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用于发现新型抗肿瘤药物的非靶向多样性导向合成:一种用于靶点反卷积的逆虚拟筛选、生物信息学和组学的综合方法。

Untargeted Diversity-Oriented Synthesis for the Discovery of New Antitumor Agents: An Integrated Approach of Inverse Virtual Screening, Bioinformatics, and Omics for Target Deconvolution.

作者信息

Ciaglia Tania, Napolitano Valeria, Miranda Maria Rosaria, La Gioia Danila, Musella Simona, Schiano Moriello Aniello, Merciai Fabrizio, Di Sarno Veronica, De Vita Simona, Colarusso Ester, Smaldone Gerardina, Di Matteo Francesca, Sommella Eduardo Maria, Kumar Poulami, Allarà Marco, Ligresti Alessia, Gomez-Monterrey Isabel M, Bifulco Giuseppe, Lauro Gianluigi, Campiglia Pietro, Ostacolo Carmine, Vestuto Vincenzo, Bertamino Alessia

机构信息

Department of Pharmacy, University of Salerno, Via G. Paolo II 132, 84084 Fisciano, Salerno, Italy.

PhD Program in Drug Discovery and Development, University of Salerno, Via G. Paolo II 132, 84084 Fisciano, Salerno, Italy.

出版信息

J Med Chem. 2025 Aug 14;68(15):16483-16517. doi: 10.1021/acs.jmedchem.5c01344. Epub 2025 Jul 24.

Abstract

Molecular diversity is one of the most pursued objectives in drug discovery, and diversity-oriented synthesis (DOS) perfectly responds to the achievement of this goal. In this paper, we describe a DOS approach applied to the antitumor field with the aim of identifying new anticancer structures and their associated targets. To accomplish this ambitious project, after an initial stage of phenotypic evaluation, we set up an integrated platform of inverse virtual screening (IVS), bioinformatics, and omics to predict the biological targets of the most promising compounds and . Several proteins emerged from this study, and the most interesting ones were assessed by biophysical and in cellulo experiments, leading to the validation of six targets involved in calcium regulation, endoplasmic reticulum stress, and apoptosis. This work allowed us to identify two hit compounds with an interesting antitumor mechanism, but principally, to validate our platform as a fruitful tool for untargeted DOS campaigns.

摘要

分子多样性是药物研发中最受追求的目标之一,而多样性导向合成(DOS)完美地回应了这一目标的实现。在本文中,我们描述了一种应用于抗肿瘤领域的DOS方法,旨在识别新的抗癌结构及其相关靶点。为了完成这个雄心勃勃的项目,在最初的表型评估阶段之后,我们建立了一个逆虚拟筛选(IVS)、生物信息学和组学的综合平台,以预测最有前景的化合物的生物学靶点。这项研究中出现了几种蛋白质,其中最有趣的通过生物物理和细胞内实验进行了评估,从而验证了六个参与钙调节、内质网应激和细胞凋亡的靶点。这项工作使我们能够识别出两种具有有趣抗肿瘤机制的命中化合物,但主要是验证了我们的平台作为非靶向DOS活动的有效工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a81d/12362587/c5bd23238846/jm5c01344_0001.jpg

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