Kangway V. Chuang

According to our database, Kangway V. Chuang authored at least 6 papers between 2020 and 2024.

Collaborative distances:

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

2024

Proximity Graph Networks: Predicting Ligand Affinity with Message Passing Neural Networks.

Zachary J. Gale-Day, Laura Shub, Kangway V. Chuang, Michael J. Keiser

J. Chem. Inf. Model., 2024

2023

RINGER: Rapid Conformer Generation for Macrocycles with Sequence-Conditioned Internal Coordinate Diffusion.

Colin A. Grambow, Hayley Weir, Nathaniel L. Diamant, Alex M. Tseng, Tommaso Biancalani, Gabriele Scalia, Kangway V. Chuang

CoRR, 2023

CREMP: Conformer-Rotamer Ensembles of Macrocyclic Peptides for Machine Learning.

Colin A. Grambow, Hayley Weir, Christian N. Cunningham, Tommaso Biancalani, Kangway V. Chuang

CoRR, 2023

Improving Graph Generation by Restricting Graph Bandwidth.

Nathaniel Lee Diamant, Alex M. Tseng, Kangway V. Chuang, Tommaso Biancalani, Gabriele Scalia

Proceedings of the International Conference on Machine Learning, 2023

2022

A 3D-Shape Similarity-based Contrastive Approach to Molecular Representation Learning.

Austin Atsango, Nathaniel L. Diamant, Ziqing Lu, Tommaso Biancalani, Gabriele Scalia, Kangway V. Chuang

CoRR, 2022

2020

Attention-Based Learning on Molecular Ensembles.

Kangway V. Chuang, Michael J. Keiser

CoRR, 2020