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基于结构的计算机辅助药物发现的开源浏览器工具。

Open-Source Browser-Based Tools for Structure-Based Computer-Aided Drug Discovery.

机构信息

Department of Biological Sciences, University of Pittsburgh, Pittsburgh, PA 15260, USA.

出版信息

Molecules. 2022 Jul 20;27(14):4623. doi: 10.3390/molecules27144623.

Abstract

We here outline the importance of open-source, accessible tools for computer-aided drug discovery (CADD). We begin with a discussion of drug discovery in general to provide context for a subsequent discussion of structure-based CADD applied to small-molecule ligand discovery. Next, we identify usability challenges common to many open-source CADD tools. To address these challenges, we propose a browser-based approach to CADD tool deployment in which CADD calculations run in modern web browsers on users' local computers. The browser app approach eliminates the need for user-initiated download and installation, ensures broad operating system compatibility, enables easy updates, and provides a user-friendly graphical user interface. Unlike server apps-which run calculations "in the cloud" rather than on users' local computers-browser apps do not require users to upload proprietary information to a third-party (remote) server. They also eliminate the need for the difficult-to-maintain computer infrastructure required to run user-initiated calculations remotely. We conclude by describing some CADD browser apps developed in our lab, which illustrate the utility of this approach. Aside from introducing readers to these specific tools, we are hopeful that this review highlights the need for additional browser-compatible, user-friendly CADD software.

摘要

我们在这里概述了开源、可访问的计算机辅助药物发现 (CADD) 工具的重要性。我们首先讨论了一般的药物发现,为随后讨论基于结构的 CADD 在小分子配体发现中的应用提供了背景。接下来,我们确定了许多开源 CADD 工具共有的可用性挑战。为了解决这些挑战,我们提出了一种基于浏览器的 CADD 工具部署方法,其中 CADD 计算在用户本地计算机上的现代 Web 浏览器中运行。浏览器应用程序方法消除了用户发起下载和安装的需要,确保了广泛的操作系统兼容性,支持轻松更新,并提供了用户友好的图形用户界面。与在“云端”而不是在用户本地计算机上运行计算的服务器应用程序不同,浏览器应用程序不需要用户将专有信息上传到第三方(远程)服务器。它们还消除了远程运行用户发起计算所需的难以维护的计算机基础设施的需求。最后,我们通过描述我们实验室开发的一些 CADD 浏览器应用程序来结束本文,这些应用程序说明了这种方法的实用性。除了向读者介绍这些特定的工具外,我们还希望本综述强调需要更多的浏览器兼容、用户友好的 CADD 软件。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/938f/9319651/7cb964b4200e/molecules-27-04623-g001.jpg

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