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通过计算机模拟研究预测榛子中人类二肽基肽酶-IV抑制剂的潜在前体。

In silico study to predict potential precursors of human dipeptidyl peptidase-IV inhibitors from hazelnut.

作者信息

Li Congcong, Qi Renrui, Yuan Jiawei, Han Lu, Wang Song, Li Wannan, Han Weiwei

机构信息

Key Laboratory for Molecular Enzymology and Engineering of Ministry of Education, School of Life Science, Jilin University, Changchun, China.

Laboratory of Theoretical and Computational Chemistry, Institute of Theoretical Chemistry, Jilin University, Changchun, China.

出版信息

J Biomol Struct Dyn. 2022;40(22):11664-11675. doi: 10.1080/07391102.2021.1961868. Epub 2021 Aug 5.

Abstract

Chinese hazelnut was chosen to become a probable precursor of biological active peptides via computer simulations in this article. There were a large number of bioactive peptides in Chinese hazelnut sequences according to analytical results from the BIOPEP database. The most prominent of these was the inhibitory peptide for dipeptidyl peptidase-IV (DPP-IV; EC 3.4.14.5), which can be used to treat type 2 diabetes, so the theoretical method to obtain DPP-IV inhibitory peptides by hydrolysis with a single or combination of enzymes was studied. Cytotoxicity analysis performed by ToxinPred showed that all of the DPP-IV inhibitory peptides generated from protein hydrolysis were not cytotoxic. Structural interaction fingerprint analysis revealed that Asp663 and Phe357 may be important residues for ligand binding. In order to further understand the inhibitory mechanism of peptide, VR with lowest half maximum inhibitory concentration (IC50) and IPI (inhibitors have been reported) were selected as ligand of DPP-IV to perform steered molecular dynamics simulations and PMF calculations. The results showed that P1 is the preferred (un)binding tunnel for the inhibitors obtained. Our findings help in the development of new DPP-IV inhibitors which were derived from common food.Communicated by Ramaswamy H. Sarma.

摘要

本文通过计算机模拟选择中国榛子作为生物活性肽的潜在前体。根据BIOPEP数据库的分析结果,中国榛子序列中存在大量生物活性肽。其中最突出的是二肽基肽酶-IV(DPP-IV;EC 3.4.14.5)抑制肽,可用于治疗2型糖尿病,因此研究了通过单一酶或酶组合水解获得DPP-IV抑制肽的理论方法。ToxinPred进行的细胞毒性分析表明,蛋白质水解产生的所有DPP-IV抑制肽均无细胞毒性。结构相互作用指纹分析表明,Asp663和Phe357可能是配体结合的重要残基。为了进一步了解肽的抑制机制,选择具有最低半数最大抑制浓度(IC50)的VR和IPI(已报道的抑制剂)作为DPP-IV的配体进行引导分子动力学模拟和PMF计算。结果表明,P1是所获得抑制剂的首选(非)结合通道。我们的研究结果有助于开发源自常见食物的新型DPP-IV抑制剂。由Ramaswamy H. Sarma传达。

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