Chauhan Milind, Gupta Amisha, Tomer Ritu, Raghava Gajendra P S
Department of Computational Biology, Indraprastha Institute of Information Technology, Okhla Phase 3, New Delhi 110020, India.
Database (Oxford). 2025 May 7;2025. doi: 10.1093/database/baaf030.
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(http://webs.iiitd.edu.in/raghava/cancerppd2/)是CancerPPD的更新版本,旨在保存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。这些抗癌肽已针对392种癌细胞系和28种癌症相关组织进行了测试。除了天然抗癌肽外,CancerPPD2还包含781个化学修饰的条目和3018个N-/C-末端修饰的抗癌肽条目。少数条目还与47项临床研究相关联,并提供了到Uniprot、DrugBank和ThPDB2的交叉引用。可能的条目也与临床试验相关。平均而言,CancerPPD2包含的信息比其先前版本CancerPPD多约85%。这些抗癌肽和蛋白质的结构要么从蛋白质数据库(PDB)获得,要么使用PEPstrMOD、I-TASSER和AlphaFold进行预测。CancerPPD2集成了多种工具用于数据检索和相似性搜索。此外,我们在这个存储库中集成了一个REST API,以便通过程序方便地自动检索数据。数据库网址:https://webs.iiitd.edu.in/raghava/cancerppd2/api/rest.html。