MacGen: A Web Server for Structure-Based Macrocycle Design

Macrocyclization is a critical strategy in rational drug design that can offer several advantages, such as enhancing binding affinity, increasing selectivity, and improving cellular permeability. Herein, we introduce MacGen, a web tool devised for structure-based macrocycle design. MacGen identifies exit vector pairs within a ligand that are suitable for cyclization and finds 3D linkers that can align with the geometric arrangement of these pairs to form macrocycles. To aid in the fast acquisition of appropriate linkers, we have built an indexed 3D linker database that includes linkers of various lengths and categories. MacGen provides comprehensive configurable parameters that enable users to obtain preferred linkers, meeting unique requirements in practical ligand design scenarios. We hope MacGen will serve as a handy tool that can rapidly explore potential macrocycle space. The MacGen server is freely accessible at https://macgen.xundrug.cn.

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Publication Details

Journal
Journal of Chemical Information and Modeling
Published
2024-12-12
DOI
https://doi.org/10.1021/acs.jcim.4c01576
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00

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article

MacGen: A Web Server for Structure-Based Macrocycle Design

Zhihan Zhang, Xiaolin Pan, Yueqing Zhang, Dongliang Ke et al.
Journal of Chemical Information and Modeling
Computational Drug Discovery Methods
article

MacGen: A Web Server for Structure-Based Macrocycle Design

Zhihan Zhang, Xiaolin Pan, Yueqing Zhang, Dongliang Ke, Changge Ji, Xingyu Wang, Cheqing Jin, Xudong Xiao, Weiyu Zhou
article en

Abstract

Macrocyclization is a critical strategy in rational drug design that can offer several advantages, such as enhancing binding affinity, increasing selectivity, and improving cellular permeability. Herein, we introduce MacGen, a web tool devised for structure-based macrocycle design. MacGen identifies exit vector pairs within a ligand that are suitable for cyclization and finds 3D linkers that can align with the geometric arrangement of these pairs to form macrocycles. To aid in the fast acquisition of appropriate linkers, we have built an indexed 3D linker database that includes linkers of various lengths and categories. MacGen provides comprehensive configurable parameters that enable users to obtain preferred linkers, meeting unique requirements in practical ligand design scenarios. We hope MacGen will serve as a handy tool that can rapidly explore potential macrocycle space. The MacGen server is freely accessible at https://macgen.xundrug.cn.

Journal of Chemical Information and ModelingVol. 64(24)
New York University Shanghai (CN), East China Normal University (CN)
National Natural Science Foundation of China, East China Normal University
Openalex Percentile: Top 73%
Computational Drug Discovery Methods
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