ADMET-PrInt:ADMET-PrInt: ADMET 特性评估:预测和解释。

IF 5.3 2区 化学 Q1 CHEMISTRY, MEDICINAL
Ewelina Jamrozik, Marek Śmieja and Sabina Podlewska*, 
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引用次数: 0

摘要

药物设计应用计算策略的发展取得了巨大进步,彻底改变了新药研发过程。尽管硅学策略的重点仍然是使化合物对所考虑的靶点具有预期的活性,但对化合物的物理化学和 ADMET 特性进行表征已成为计算机辅助药物设计方案中不可或缺的要素。在这项研究中,开发了一个在线应用程序 ADMET-PrInt,用于对所选化合物的以下特性进行硅学评估:心脏毒性、溶解性、遗传毒性、膜渗透性和血浆蛋白结合力。除了预测特定特性外,ADMET-PrInt 还能识别影响该特性的化合物特征,这要归功于两种可解释性方法的应用:局部可解释性模型失真解释和反事实分析。这对药物化学家来说是一个重要因素,因为它极大地促进了根据评估特性优化化合物结构的过程。通过 admet.if-pan.krakow.pl 网站上的直观网页,非专业人员和非程序员也可以使用所有预测和可解释性模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

ADMET-PrInt: Evaluation of ADMET Properties: Prediction and Interpretation

ADMET-PrInt: Evaluation of ADMET Properties: Prediction and Interpretation

ADMET-PrInt: Evaluation of ADMET Properties: Prediction and Interpretation

Great progress in the development of computational strategies for drug design applications has revolutionized the process of searching for new drugs. Although the focus of in silico strategies is still put on the provision of the desired activity of a compound to the considered target, characterization of a compound in terms of its physicochemical and ADMET properties becomes an indispensable element of computer-aided drug design protocols. In the study, an online application ADMET-PrInt for in silico assessment of selected compound features: cardiotoxicity, solubility, genotoxicity, membrane permeability, and plasma protein binding was prepared. In addition to the prediction of particular property, ADMET-PrInt enables also the identification of compound features influencing this property thanks to the application of two explainability approaches: local interpretabile model-agnostic explanations and counterfactual analysis. It is an important factor for medicinal chemists, as it greatly facilitates the process of optimization of the compound structure in terms of the evaluated properties. The intuitive webpage, available at admet.if-pan.krakow.pl, allows making use of all predictive and interpretability models also by nonexperts and nonprogrammers.

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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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