1 citations · 1 across the 5 of their papers we have counts for
5 papers
Parity-equivariant prediction of conformer-resolved electronic circular dichroism spectra accelerates absolute configuration assignment
Yi Jiang, Letian Chen, Runhan Shi +6
Electronic circular dichroism (ECD) is a key experimental probe for assigning the absolute configuration of chiral molecules, but interpreting measured spectra often requires costl…
Learning Molecular Chirality via Chiral Determinant Kernels
Runhan Shi, Zhicheng Zhang, Letian Chen +2
Chirality is a fundamental molecular property that governs stereospecific behavior in chemistry and biology. Capturing chirality in machine learning models remains challenging due…
RTMol: Rethinking Molecule-text Alignment in a Round-trip View
Letian Chen, Runhan Shi, Gufeng Yu +1
Aligning molecular sequence representations (e.g., SMILES notations) with textual descriptions is critical for applications spanning drug discovery, materials design, and automated…
Reaction Prediction via Interaction Modeling of Symmetric Difference Shingle Sets
Runhan Shi, Letian Chen, Gufeng Yu +1
Chemical reaction prediction remains a fundamental challenge in organic chemistry, where existing machine learning models face two critical limitations: sensitivity to input permut…
BatGPT-Chem: A Foundation Large Model For Retrosynthesis Prediction
Yifei Yang, Runhan Shi, Zuchao Li +4
Retrosynthesis analysis is pivotal yet challenging in drug discovery and organic chemistry. Despite the proliferation of computational tools over the past decade, AI-based systems…