A Review of the in Silico Design and Development Approaches of Ras-Specific Anticancer Therapeutics

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Parinaz Motiei, Hamid Reza Heidari, Mohammad Saeid Hejazi, Ommoleila Molavi, Elnaz Mehdizadeh Aghdam
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Abstract

Ras Proteins, play a pivotal role in the proliferation pathways, and Ras mutant forms are well-established cancer drivers. Ras mutations are found in about 30% of all human cancers widely known as challenging diseases to control and treat. The direct inhibition of Ras is challenging and makes Ras an “undruggable” target for many years. The important reason is, that Ras protein has a unique smooth surface and shows different dynamicity upon binding GDP and GTP. As a result, interfering peptides (IPs) targeting the Ras family protein-protein interactions (PPIs) are considered more likely to bind Ras effectively and inhibit the downstream signaling. In this review, we aimed to cover the recent approaches to design the peptides that target Ras family proteins, focusing on in silico methods. In this regard, the anti-cancer peptide development approaches including design and delivery strategies are discussed. Later, more specific methods regarding Ras-specific peptide design are presented. In conclusion, IPs are a promising group of cancer therapeutics to combat Ras mutant cancers. For future perspectives to have these peptides in clinical use, co-inhibition of other cancer targets as well as improving the pharmacokinetic features of peptides are suggested.

Abstract Image

ras特异性抗癌药物的芯片设计与开发方法综述
Ras蛋白在增殖途径中起着关键作用,Ras突变形式是公认的癌症驱动因素。在大约30%的人类癌症中发现了Ras突变,这些癌症被广泛认为是难以控制和治疗的疾病。直接抑制Ras具有挑战性,使Ras成为多年来“不可药物”的靶点。重要的原因是Ras蛋白具有独特的光滑表面,在结合GDP和GTP时表现出不同的动态性。因此,靶向Ras家族蛋白-蛋白相互作用(PPIs)的干扰肽(IPs)被认为更有可能有效地结合Ras并抑制下游信号传导。在这篇综述中,我们的目的是涵盖最近的方法来设计靶向Ras家族蛋白的肽,重点是在计算机方法。在这方面,讨论了抗癌肽的开发方法,包括设计和递送策略。随后,提出了更具体的ras特异性肽设计方法。总之,IPs是一种很有前途的治疗Ras突变癌症的药物。对于这些肽在临床应用的未来前景,建议共同抑制其他癌症靶点以及改善肽的药代动力学特征。
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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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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