AagingBase: a comprehensive database of anti-aging peptides.

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Kunjulakshmi R, Ambuj Kumar, Keerthana Vinod Kumar, Avik Sengupta, Kavita Kundal, Simran Sharma, Ankita Pawar, Pithani Sai Krishna, Mohammad Alfatah, Sandipan Ray, Bhavana Tiwari, Rahul Kumar
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Abstract

The process of aging is an intrinsic and inevitable aspect of life that impacts every living organism. As biotechnological advancements continue to shape our understanding of medicine, peptide therapeutics have emerged as a promising strategy for anti-aging interventions. This is primarily due to their favorable attributes, such as low immunogenicity and cost-effective production. Peptide-based treatments have garnered widespread acceptance and interest in aging research, particularly in the context of age-related therapies. To effectively develop anti-aging treatments, a comprehensive understanding of the physicochemical characteristics of anti-aging peptides is essential. Factors such as amino acid composition, instability index, hydrophobic areas and other relevant properties significantly determine their efficacy as potential therapeutic agents. Consequently, the creation of 'AagingBase', a comprehensive database for anti-aging peptides, aims to facilitate research on aging by leveraging the potential of peptide therapies. AagingBase houses experimentally validated 282 anti-aging peptides collected from 54 research articles and 236 patents. Employing state-of-the-art computational techniques, the acquired sequences have undergone rigorous physicochemical calculations. Furthermore, AagingBase presents users with various informative analyses highlighting atomic compositions, secondary structure fractions, tertiary structure, amino acid compositions and frequencies. The database also offers advanced search and filtering options and similarity search, thereby aiding researchers in understanding their biological functions. Hence, the database enables efficient identification and prioritization of potential peptide candidates in geriatric medicine and holds immense potential for advancing geriatric medicine research and innovations. AagingBase can be accessed without any restriction. Database URL: https://project.iith.ac.in/cgntlab/aagingbase/.

AagingBase:抗衰老肽综合数据库。
衰老过程是生命固有的、不可避免的方面,影响着每一个生物体。随着生物技术的不断进步,我们对医学的理解也在不断加深,多肽疗法已成为一种前景广阔的抗衰老干预策略。这主要是由于多肽具有免疫原性低、生产成本低廉等优点。基于肽的疗法在老龄化研究中,尤其是在与年龄相关的疗法方面,已获得了广泛的认可和兴趣。要有效开发抗衰老疗法,就必须全面了解抗衰老肽的理化特性。氨基酸组成、不稳定指数、疏水区域和其他相关特性等因素在很大程度上决定了它们作为潜在治疗剂的功效。因此,建立抗衰老肽综合数据库 "AagingBase "的目的是通过利用肽疗法的潜力促进衰老研究。AagingBase 收录了从 54 篇研究文章和 236 项专利中收集并经实验验证的 282 种抗衰老肽。采用最先进的计算技术,对所获得的序列进行了严格的物理化学计算。此外,AagingBase 还为用户提供各种信息分析,包括原子组成、二级结构分数、三级结构、氨基酸组成和频率。该数据库还提供高级搜索和过滤选项以及相似性搜索,从而帮助研究人员了解其生物功能。因此,该数据库能有效识别和优先处理老年医学中潜在的候选多肽,在推动老年医学研究和创新方面具有巨大潜力。访问 AagingBase 不受限制。数据库网址:https://project.iith.ac.in/cgntlab/aagingbase/.
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
CiteScore
7.20
自引率
4.30%
发文量
567
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