Department of Cell & Molecular Biology, Faculty of Biological Sciences, Kharazmi University, South Mofateh Ave. , Tehran 15719-14911, Iran.
Department of Neurology, University of California, 200 S. Manchester Ave., Suite 206 Orange, Irvine, CA 92868-4280, USA.
Database (Oxford). 2024 Sep 20;2024. doi: 10.1093/database/baae092.
Peptihub (https://bioinformaticscollege.ir/peptihub/) is a meticulously curated repository of cancer-related peptides (CRPs) that have been documented in scientific literature. A diverse collection of CRPs is included in the PeptiHub, showcasing a spectrum of effects and activities. While some peptides demonstrated significant anticancer efficacy, others exhibited no discernible impact, and some even possessed alternative non-drug functionalities, including drug carrier or carcinogenic attributes. Presently, Peptihub houses 874 CRPs, subjected to evaluation across 10 distinct organism categories, 26 organs, and 438 cell lines. Each entry in the database is accompanied by easily accessible 3D conformations, obtained either experimentally or through predictive methodology. Users are provided with three search frameworks offering basic, advanced, and BLAST sequence search options. Furthermore, precise annotations of peptides enable users to explore CRPs based on their specific activities (anticancer, no effect, insignificant effect, carcinogen, and others) and their effectiveness (rate and IC50) under cancer conditions, specifically within individual organs. This unique property facilitates the construction of robust training and testing datasets. Additionally, PeptiHub offers 1141 features with the convenience of selecting the most pertinent features to address their specific research questions. Features include aaindex1 (in six main subcategories: alpha propensities, beta propensity, composition indices, hydrophobicity, physicochemical properties, and other properties), amino acid composition (Amino acid Composition and Dipeptide Composition), and Grouped Amino Acid Composition (Grouped amino acid composition, Grouped dipeptide composition, and Conjoint triad) categories. These utilities not only speed up machine learning-based peptide design but also facilitate peptide classification. Database URL: https://bioinformaticscollege.ir/peptihub/.
Peptihub(https://bioinformaticscollege.ir/peptihub/)是一个精心策划的癌症相关肽(CRPs)知识库,这些肽已在科学文献中记录。PeptiHub 中包含了各种类型的 CRPs,展示了它们的广泛影响和活动。虽然一些肽表现出显著的抗癌效果,但其他肽则没有明显的影响,还有一些肽甚至具有替代非药物功能,包括药物载体或致癌属性。目前,Peptihub 拥有 874 种 CRPs,这些肽经过 10 个不同的生物体系类别、26 个器官和 438 种细胞系的评估。数据库中的每个条目都附有易于访问的 3D 构象,这些构象是通过实验或预测方法获得的。用户可以使用三个搜索框架提供基本、高级和 BLAST 序列搜索选项。此外,肽的精确注释使用户可以根据它们的特定活动(抗癌、无效果、无显著效果、致癌和其他)和它们在癌症条件下的有效性(速率和 IC50)来探索 CRPs,特别是在单个器官内。这种独特的特性有助于构建强大的训练和测试数据集。此外,PeptiHub 提供了 1141 个特征,用户可以方便地选择最相关的特征来解决他们的具体研究问题。特征包括 aaindex1(分为六个主要子类:alpha 倾向、beta 倾向、组成指数、疏水性、物理化学性质和其他性质)、氨基酸组成(氨基酸组成和二肽组成)和分组氨基酸组成(分组氨基酸组成、分组二肽组成和联合三联体)类别。这些工具不仅加速了基于机器学习的肽设计,而且促进了肽的分类。数据库网址:https://bioinformaticscollege.ir/peptihub/。