Russian Academy of Sciences, St. Petersburg Institute for Informatics and Automation, Saint Petersburg, Russia.
J Mol Neurosci. 2010 Jun;41(2):294-303. doi: 10.1007/s12031-009-9313-5. Epub 2009 Dec 4.
Based on a mathematical approach, we deduce a set of triplet homologies that may be responsible for receptor-receptor interactions. We show how such triplets of amino acid residues and their 'teams' may be utilized to construct a kind of code that determines (and/or predicts) which receptors should or should not form heterodimers. Based on the obtained results, we propose a 'guide-and-clasp' manner for receptor-receptor interactions where 'adhesive guides' might be the triplet homologies. We also demonstrate their relevance to protein-protein interactions and mention possible implications for novel pharmacological targets and strategies for treatment of diseases, e.g. neuroinflammatory diseases.
基于数学方法,我们推导出了一组可能负责受体-受体相互作用的三联体同源性。我们展示了如何利用这样的氨基酸残基三联体及其“团队”来构建一种决定(和/或预测)哪些受体应该或不应该形成异二聚体的代码。基于所获得的结果,我们提出了一种受体-受体相互作用的“引导和扣合”方式,其中“粘性引导物”可能是三联体同源性。我们还证明了它们与蛋白质-蛋白质相互作用的相关性,并提到了它们对新型药理学靶点和治疗疾病策略的可能影响,例如神经炎症性疾病。