af3cli:精简AlphaFold3输入准备。

IF 6.4 2区 化学 Q1 CHEMISTRY, MEDICINAL Journal of Chemical Information and Modeling Pub Date : 2025-04-28 Epub Date: 2025-04-09 DOI:10.1021/acs.jcim.5c00276
Philipp Döpner, Stefan Kemnitz, Mark Doerr, Lukas Schulig
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引用次数: 0

摘要

随着AlphaFold3的发布,建模能力已经从蛋白质结构预测扩展到生物分子系统的固有复杂性,包括核酸、离子、小分子及其相互作用。这些组件的复杂性增加反映在输入文件生成过程中,这对没有高级计算专业知识的研究人员来说是一个重大障碍。虽然AlphaFold服务器提供了一个用户友好的图形用户界面,但它只支持AlphaFold3的一部分功能。为了解决这个问题,我们提出了af3cli,这是一个开源工具,旨在促进AlphaFold3输入文件的生成,专门针对AlphaFold3的独立版本及其不受限制的功能。af3cli以用户友好的命令行界面和附带的Python库为特色,简化了输入生成过程,同时保持了灵活性和自定义性,这使得af3cli对于快速(自动)生成大量输入文件特别有用,因为它支持直接合并FASTA文件、跟踪id并验证JSON文件。通过实际示例,我们展示了其构建从简单蛋白质到复杂系统的各种生物结构输入数据的能力,并展示了其与手动和自动化工作流程的无缝集成。
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af3cli: Streamlining AlphaFold3 Input Preparation.

With the release of AlphaFold3, modeling capabilities have expanded beyond protein structure prediction to embrace the inherent complexity of biomolecular systems, including nucleic acids, ions, small molecules, and their interactions. The increased complexity of these assemblies is reflected in the input file generation process, presenting a significant hurdle for researchers without advanced computational expertise. While AlphaFold Server comes with a user-friendly graphical user interface, it supports only a subset of the features of AlphaFold3. To address this, we present af3cli, an open-source tool designed to facilitate the generation of AlphaFold3 input files, specifically tailored to the standalone version of AlphaFold3 and its unrestricted functionality. Featuring a user-friendly command-line interface and an accompanying Python library, af3cli simplifies the input generation process while maintaining flexibility and customization, which makes af3cli especially useful for fast (automated) generation of a large number of input files since it enables direct incorporation of FASTA files, keeps track of IDs, and validates the JSON file. Through practical examples, we demonstrate its capabilities for constructing input data for diverse biological structures, ranging from simple proteins to complex systems, and demonstrate its seamless integration into both manual and automated workflows.

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来源期刊
CiteScore
9.80
自引率
10.70%
发文量
529
审稿时长
1.4 months
期刊介绍: The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.
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