Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), 30 Biopolis Street, #07-01, Matrix, 138671, Singapore.
Department of Biological Sciences (DBS), National University of Singapore (NUS), 8 Medical Drive, 117597, Singapore.
J Phys Chem B. 2021 Apr 22;125(15):3763-3780. doi: 10.1021/acs.jpcb.1c00540. Epub 2021 Apr 12.
While the pervasiveness of allostery in proteins is commonly accepted, we further show the generic nature of allosteric mechanisms by analyzing here transmembrane ion-channel viroporin 3a and RNA-dependent RNA polymerase (RdRp) from SARS-CoV-2 along with metabolic enzymes isocitrate dehydrogenase 1 (IDH1) and fumarate hydratase (FH) implicated in cancers. Using the previously developed structure-based statistical mechanical model of allostery (SBSMMA), we share our experience in analyzing the allosteric signaling, predicting latent allosteric sites, inducing and tuning targeted allosteric response, and exploring the allosteric effects of mutations. This, yet incomplete list of phenomenology, forms a complex and unique allosteric territory of protein function, which should be thoroughly explored. We propose a generic computational framework, which not only allows one to obtain a comprehensive allosteric control over proteins but also provides an opportunity to approach the fragment-based design of allosteric effectors and drug candidates. The advantages of allosteric drugs over traditional orthosteric compounds, complemented by the emerging role of the allosteric effects of mutations in the expansion of the cancer mutational landscape and in the increased mutability of viral proteins, leave no choice besides further extensive studies of allosteric mechanisms and their biomedical implications.
虽然变构作用在蛋白质中普遍存在已被普遍接受,但我们通过分析 SARS-CoV-2 的跨膜离子通道 viroporin 3a 和 RNA 依赖性 RNA 聚合酶(RdRp)以及代谢酶柠檬酸合酶 1(IDH1)和富马酸水合酶(FH),进一步展示了变构机制的通用性质。这些酶与癌症有关。我们使用先前开发的基于结构的变构统计力学模型(SBSMMA),分享了我们在分析变构信号、预测潜在变构位点、诱导和调整靶向变构反应以及探索突变的变构效应方面的经验。这只是现象学的一个不完全列表,形成了蛋白质功能的复杂而独特的变构领域,应该进行彻底的探索。我们提出了一个通用的计算框架,不仅可以获得对蛋白质的全面变构控制,还为基于变构效应物和药物候选物的片段设计提供了机会。变构药物相对于传统的正构化合物的优势,以及突变的变构效应在癌症突变景观的扩展和病毒蛋白突变率的增加中的新兴作用,除了进一步广泛研究变构机制及其对生物医学的影响之外,别无选择。