Patricia Suriana

According to our database, Patricia Suriana authored at least 13 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Evaluating the Progression of Large Language Model Capabilities for Small-Molecule Drug Design.

Shriram Chennakesavalu, Kirill Shmilovich, Hayley Weir, Colin A. Grambow, John Bradshaw, Patricia Suriana, Chen Cheng, Kangway V. Chuang

CoRR, April, 2026

Struct2Query: Structure-Guided Virtual Screening via Composite-Molecule ROCS Queries Derived from Protein Pocket Similarity.

Kirill Shmilovich, Patricia Suriana, Vishnu Sresht

J. Chem. Inf. Model., 2026

2025

Beyond Atoms: Evaluating Electron Density Representation for 3D Molecular Learning.

Patricia Suriana, Joshua A. Rackers, Ewa M. Nowara, Pedro O. Pinheiro, John M. Nicoloudis, Vishnu Sresht

CoRR, November, 2025

Do we need equivariant models for molecule generation?

Ewa M. Nowara, Joshua A. Rackers, Patricia Suriana, Pan Kessel, Max Shen, Andrew Martin Watkins, Michael Maser

CoRR, July, 2025

2023

Enhancing Ligand Pose Sampling for Molecular Docking.

Patricia Suriana, Ron O. Dror

CoRR, 2023

FlexVDW: A machine learning approach to account for protein flexibility in ligand docking.

Patricia Suriana, Joseph M. Paggi, Ron O. Dror

CoRR, 2023

2021

ATOM3D: Tasks on Molecules in Three Dimensions.

Raphael J. L. Townshend, Martin Vögele, Patricia Suriana, Alexander Derry, Alexander S. Powers, Yianni Laloudakis, Sidhika Balachandar, Bowen Jing, Brandon M. Anderson, Stephan Eismann, Risi Kondor, Russ B. Altman, Ron O. Dror

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Learning from Protein Structure with Geometric Vector Perceptrons.

Bowen Jing, Stephan Eismann, Patricia Suriana, Raphael John Lamarre Townshend, Ron O. Dror

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

ATOM3D: Tasks On Molecules in Three Dimensions.

Raphael J. L. Townshend, Martin Vögele, Patricia Suriana, Alexander Derry, Alexander S. Powers, Yianni Laloudakis, Sidhika Balachandar, Brandon M. Anderson, Stephan Eismann, Risi Kondor, Russ B. Altman, Ron O. Dror

CoRR, 2020

Protein model quality assessment using rotation-equivariant, hierarchical neural networks.

Stephan Eismann, Patricia Suriana, Bowen Jing, Raphael J. L. Townshend, Ron O. Dror

CoRR, 2020

2019

End-to-End Learning on 3D Protein Structure for Interface Prediction.

Raphael J. L. Townshend, Rishi Bedi, Patricia Suriana, Ron O. Dror

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Tiramisu: A Polyhedral Compiler for Expressing Fast and Portable Code.

Riyadh Baghdadi, Jessica Ray, Malek Ben Romdhane, Emanuele Del Sozzo, Abdurrahman Akkas, Yunming Zhang, Patricia Suriana, Shoaib Kamil, Saman P. Amarasinghe

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2019

2017

Parallel associative reductions in halide.

Patricia Suriana, Andrew Adams, Shoaib Kamil

Proceedings of the 2017 International Symposium on Code Generation and Optimization, 2017