Allostery in Disease: Anticancer Drugs, Pockets, and the Tumor Heterogeneity Challenge.

IF 4.7 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Ruth Nussinov, Bengi Ruken Yavuz, Hyunbum Jang
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引用次数: 0

Abstract

Charting future innovations is challenging. Yet, allosteric and orthosteric anticancer drugs are undergoing a revolution and taxing unresolved dilemmas await. Among the imaginative innovations, here we discuss cereblon and thalidomide derivatives as a means of recruiting neosubstrates and their degradation, allosteric heterogeneous bifunctional drugs like PROTACs, drugging phosphatases, inducers of targeted posttranslational protein modifications, antibody-drug conjugates, exploiting membrane interactions to increase local concentration, stabilizing the folded state, and more. These couple with harnessing allosteric cryptic pockets whose discovery offers more options to modulate the affinity of orthosteric, active site inhibitors. Added to these are strategies to counter drug resistance through drug combinations co-targeting pathways to bypass signaling blockades. Here, we discuss on the molecular and cellular levels, such inspiring advances, provide examples of their applications, their mechanisms and rational. We start with an overview on difficult to target proteins and their properties-rarely, if ever-conceptualized before, discuss emerging innovative drugs, and proceed to the increasingly popular allosteric cryptic pockets-their advantages-and critically, issues to be aware of. We follow with drug resistance and in-depth discussion of tumor heterogeneity. Heterogeneity is a hallmark of highly aggressive cancers, the core of drug resistance unresolved challenge. We discuss potential ways to target heterogeneity by predicting it. The increase in experimental and clinical data, computed (cell-type specific) interactomes, capturing transient cryptic pockets, learned drug resistance, workings of regulatory mechanisms, heterogeneity, and resistance-based cell signaling drug combinations, assisted by AI-driven reasoning and recognition, couple with creative allosteric drug discovery, charting future innovations.

疾病中的变构:抗癌药物、口袋和肿瘤异质性挑战。
描绘未来的创新是一项挑战。然而,变构抗癌药和正构抗癌药正在经历一场革命,等待着我们的是难以解决的难题。在富有想象力的创新中,我们讨论了小脑和沙利度胺衍生物作为招募新底物及其降解的手段,变构异质双功能药物,如PROTACs,药物磷酸酶,靶向翻译后蛋白修饰的诱导剂,抗体-药物偶联物,利用膜相互作用来增加局部浓度,稳定折叠状态等等。这些结合利用变构隐泡,其发现提供了更多的选择来调节正构活性位点抑制剂的亲和力。除此之外,还有通过药物联合共同靶向途径绕过信号阻断来对抗耐药性的策略。在这里,我们从分子和细胞水平上讨论了这些鼓舞人心的进展,并举例说明了它们的应用、作用机制和合理性。我们首先概述了难以靶向的蛋白质及其特性-如果以前有过概念化,则很少讨论新兴的创新药物,然后继续讨论日益流行的变构隐囊-它们的优势-以及关键的需要注意的问题。我们接着讨论耐药性和肿瘤异质性的深入讨论。异质性是高度侵袭性癌症的标志,也是耐药性尚未解决的核心挑战。我们讨论了通过预测来瞄准异质性的潜在方法。在人工智能驱动的推理和识别的帮助下,实验和临床数据的增加,计算(细胞类型特异性)相互作用组,捕获瞬态隐口袋,学习耐药性,调节机制的运作,异质性和基于耐药性的细胞信号药物组合,再加上创造性的变构药物发现,描绘了未来的创新。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Molecular Biology
Journal of Molecular Biology 生物-生化与分子生物学
CiteScore
11.30
自引率
1.80%
发文量
412
审稿时长
28 days
期刊介绍: Journal of Molecular Biology (JMB) provides high quality, comprehensive and broad coverage in all areas of molecular biology. The journal publishes original scientific research papers that provide mechanistic and functional insights and report a significant advance to the field. The journal encourages the submission of multidisciplinary studies that use complementary experimental and computational approaches to address challenging biological questions. Research areas include but are not limited to: Biomolecular interactions, signaling networks, systems biology; Cell cycle, cell growth, cell differentiation; Cell death, autophagy; Cell signaling and regulation; Chemical biology; Computational biology, in combination with experimental studies; DNA replication, repair, and recombination; Development, regenerative biology, mechanistic and functional studies of stem cells; Epigenetics, chromatin structure and function; Gene expression; Membrane processes, cell surface proteins and cell-cell interactions; Methodological advances, both experimental and theoretical, including databases; Microbiology, virology, and interactions with the host or environment; Microbiota mechanistic and functional studies; Nuclear organization; Post-translational modifications, proteomics; Processing and function of biologically important macromolecules and complexes; Molecular basis of disease; RNA processing, structure and functions of non-coding RNAs, transcription; Sorting, spatiotemporal organization, trafficking; Structural biology; Synthetic biology; Translation, protein folding, chaperones, protein degradation and quality control.
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