Lillian T. Chong

According to our database, Lillian T. Chong authored at least 8 papers between 2003 and 2026.

Collaborative distances:

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

2026

The Open Molecular Software Foundation (OMSF) and the Growing Role of Open Source Software in Molecular Modeling.

Karmen Condic-Jurkic, Irfan Alibay, Woody Sherman, Mallory R. Tollefson, W. Patrick Walters, Zachary Baker, Lillian T. Chong, Jennifer N. Wei, Jeffrey J. Gray, Brian D. Weitzner, Daniel G. A. Smith, Julia Koehler Leman, Chris Bahl, David L. Mobley

J. Chem. Inf. Model., 2026

2025

SHINE: Deterministic Many-to-Many Clustering of Molecular Pathways.

Lexin Chen, Jeremy M. G. Leung, Krisztina Zsigmond, Lillian T. Chong, Ramón Alain Miranda-Quintana

J. Chem. Inf. Model., 2025

2024

WEDAP: A Python Package for Streamlined Plotting of Molecular Simulation Data.

Darian T. Yang, Lillian T. Chong

J. Chem. Inf. Model., 2024

2023

LPATH: A Semiautomated Python Tool for Clustering Molecular Pathways.

Anthony T. Bogetti, Jeremy M. G. Leung, Lillian T. Chong

J. Chem. Inf. Model., December, 2023

#COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol.

Abigail C. Dommer, Lorenzo Casalino, Fiona L. Kearns, Mia A. Rosenfeld, Nicholas Wauer, Surl-Hee Ahn, John Russo, A. Sofia F. Oliveira, Clare Morris, Anthony T. Bogetti, Anda Trifan, Alexander Brace, Terra Sztain, Austin Clyde, Heng Ma, S. Chakra Chennubhotla, Hyungro Lee, Matteo Turilli, Syma Khalid, Teresa Tamayo-Mendoza, Matthew Welborn, Anders S. Christensen, Daniel G. A. Smith, Zhuoran Qiao, Sai K. Sirumalla, Michael O'Connor, Frederick R. Manby, Anima Anandkumar, David J. Hardy, James C. Phillips, Abraham C. Stern, Josh Romero, David Clark, Mitchell Dorrell, Tom Maiden, Lei Huang, John D. McCalpin, Christopher J. Woods, Alan Gray, Matt Williams, Bryan Barker, Harinda Rajapaksha, Richard Pitts, Tom Gibbs, John E. Stone, Daniel M. Zuckerman, Adrian J. Mulholland, Thomas F. Miller III, Shantenu Jha, Arvind Ramanathan, Lillian T. Chong, Rommie E. Amaro

Int. J. High Perform. Comput. Appl., 2023

2022

Mechanistic Insights into Passive Membrane Permeability of Drug-like Molecules from a Weighted Ensemble of Trajectories.

She Zhang, Jeffrey P. Thompson, Junchao Xia, Anthony T. Bogetti, Forrest York, A. Geoffrey Skillman, Lillian T. Chong, David N. LeBard

J. Chem. Inf. Model., 2022

2021

AI-driven multiscale simulations illuminate mechanisms of SARS-CoV-2 spike dynamics.

Lorenzo Casalino, Abigail C. Dommer, Zied Gaieb, Emília P. Barros, Terra Sztain, Surl-Hee Ahn, Anda Trifan, Alexander Brace, Anthony T. Bogetti, Austin Clyde, Heng Ma, Hyungro Lee, Matteo Turilli, Syma Khalid, Lillian T. Chong, Carlos Simmerling, David J. Hardy, Julio D. C. Maia, James C. Phillips, Thorsten Kurth, Abraham C. Stern, Lei Huang, John D. McCalpin, Mahidhar Tatineni, Tom Gibbs, John E. Stone, Shantenu Jha, Arvind Ramanathan, Rommie E. Amaro

Int. J. High Perform. Comput. Appl., 2021

2003

Direct hydroxide attack is a plausible mechanism for amidase antibody 43C9.

Lillian T. Chong, Pradipta Bandyopadhyay, Thomas S. Scanlan, Irwin D. Kuntz, Peter A. Kollman

J. Comput. Chem., 2003