activity
20242026
collaborators

5 papers

cs.AI2026

AgentFold: Closed-Loop Agentic Search for Protein Folding Model Design

Mingquan Liu, Jiangyu Chen, Hanqun Cao +9

Scientific LLM agents have shown promise in literature reasoning, tool use, and experiment planning, but it remains unclear whether they can autonomously improve large, tightly cou…

q-bio.QM2026

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…

cs.CV2026

Rethinking Genomic Modeling Through Optical Character Recognition

Hongxin Xiang, Pengsen Ma, Yunkang Cao +4

Recent genomic foundation models largely adopt large language model architectures that treat DNA as a one-dimensional token sequence. However, exhaustive sequential reading is stru…

cs.CV2025

ImageDDI: Image-enhanced Molecular Motif Sequence Representation for Drug-Drug Interaction Prediction

Yuqin He, Tengfei Ma, Chaoyi Li +6

To mitigate the potential adverse health effects of simultaneous multi-drug use, including unexpected side effects and interactions, accurately identifying and predicting drug-drug…

cs.CV2024

MaskMol: Knowledge-guided Molecular Image Pre-Training Framework for Activity Cliffs

Zhixiang Cheng, Hongxin Xiang, Pengsen Ma +9

Activity cliffs, which refer to pairs of molecules that are structurally similar but show significant differences in their potency, can lead to model representation collapse and ma…