Checkpoints For LaMGen: LLM-Based 3D Molecular Generation for Multi-Target Drug Design

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Authors: Qiaolin Gou
Cited by: 0

Abstract

Checkpoints for LaMGen, including: A small-molecule pretraining model trained on the GEOM dataset Zero-shot models for dual-target and triple-target molecule generation lamgen_env.yml is a Conda environment file specifically for the LaMGen The related code is available at: https://github.com/cholin01/LaMGen/tree/master

Fields of Study & Subjects

Computational Drug Discovery Methods Machine Learning in Materials Science Protein Degradation and Inhibitors

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
12 January 2026
Document type
Dataset