Ayyildiz Merve, Celiker Serkan, Ozhelvaci Fatih, Akten E Demet
Graduate Program of Computational Biology and Bioinformatics, Graduate School of Science and Engineering, Kadir Has University, Istanbul, Turkey.
Graduate Program of Computational Science and Engineering, Graduate School of Science and Engineering, Bogazici University, Istanbul, Turkey.
Front Mol Biosci. 2020 May 14;7:88. doi: 10.3389/fmolb.2020.00088. eCollection 2020.
Three allosteric glycolytic enzymes, phosphofructokinase, glyceraldehyde-3 phosphate dehydrogenase and pyruvate kinase, associated with bacterial, parasitic and human species, were explored to identify potential allosteric sites that would be used as prime targets for species-specific drug design purposes using a newly developed approach which incorporates solvent mapping, elastic network modeling, sequence and structural alignments. The majority of binding sites detected by solvent mapping overlapped with the interface regions connecting the subunits, thus appeared as promising target sites for allosteric regulation. Each binding site was then evaluated by its ability to alter the global dynamics of the receptor defined by the percentage change in the frequencies of the lowest-frequency modes most significantly and as anticipated, the most effective ones were detected in the vicinity of the well-reported catalytic and allosteric sites. Furthermore, some of our proposed regions intersected with experimentally resolved sites which are known to be critical for activity regulation, which further validated our approach. Despite the high degree of structural conservation encountered between bacterial/parasitic and human glycolytic enzymes, the majority of the newly presented allosteric sites exhibited a low degree of sequence conservation which further increased their likelihood to be used as species-specific target regions for drug design studies.
利用一种新开发的方法,该方法结合了溶剂映射、弹性网络建模、序列和结构比对,对与细菌、寄生虫和人类物种相关的三种变构糖酵解酶(磷酸果糖激酶、甘油醛-3-磷酸脱氢酶和丙酮酸激酶)进行了探索,以确定潜在的变构位点,这些位点将被用作物种特异性药物设计的主要靶点。通过溶剂映射检测到的大多数结合位点与连接亚基的界面区域重叠,因此似乎是变构调节的有希望的靶点。然后通过其改变受体全局动力学的能力来评估每个结合位点,该能力由最低频率模式频率的百分比变化最显著地定义,并且正如预期的那样,在报道充分的催化位点和变构位点附近检测到了最有效的位点。此外,我们提出的一些区域与已知对活性调节至关重要的实验解析位点相交,这进一步验证了我们的方法。尽管在细菌/寄生虫和人类糖酵解酶之间遇到了高度的结构保守性,但大多数新发现的变构位点表现出低程度的序列保守性,这进一步增加了它们被用作药物设计研究中物种特异性靶区域的可能性。