activity
20232026
most citedDrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening

8 citations · 20 across the 14 of their papers we have counts for

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5 papers · 1 filter

q-bio.BM2025★ 2 cited

PharmAgents: Building a Virtual Pharma with Large Language Model Agents

Bowen Gao, Yanwen Huang, Yiqiao Liu +4

The discovery of novel small molecule drugs remains a critical scientific challenge with far-reaching implications for treating diseases and advancing human health. Traditional dru…

q-bio.BM2025

Pushing the boundaries of Structure-Based Drug Design through Collaboration with Large Language Models

Bowen Gao, Yanwen Huang, Yiqiao Liu +4

Structure-Based Drug Design (SBDD) has revolutionized drug discovery by enabling the rational design of molecules for specific protein targets. Despite significant advancements in…

q-bio.BM2024

From Theory to Therapy: Reframing SBDD Model Evaluation via Practical Metrics

Bowen Gao, Haichuan Tan, Yanwen Huang +5

Recent advancements in structure-based drug design (SBDD) have significantly enhanced the efficiency and precision of drug discovery by generating molecules tailored to bind specif…

q-bio.BM2024★ 2 cited

SIU: A Million-Scale Structural Small Molecule-Protein Interaction Dataset for Unbiased Bioactivity Prediction

Yanwen Huang, Bowen Gao, Yinjun Jia +4

Small molecules play a pivotal role in modern medicine, and scrutinizing their interactions with protein targets is essential for the discovery and development of novel, life-savin…

q-bio.BM2024★ 2 cited

Rethinking Specificity in SBDD: Leveraging Delta Score and Energy-Guided Diffusion

Bowen Gao, Minsi Ren, Yuyan Ni +5

In the field of Structure-based Drug Design (SBDD), deep learning-based generative models have achieved outstanding performance in terms of docking score. However, further study sh…