R Kunjulakshmi, Kumar Ambuj, Vinod Kumar Keerthana, Sengupta Avik, Kundal Kavita, Sharma Simran, Pawar Ankita, Krishna Pithani Sai, Alfatah Mohammad, Ray Sandipan, Tiwari Bhavana, Kumar Rahul
Department of Biotechnology, Indian Institute of Technology Hyderabad, Kandi, Telangana 502284, India.
Department of Biological Sciences, Indian Institute of Science Education and Research, Berhampur, Odisha 760010, India.
Database (Oxford). 2024 Mar 12;2024. doi: 10.1093/database/baae016.
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/.
衰老过程是生命中一个内在且不可避免的方面,会影响每一个生物体。随着生物技术的进步不断塑造我们对医学的理解,肽疗法已成为抗衰老干预的一种有前景的策略。这主要归功于它们的有利特性,如低免疫原性和经济高效的生产。基于肽的治疗方法在衰老研究中已获得广泛认可和关注,尤其是在与年龄相关的治疗背景下。为了有效地开发抗衰老治疗方法,全面了解抗衰老肽的物理化学特性至关重要。氨基酸组成、不稳定性指数、疏水区域等因素以及其他相关特性显著决定了它们作为潜在治疗剂的功效。因此,创建“AgingBase”这一抗衰老肽综合数据库,旨在通过利用肽疗法的潜力促进衰老研究。AgingBase收录了从54篇研究文章和236项专利中收集的282种经过实验验证的抗衰老肽。采用最先进的计算技术,对获取的序列进行了严格的物理化学计算。此外,AgingBase为用户提供各种信息分析,突出原子组成、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筛选选项以及相似性搜索,从而帮助研究人员了解它们的生物学功能。因此,该数据库能够在老年医学中高效识别潜在的肽候选物并对其进行优先级排序,在推进老年医学研究和创新方面具有巨大潜力。可无限制访问AgingBase。数据库网址:https://project.iith.ac.in/cgntlab/aagingbase/ 。