Al-Amri Manal S Q, Alrasadi Khalid, Bayoumi Riad, Banerjee Yajnavalka
Department of Biochemistry, College of Medicine and Health Sciences, Sultan Qaboos University, Muscat, Oman;
Sultan Qaboos Univ Med J. 2011 Feb;11(1):83-94. Epub 2011 Feb 12.
The coagulation cascade initiated during vascular injury prevents bleeding. Unwanted clot formation is however detrimental and requires the use of anticoagulants for prophylaxis and treatment. Anticoagulants targeting a specific step or an enzyme in the clotting process are most preferred as they minimise disadvantageous side-effects. A principal step in the discovery of novel anticoagulants encompasses the in silico design of potential leads. This study depicts the in silico design of peptide anticoagulants targeting coagulation factor VIIa.
APPLYING THE PROLINE BRACKET RULE AND USING VARIOUS BIOINFORMATICS TOOLS: the basic alignment search tool (BLAST) of National Center for Biotechnology Information; the T-coffee module provided by European Molecular Biology Laboratory-European Bioinformatics Institute, and several modules available on the ExPASy server, we designed five bivalent chimeric anticoagulants targeting factor VIIa, using factor VIIa inhibitors - hemextin A from Hemachatus haemachatus (African Ringhals cobra) venom and factor VIIa exosite-inhibitor peptide as templates. Six peptides were derived from hemextin A, which were concomitantly fused with factor VIIa exosite-inhibitor peptide intermediated by a polyalanine spacer, and analysed for structural stability using the SWISS-MODEL software developed at the Swiss Institute of Bioinformatics and WebLab ViewerPro (Version 4.2).
Twelve chimeric peptides were obtained; only five exhibited stable structures in silico.
The five peptides obtained are probable anticoagulant leads that should be further evaluated using suitable in vitro and in vivo assays. Further, this study shows how simple web-based modules can be used for the rational design of probable leads targeting specific physiological molecular targets.
血管损伤时启动的凝血级联反应可防止出血。然而,不必要的血栓形成是有害的,需要使用抗凝剂进行预防和治疗。最优选靶向凝血过程中特定步骤或酶的抗凝剂,因为它们可将不利的副作用降至最低。发现新型抗凝剂的一个主要步骤包括潜在先导物的计算机辅助设计。本研究描述了靶向凝血因子VIIa的肽类抗凝剂的计算机辅助设计。
应用脯氨酸括号规则并使用各种生物信息学工具:美国国立生物技术信息中心的基本序列比对搜索工具(BLAST);欧洲分子生物学实验室-欧洲生物信息学研究所提供的T-咖啡模块,以及ExPASy服务器上可用的几个模块,我们以凝血因子VIIa抑制剂——来自非洲环颈射毒眼镜蛇毒液的hemextin A和凝血因子VIIa外位点抑制剂肽为模板,设计了五种靶向因子VIIa的二价嵌合抗凝剂。从hemextin A衍生出六种肽,它们通过聚丙氨酸间隔物与凝血因子VIIa外位点抑制剂肽融合,并使用瑞士生物信息学研究所开发的SWISS-MODEL软件和WebLab ViewerPro(4.2版)分析其结构稳定性。
获得了12种嵌合肽;只有5种在计算机模拟中表现出稳定的结构。
获得的这五种肽可能是抗凝先导物,应使用合适的体外和体内试验进一步评估。此外,本研究展示了如何使用简单的基于网络的模块对靶向特定生理分子靶点的可能先导物进行合理设计。