CancerPPD2: an updated repository of anticancer peptides and proteins.

IF 3.4 4区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Milind Chauhan, Amisha Gupta, Ritu Tomer, Gajendra P S Raghava
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引用次数: 0

Abstract

CancerPPD2 (http://webs.iiitd.edu.in/raghava/cancerppd2/) is an updated version of CancerPPD, developed to maintain comprehensive information about anticancer peptides and proteins. It contains 6521 entries, each entry provides detailed information about an anticancer peptide/protein that include origin of the peptide, cancer cell line, type of cancer, peptide sequence, and structure. These anticancer peptides have been tested against 392 types of cancer cell lines and 28 types of cancer-associated tissues. In addition to natural anticancer peptides, CancerPPD2 contains 781 entries for chemically modified and 3018 entries for N-/C- terminus modified anticancer peptides. Few entries are also linked with 47 clinical studies and have provided the cross reference to Uniprot, DrugBank, and ThPDB2. The possible entries also linked with clinical trials. On average, CancerPPD2 contains around 85% more information than its previous version, CancerPPD. The structures of these anticancer peptides and proteins were either obtained from the Protein Data Bank (PDB) or predicted using PEPstrMOD, I-TASSER, and AlphaFold. A wide range of tools have been integrated into CancerPPD2 for data retrieval and similarity searches. Additionally, we integrated a REST API into this repository to facilitate automatic data retrieval via program. Database URL: https://webs.iiitd.edu.in/raghava/cancerppd2/api/rest.html.

CancerPPD2:抗癌肽和蛋白质的更新库。
CancerPPD2 (http://webs.iiitd.edu.in/raghava/cancerppd2/)是CancerPPD的更新版本,旨在维护有关抗癌肽和蛋白质的全面信息。它包含6521个条目,每个条目提供有关抗癌肽/蛋白质的详细信息,包括肽的来源、癌细胞系、癌症类型、肽序列和结构。这些抗癌肽已经对392种癌细胞系和28种癌症相关组织进行了测试。除天然抗癌肽外,CancerPPD2含有781个化学修饰的片段和3018个N /C末端修饰的抗癌肽片段。少数条目还与47项临床研究相关联,并为Uniprot、DrugBank和ThPDB2提供了交叉参考。可能的条目还与临床试验有关。平均而言,CancerPPD2比之前的版本CancerPPD多包含约85%的信息。这些抗癌肽和蛋白质的结构要么从蛋白质数据库(PDB)中获得,要么使用PEPstrMOD、I-TASSER和AlphaFold预测。CancerPPD2中集成了多种工具,用于数据检索和相似性搜索。此外,我们将一个REST API集成到这个存储库中,以方便通过程序自动检索数据。数据库地址:https://webs.iiitd.edu.in/raghava/cancerppd2/api/rest.html。
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
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.
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