Unveiling Prospective Therapeutic Potential of Conserved Hypothetical Plasmodium falciparum Proteins by Using Integrated Proteo Genomic Annotation and In-Silico Therapeutic Discovery Approach.

Mamta Panda, Varshita Srivastava, Satyendra Singh, Dhaneswar Prusty
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Abstract

The increasing incidence of malaria and the emergence of drug-resistant strains highlight the critical need for new therapeutic targets. A recent study employing saturation mutagenesis has identified several essential, conserved genes in Plasmodium falciparum that code for proteins with unknown functions, presenting potential new avenues for therapeutic intervention. We hypothesized that these essential conserved hypothetical proteins could be functionally annotated with therapeutic relevance using an in-silico framework. However, a comprehensive framework for the functional annotation and classification of potential drug and vaccine candidates using in-silico tools has not been well established. While approaches like proteomics, subtractive genomics, and transcriptomics offer valuable insights, their isolated application limits the thorough functional annotation of proteins, and many studies do not explore therapeutic potential fully. To address these gaps, we developed the Integrated ProteoGenomic Annotation Framework (IPGAF), an in-silico protocol designed to annotate hypothetical proteins and screen them for druggability and antigenicity. Our IPGAF framework employs a two-step methodology. The first step focuses on functional annotation, integrating Pfam score-based domain analysis, orthology inference for evolutionary insights, functional linkage evaluation, subcellular localization prediction, domain architecture identification, and protein-protein interaction analysis. The second step assesses the potential of these proteins as drug targets or vaccine candidates through physicochemical and virulence evaluation, antigenicity prediction, identification of non-homologous proteins relative to the human proteome, druggability prediction, molecular docking studies, and the identification of multiple immunogenic regions (B cell, T cell, HLA) for multiepitope vaccine design. Using the IPGAF framework, we annotated 14 conserved hypothetical P. falciparum proteins from an initial set of 44. Among them, PF3D7_1208100, a merozoite protein, emerged as a promising drug and vaccine target, while PF3D7_0703900 and PF3D7_0916400 showed strong druggability potential. Our vaccine study identified the VC6 construct, incorporating epitopes from PF3D7_1223500, PF3D7_1348400, PF3D7_1470100, and PF3D7_1208100, as the most promising candidate due to its high antigenicity, non-allergenicity, and favourable physicochemical properties. Further in vitro validation could confirm the therapeutic potential of these proteins.

利用集成的蛋白质基因组注释和计算机治疗发现方法揭示保守的假设恶性疟原虫蛋白的前瞻性治疗潜力。
疟疾发病率的增加和耐药菌株的出现突出表明迫切需要新的治疗靶点。最近一项采用饱和诱变技术的研究发现了恶性疟原虫中几个重要的保守基因,这些基因编码功能未知的蛋白质,为治疗干预提供了潜在的新途径。我们假设这些基本保守的假设蛋白可以使用芯片框架进行功能注释,并具有治疗相关性。然而,使用计算机工具对潜在药物和候选疫苗进行功能注释和分类的综合框架尚未很好地建立起来。虽然蛋白质组学、减法基因组学和转录组学等方法提供了有价值的见解,但它们的孤立应用限制了对蛋白质的全面功能注释,并且许多研究没有充分探索治疗潜力。为了解决这些空白,我们开发了集成蛋白质基因组注释框架(IPGAF),这是一种旨在注释假设蛋白质并筛选其药物性和抗原性的硅协议。我们的IPGAF框架采用两步方法。第一步重点是功能注释,整合基于Pfam评分的结构域分析、进化见解的同源推断、功能链接评估、亚细胞定位预测、结构域结构识别和蛋白质-蛋白质相互作用分析。第二步评估这些蛋白作为药物靶点或候选疫苗的潜力,通过物理化学和毒力评估、抗原性预测、相对于人类蛋白质组的非同源蛋白鉴定、药物预测、分子对接研究以及用于多表位疫苗设计的多个免疫原区(B细胞、T细胞、HLA)鉴定。使用IPGAF框架,我们从最初的44个假设的恶性疟原虫蛋白集中注释了14个保守的假设的恶性疟原虫蛋白。其中,分生子蛋白PF3D7_1208100作为一种有前景的药物和疫苗靶点,PF3D7_0703900和PF3D7_0916400表现出较强的药物潜力。我们的疫苗研究确定了包含PF3D7_1223500、PF3D7_1348400、PF3D7_1470100和PF3D7_1208100表位的VC6结构,由于其高抗原性、非过敏原性和良好的物理化学性质,它是最有希望的候选者。进一步的体外验证可以证实这些蛋白的治疗潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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