Okeke Chiamaka Jessica, Musyoka Thommas Mutemi, Sheik Amamuddy Olivier, Barozi Victor, Tastan Bishop Özlem
Research Unit in Bioinformatics (RUBi), Department of Biochemistry and Microbiology, Rhodes University, Makhanda 6140, South Africa.
Comput Struct Biotechnol J. 2021 Oct 8;19:5647-5666. doi: 10.1016/j.csbj.2021.10.011. eCollection 2021.
Continually emerging resistant strains of malarial parasites to current drugs present challenges. Understanding the underlying resistance mechanisms, especially those linked to allostery is, thus, highly crucial for drug design. This forms the main concern of the paper through a case study of falcipain 2 (FP-2) and its mutations, some of which are linked to artemisinin (ART) drug resistance. Here, we applied a variety of approaches and tools that we developed recently, together with existing computational tools. This included novel essential dynamics and dynamic residue network (DRN) analysis algorithms. We identified six pockets demonstrating dynamic differences in the presence of some mutations. We observed striking allosteric effects in two mutant proteins. In the presence of M245I, a cryptic pocket was detected via a unique mechanism in which Pocket 2 fused with Pocket 6. In the presence of the A353T mutation, which is located at Pocket 2, the pocket became the most rigid among all protein systems analyzed. Pocket 6 was also highly stable in all cases, except in the presence of M245I mutation. The effect of ART linked mutations was more subtle, and the changes were at residue level. Importantly, we identified an allosteric communication path formed by four unique averaged hubs going from the mutated residue to the catalytic site and passing through the interface of three identified pockets. Collectively, we established and demonstrated that we have robust tools and a pipeline that can be applicable to the analysis of mutations.
疟原虫对现有药物不断出现的耐药菌株带来了挑战。因此,了解潜在的耐药机制,尤其是那些与变构相关的机制,对于药物设计至关重要。通过对疟原虫蛋白酶2(FP - 2)及其突变的案例研究,这构成了本文的主要关注点,其中一些突变与青蒿素(ART)耐药性有关。在这里,我们应用了我们最近开发的各种方法和工具,以及现有的计算工具。这包括新颖的主成分动力学和动态残基网络(DRN)分析算法。我们确定了六个口袋,这些口袋在某些突变存在时表现出动态差异。我们在两种突变蛋白中观察到了显著的变构效应。在存在M245I的情况下,通过一种独特的机制检测到一个隐秘口袋,其中口袋2与口袋6融合。在位于口袋2的A353T突变存在时,该口袋在所有分析的蛋白质系统中变得最刚性。除了存在M245I突变的情况外(口袋6在所有情况下也高度稳定)。与青蒿素相关的突变的影响更为微妙,变化发生在残基水平。重要的是,我们确定了一条变构通讯路径,该路径由四个独特的平均枢纽形成,从突变残基通向催化位点,并穿过三个已识别口袋的界面。总体而言,我们建立并证明了我们拥有强大的工具和流程,可应用于突变分析。