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MolProphet:一个用于药物发现早期阶段的一站式、通用且基于人工智能的平台。

MolProphet: A One-Stop, General Purpose, and AI-Based Platform for the Early Stages of Drug Discovery.

作者信息

Yang Keda, Xie Zewen, Li Zhen, Qian Xiaoliang, Sun Nannan, He Tao, Xu Zuodong, Jiang Jing, Mei Qi, Wang Jie, Qu Shugang, Xu Xiaoling, Chen Chaoxiang, Ju Bin

机构信息

Key Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou 310015, P. R. China.

Hangzhou SanOmics Information Technology Co., Ltd., Hangzhou 310015, P. R. China.

出版信息

J Chem Inf Model. 2024 Apr 22;64(8):2941-2947. doi: 10.1021/acs.jcim.3c01979. Epub 2024 Apr 2.

Abstract

Artificial intelligence (AI) is an effective tool to accelerate drug discovery and cut costs in discovery processes. Many successful AI applications are reported in the early stages of small molecule drug discovery. However, most of those applications require a deep understanding of software and hardware, and focus on a single field that implies data normalization and transfer between those applications is still a challenge for normal users. It usually limits the application of AI in drug discovery. Here, based on a series of robust models, we formed a one-stop, general purpose, and AI-based drug discovery platform, MolProphet, to provide complete functionalities in the early stages of small molecule drug discovery, including AI-based target pocket prediction, hit discovery and lead optimization, and compound targeting, as well as abundant analyzing tools to check the results. MolProphet is an accessible and user-friendly web-based platform that is fully designed according to the practices in the drug discovery industry. The molecule screened, generated, or optimized by the MolProphet is purchasable and synthesizable at low cost but with good drug-likeness. More than 400 users from industry and academia have used MolProphet in their work. We hope this platform can provide a powerful solution to assist each normal researcher in drug design and related research areas. It is available for everyone at https://www.molprophet.com/.

摘要

人工智能(AI)是加速药物研发并降低研发成本的有效工具。在小分子药物研发的早期阶段,已有许多成功的人工智能应用案例被报道。然而,这些应用大多需要对软件和硬件有深入的了解,并且专注于单一领域,这意味着数据归一化以及这些应用之间的数据传输对于普通用户而言仍是一项挑战。这通常限制了人工智能在药物研发中的应用。在此,基于一系列强大的模型,我们构建了一个一站式、通用的、基于人工智能的药物研发平台MolProphet,以在小分子药物研发的早期阶段提供完整的功能,包括基于人工智能的靶标口袋预测、苗头化合物发现和先导化合物优化、化合物靶向,以及用于检查结果的丰富分析工具。MolProphet是一个易于访问且用户友好的基于网络的平台,其设计完全遵循药物研发行业的实践。由MolProphet筛选、生成或优化的分子可低成本购买且可合成,同时具有良好的类药性。来自行业和学术界的400多名用户已在其工作中使用了MolProphet。我们希望这个平台能够提供一个强大的解决方案,以协助每一位普通研究人员进行药物设计及相关研究领域的工作。它可供所有人在https://www.molprophet.com/上使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8488/11040716/9bc55c9b65b5/ci3c01979_0001.jpg

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