| URL: | http://www.peptide-ligand.cn |
| Full name: | database of peptide ligand |
| Description: | DPL1.0 holds 1044 peptide ligand entries and provides references for the study of the polypeptide platform. |
| Year founded: | 2020 |
| Last update: | |
| Version: | |
| Accessibility: |
Accessible
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| Country/Region: | China |
| Data type: | |
| Data object: |
NA
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| Database category: | |
| Major species: |
NA
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| Keywords: |
| University/Institution: | Henan Agricultural University |
| Address: | |
| City: | |
| Province/State: | |
| Country/Region: | China |
| Contact name (PI/Team): | Gaiping Zhang |
| Contact email (PI/Helpdesk): | zhanggaiping2003@163.com |
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DPL: a comprehensive database on sequences, structures, sources and functions of peptide ligands. [PMID: 33216893]
DPL (http://www.peptide-ligand.cn/) is a comprehensive database of peptide ligand (DPL). DPL1.0 holds 1044 peptide ligand entries and provides references for the study of the polypeptide platform. The data were collected from PubMed-NCBI, PDB, APD3, CAMPR3, etc. The lengths of the base sequences are varied from 3 to78. DPL database has 923 linear peptides and 88 cyclic peptides. The functions of peptides collected by DPL are very wide. It includes 540 entries of antiviral peptides (including SARS-CoV-2), 55 entries of signal peptides, 48 entries of protease inhibitors, 45 entries of anti-hypertension, 37 entries of anticancer peptides, etc. There are 270 different kinds of peptide targets. All peptides in DPL have clear binding targets. Most of the peptides and receptors have 3D structures experimentally verified or predicted by CYCLOPS, I-TASSER and SWISS-MODEL. With the rapid development of the COVID-2019 epidemic, this database also collects the research progress of peptides against coronavirus. In conclusion, DPL is a unique resource, which allows users easily to explore the targets, different structures as well as properties of peptides. |