Li, Yuxin Yang, Elif K. Eyigöz, Aldo Guzmán-Sáenz, Daniel E. Platt, Timothy H. Rumbell, Kenney Ng, Sanjoy Dey, Myson Burch, Bum Chul Kwon, Pablo Meyer, Feixiong Cheng, Jianying Hu, Joseph A. Morrone
2024 A* conf
SPARK: Harnessing Human-Centered Workflows with Biomedical Foundation Models for Drug Discovery.
IJCAI
Bum Chul Kwon, Simona Rabinovici-Cohen, Beldine Moturi, Ruth Mwaura, Kezia Wahome, Oliver Njeru, Miguel Shinyenyi, Catherine Wanjiru, Sekou L. Remy, William Ogallo, Itai Guez, Parthasarathy Suryanarayanan, Joseph A. Morrone, Shreyans Sethi, Seung-gu Kang, Tien Huynh, Kenney Ng, Diwakar Mahajan, Hongyang Li, Matan Ninio, Shervin Ayati, Efrat Hexter, Wendy D. Cornell
2024 J jnl
Unsupervised and supervised AI on molecular dynamics simulations reveals complex characteristics of HLA-A2-peptide immunogenicity.
Briefings Bioinform.
Jeffrey K. Weber, Joseph A. Morrone, Seung-gu Kang, Leili Zhang, Lijun Lang, Diego Chowell, Chirag Krishna, Tien Huynh, Prerana Parthasarathy, Binquan Luan, Tyler J. Alban, Wendy D. Cornell, Timothy A. Chan
2022 J jnl
Analysis of Training and Seed Bias in Small Molecules Generated with a Conditional Graph-Based Variational Autoencoder─Insights for Practical AI-Driven Molecule Generation.
J. Chem. Inf. Model.
Seung-gu Kang, Joseph A. Morrone, Jeffrey K. Weber, Wendy D. Cornell
2022 J jnl
In-Pocket 3D Graphs Enhance Ligand-Target Compatibility in Generative Small-Molecule Creation.
CoRR
Seung-gu Kang, Jeffrey K. Weber, Joseph A. Morrone, Leili Zhang, Tien Huynh, Wendy D. Cornell
2022 J jnl
Roughness of Molecular Property Landscapes and Its Impact on Modellability.
J. Chem. Inf. Model.
Matteo Aldeghi, David E. Graff, Nathan C. Frey, Joseph A. Morrone, Edward O. Pyzer-Knapp, Kirk E. Jordan, Connor W. Coley
2022 J jnl
Self-Focusing Virtual Screening with Active Design Space Pruning.
J. Chem. Inf. Model.
David E. Graff, Matteo Aldeghi, Joseph A. Morrone, Kirk E. Jordan, Edward O. Pyzer-Knapp, Connor W. Coley
2022 J jnl
Self-focusing virtual screening with active design space pruning.
CoRR
David E. Graff, Matteo Aldeghi, Joseph A. Morrone, Kirk E. Jordan, Edward O. Pyzer-Knapp, Connor W. Coley
2022 J jnl
Simplified, interpretable graph convolutional neural networks for small molecule activity prediction.
J. Comput. Aided Mol. Des.
Jeffrey K. Weber, Joseph A. Morrone, Sugato Bagchi, Jan D. Estrada Pabon, Seung-gu Kang, Leili Zhang, Wendy D. Cornell
2021 J jnl
Analysis of training and seed bias in small molecules generated with a conditional graph-based variational autoencoder - Insights for practical AI-driven molecule generation.
CoRR
Seung-gu Kang, Joseph A. Morrone, Jeffrey K. Weber, Wendy D. Cornell
2020 J jnl
Combining Docking Pose Rank and Structure with Deep Learning Improves Protein-Ligand Binding Mode Prediction over a Baseline Docking Approach.
J. Chem. Inf. Model.
Joseph A. Morrone, Jeffrey K. Weber, Tien Huynh, Heng Luo, Wendy D. Cornell