most citedFastCSP: Accelerated Molecular Crystal Structure Prediction with Universal Model for Atoms

1 citations · 1 across the 1 of their papers we have counts for

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5 papers

physics.chem-ph20261 cited

FastCSP: Accelerated Molecular Crystal Structure Prediction with Universal Model for Atoms

Vahe Gharakhanyan, Yi Yang, Luis Barroso-Luque +24

Molecular crystal structure prediction (CSP) is essential for applications in pharmaceuticals and organic electronics. However, CSP remains challenging and computationally intensiv…

physics.comp-ph2026

A Massively Scalable Ligand-Protein Dissociation Dynamic Database Derived from Atomistic Molecular Modelling

Maodong Li, Dechin Chen, Zhijun Pan +2

Understanding the kinetics of drug-protein interactions is paramount for drug design, yet the field lacks large-scale, dynamic data to move beyond static structural analysis. Here,…

cs.LG2026

BiScale-GTR: Fragment-Aware Graph Transformers for Multi-Scale Molecular Representation Learning

Yi Yang, Ovidiu Daescu

Fragment-level representations provide a natural way to capture recurring molecular substructures and reuse their learned representations across molecules. However, a shared fragme…

physics.chem-ph2025

Open Molecular Crystals 2025 (OMC25) Dataset and Models

Vahe Gharakhanyan, Luis Barroso-Luque, Yi Yang +16

The development of accurate and efficient machine learning models for predicting the structure and properties of molecular crystals has been hindered by the scarcity of publicly av…

cs.LG2025

Improving Protein Sequence Design through Designability Preference Optimization

Fanglei Xue, Andrew Kubaney, Zhichun Guo +4

Protein sequence design methods have demonstrated strong performance in sequence generation for de novo protein design. However, as the training objective was sequence recovery, it…