5 citations · 7 across the 4 of their papers we have counts for
4 papers
Empowering Chemical Structures with Biological Insights for Scalable Phenotypic Virtual Screening
Xiaoqing Lian, Pengsen Ma, Tengfeng Ma +9
Motivation: The scalable identification of bioactive compounds is essential for contemporary drug discovery. This process faces a key trade-off: structural screening offers scalabi…
Y-Mol: A Multiscale Biomedical Knowledge-Guided Large Language Model for Drug Development
Tengfei Ma, Xuan Lin, Tianle Li +8
Large Language Models (LLMs) have recently demonstrated remarkable performance in general tasks across various fields. However, their effectiveness within specific domains such as…
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…
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…