most citedGeometric Deep Learning for Structure-Based Drug Design: A Survey

6 citations · 18 across the 10 of their papers we have counts for

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q-bio.BM2024★ 2 cited

DeltaDock: A Unified Framework for Accurate, Efficient, and Physically Reliable Molecular Docking

Jiaxian Yan, Zaixi Zhang, Jintao Zhu +3

Molecular docking, a technique for predicting ligand binding poses, is crucial in structure-based drug design for understanding protein-ligand interactions. Recent advancements in…

q-bio.BM2024★ 2 cited

FlexSBDD: Structure-Based Drug Design with Flexible Protein Modeling

Zaixi Zhang, Mengdi Wang, Qi Liu

Structure-based drug design (SBDD), which aims to generate 3D ligand molecules binding to target proteins, is a fundamental task in drug discovery. Existing SBDD methods typically…

q-bio.BM2024★ 1 cited

Generalized Protein Pocket Generation with Prior-Informed Flow Matching

Zaixi Zhang, Marinka Zitnik, Qi Liu

Designing ligand-binding proteins, such as enzymes and biosensors, is essential in bioengineering and protein biology. One critical step in this process involves designing protein…

q-bio.BM2023★ 1 cited

Multi-scale Iterative Refinement towards Robust and Versatile Molecular Docking

Jiaxian Yan, Zaixi Zhang, Kai Zhang +1

Molecular docking is a key computational tool utilized to predict the binding conformations of small molecules to protein targets, which is fundamental in the design of novel drugs…

q-bio.BM2023★ 3 cited

Full-Atom Protein Pocket Design via Iterative Refinement

Zaixi Zhang, Zepu Lu, Zhongkai Hao +2

The design of \emph{de novo} functional proteins that bind specific ligand molecules is paramount in therapeutics and bio-engineering. A critical yet formidable task in this endeav…