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NanoShaperWeb:让分子表面和口袋检测可视化。

NanoShaperWeb: Molecular Surface and Pocket Detection Made Visual.

作者信息

Abate Carlo, Serra Eleonora, Rocchia Walter, Cavalli Andrea, Decherchi Sergio

机构信息

Department of Pharmacy and Biotechnology (FaBiT), Alma Mater Studiorum - University of Bologna, via Belmeloro 6, 40126 Bologna, Italy.

Computational & Chemical Biology, Fondazione Istituto Italiano di Tecnologia, via Morego 30, 16163 Genoa, Italy.

出版信息

J Chem Inf Model. 2025 Jul 28;65(14):7341-7346. doi: 10.1021/acs.jcim.5c00821. Epub 2025 Jun 30.

Abstract

Analyzing molecular surfaces to predict functional sites and identify protein cavities for small molecule binding is essential in structural biology and drug discovery, particularly when targeting allosteric sites or designing PROTACs. Moreover, measuring properties like volume, surface area, and pockets' chemical descriptors helps in understanding protein function and improving drug development. Over the past decades, numerous surface and pocket-detection tools have been developed. While these tools provide valuable insights, they often require extensive postprocessing of text output files, making the analysis workflow cumbersome. To address this limitation, we introduce NanoShaperWeb, a web server that not only provides the computational capabilities of NanoShaper but also eliminates the need for manual text file processing through an intuitive web-based interface. Molecular surface and pocket-detection computations are performed remotely via a queue, with results visualized interactively and available for download. The application also delivers for each pocket DrugPred descriptors, enabling deeper insights into pocket features. By streamlining molecular analysis, this tool offers an efficient and accessible platform for researchers, supporting key stages of the drug design pipeline. The NanoShaperWeb tool is freely accessible online at https://nanoshaperweb.iit.it/ with no required registration.

摘要

在结构生物学和药物发现中,分析分子表面以预测功能位点并识别用于小分子结合的蛋白质腔至关重要,特别是在靶向变构位点或设计PROTAC时。此外,测量诸如体积、表面积和口袋的化学描述符等属性有助于理解蛋白质功能并改进药物开发。在过去几十年中,已经开发了许多表面和口袋检测工具。虽然这些工具提供了有价值的见解,但它们通常需要对文本输出文件进行大量的后处理,从而使分析工作流程变得繁琐。为了解决这一限制,我们引入了NanoShaperWeb,这是一个网络服务器,它不仅提供了NanoShaper的计算能力,还通过直观的基于网络的界面消除了手动处理文本文件的需要。分子表面和口袋检测计算通过队列远程执行,结果以交互方式可视化并可供下载。该应用程序还为每个口袋提供DrugPred描述符,从而能够更深入地了解口袋特征。通过简化分子分析,该工具为研究人员提供了一个高效且易于使用的平台,支持药物设计流程的关键阶段。NanoShaperWeb工具可在https://nanoshaperweb.iit.it/上免费在线访问,无需注册。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cdd/12308785/cfa53e68c391/ci5c00821_0001.jpg

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