PeptiHub:一个精确注释的癌症相关多肽库,具有先进的多肽探索和发现工具。

IF 3.4 4区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY Database: The Journal of Biological Databases and Curation Pub Date : 2024-09-20 DOI:10.1093/database/baae092
Sara Zareei, Babak Khorsand, Alireza Dantism, Neda Zareei, Fereshteh Asgharzadeh, Shadi Shams Zahraee, Samane Mashreghi Kashan, Shirin Hekmatirad, Shila Amini, Fatemeh Ghasemi, Maryam Moradnia, Atena Vaghf, Anahid Hemmatpour, Hamdam Hourfar, Soudabeh Niknia, Ali Johari, Fatemeh Salimi, Neda Fariborzi, Zohreh Shojaei, Elaheh Asiaei, Hossein Shabani
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引用次数: 0

摘要

Peptihub (https://bioinformaticscollege.ir/peptihub/) 是一个经过精心整理的科学文献中记载的癌症相关肽 (CRP) 的资料库。PeptiHub 收录了各种 CRP,展示了各种效应和活性。有些肽具有显著的抗癌功效,有些则没有明显的影响,有些甚至具有其他非药物功能,包括药物载体或致癌特性。目前,Peptihub 收录了 874 种 CRP,对 10 个不同生物类别、26 个器官和 438 个细胞系进行了评估。数据库中的每个条目都附有易于访问的三维构象,这些构象是通过实验或预测方法获得的。用户可使用三种搜索框架,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能够根据其特定活性(抗癌、无作用、作用不明显、致癌等)及其在癌症条件下的有效性(速率和 IC50)来探索 CRP,特别是在各个器官中。这一独特特性有助于构建强大的训练和测试数据集。此外,PeptiHub 还提供 1141 种功能,方便用户选择最相关的功能来解决特定的研究问题。特征包括 aaindex1(分为六大子类:α倾向性、β倾向性、组成指数、疏水性、理化性质和其他性质)、氨基酸组成(氨基酸组成和二肽组成)和成组氨基酸组成(成组氨基酸组成、成组二肽组成和联合三元组)类别。这些工具不仅能加快基于机器学习的多肽设计,还能促进多肽分类。数据库网址:https://bioinformaticscollege.ir/peptihub/.
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PeptiHub: a curated repository of precisely annotated cancer-related peptides with advanced utilities for peptide exploration and discovery.

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/.

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来源期刊
Database: The Journal of Biological Databases and Curation
Database: The Journal of Biological Databases and Curation MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
9.00
自引率
3.40%
发文量
100
审稿时长
>12 weeks
期刊介绍: Huge volumes of primary data are archived in numerous open-access databases, and with new generation technologies becoming more common in laboratories, large datasets will become even more prevalent. The archiving, curation, analysis and interpretation of all of these data are a challenge. Database development and biocuration are at the forefront of the endeavor to make sense of this mounting deluge of data. Database: The Journal of Biological Databases and Curation provides an open access platform for the presentation of novel ideas in database research and biocuration, and aims to help strengthen the bridge between database developers, curators, and users.
期刊最新文献
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