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全面的数据驱动评估人类激酶组抑制剂的非激酶靶标。

Comprehensive Data-Driven Assessment of Non-Kinase Targets of Inhibitors of the Human Kinome.

机构信息

LIMES Program Unit Chemical Biology and Medicinal Chemistry, Department of Life Science Informatics and Data Science, B-IT, Lamarr Institute for Machine Learning and Artificial Intelligence, University of Bonn, Friedrich-Hirzebruch-Allee 5/6, 53115 Bonn, Germany.

出版信息

Biomolecules. 2024 Feb 21;14(3):258. doi: 10.3390/biom14030258.

Abstract

Protein kinases (PKs) are involved in many intracellular signal transduction pathways through phosphorylation cascades and have become intensely investigated pharmaceutical targets over the past two decades. Inhibition of PKs using small-molecular inhibitors is a premier strategy for the treatment of diseases in different therapeutic areas that are caused by uncontrolled PK-mediated phosphorylation and aberrant signaling. Most PK inhibitors (PKIs) are directed against the ATP cofactor binding site that is largely conserved across the human kinome comprising 518 wild-type PKs (and many mutant forms). Hence, these PKIs often have varying degrees of multi-PK activity (promiscuity) that is also influenced by factors such as single-site mutations in the cofactor binding region, compound binding kinetics, and residence times. The promiscuity of PKIs is often-but not always-critically important for therapeutic efficacy through polypharmacology. Various in vitro and in vivo studies have also indicated that PKIs have the potential of interacting with additional targets other than PKs, and different secondary cellular targets of individual PKIs have been identified on a case-by-case basis. Given the strong interest in PKs as drug targets, a wealth of PKIs from medicinal chemistry and their activity data from many assays and biological screens have become publicly available over the years. On the basis of these data, for the first time, we conducted a systematic search for non-PK targets of PKIs across the human kinome. Starting from a pool of more than 155,000 curated human PKIs, our large-scale analysis confirmed secondary targets from diverse protein classes for 447 PKIs on the basis of high-confidence activity data. These PKIs were active against 390 human PKs, covering all kinase groups of the kinome and 210 non-PK targets, which included other popular pharmaceutical targets as well as currently unclassified proteins. The target distribution and promiscuity of the 447 PKIs were determined, and different interaction profiles with PK and non-PK targets were identified. As a part of our study, the collection of PKIs with activity against non-PK targets and the associated information are made freely available.

摘要

蛋白激酶(PKs)通过磷酸化级联反应参与许多细胞内信号转导途径,在过去二十年中已成为备受关注的药物靶点。使用小分子抑制剂抑制 PK 是治疗不同治疗领域疾病的主要策略,这些疾病是由不受控制的 PK 介导的磷酸化和异常信号传导引起的。大多数蛋白激酶抑制剂(PKIs)针对的是 ATP 辅助因子结合位点,该位点在包含 518 种野生型 PK(和许多突变形式)的人类激酶组中广泛保守。因此,这些 PKIs 通常具有不同程度的多 PK 活性(混杂性),这种混杂性还受到辅助因子结合区域单点突变、化合物结合动力学和停留时间等因素的影响。PKIs 的混杂性通常-但并不总是-通过多药理学对治疗效果至关重要。各种体外和体内研究还表明,PKIs 有可能与除 PK 以外的其他靶标相互作用,并且已经根据具体情况确定了各个 PKIs 的不同次要细胞靶标。鉴于人们对 PK 作为药物靶点的浓厚兴趣,多年来,来自药物化学的大量 PKIs 及其来自许多测定和生物筛选的活性数据已经公开。在此基础上,我们首次对人类激酶组中的 PKIs 的非 PK 靶标进行了系统搜索。从超过 155,000 种经过精心筛选的人类 PKIs 中,我们的大规模分析基于高可信度的活性数据,为 447 种 PKIs 确定了来自各种蛋白质类别的次要靶标。这些 PKIs 对 390 种人类 PK 具有活性,涵盖了激酶组的所有激酶组和 210 个非 PK 靶标,其中包括其他热门药物靶标以及目前未分类的蛋白质。确定了 447 种 PKIs 的靶标分布和混杂性,并确定了与 PK 和非 PK 靶标的不同相互作用谱。作为我们研究的一部分,具有针对非 PK 靶标活性的 PKIs 集合及其相关信息免费提供。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ead/10967794/c9823d9e546d/biomolecules-14-00258-g001.jpg

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