5 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.CL2025
Enhancing Molecular Property Prediction with Knowledge from Large Language Models
Peng Zhou, Lai Hou Tim, Zhixiang Cheng +4
Predicting molecular properties is a critical component of drug discovery. Recent advances in deep learning, particularly Graph Neural Networks (GNNs), have enabled end-to-end lear…
cs.CL2024
Instruction Multi-Constraint Molecular Generation Using a Teacher-Student Large Language Model
Peng Zhou, Jianmin Wang, Chunyan Li +11
While various models and computational tools have been proposed for structure and property analysis of molecules, generating molecules that conform to all desired structures and pr…
q-bio.QM2023★ 5 cited
DrugAssist: A Large Language Model for Molecule Optimization
Geyan Ye, Xibao Cai, Houtim Lai +5
Recently, the impressive performance of large language models (LLMs) on a wide range of tasks has attracted an increasing number of attempts to apply LLMs in drug discovery. Howeve…