DPL: a comprehensive database on sequences, structures, sources and functions of peptide ligands
文献类型： 外文期刊
作者： Wang, Fangyu 1 ; Li, Ning 2 ; Wang, Chunfeng 3 ; Xing, Guangxu 1 ; Cao, Shuai 2 ; Xu, Qian 1 ; Zhang, Yunshang 1 ; Hu, Ma 1 ;
作者机构： 1.Henan Acad Agr Sci, Henan Key Lab Anim Immunol, 116 Huayuan Rd, Zhengzhou 450002, Henan, Peoples R China
2.Henan Agr Univ, Coll Food Sci & Technol, 63 Agr Rd, Zhengzhou 450000, Henan, Peoples R China
3.Zhengzhou Univ, Affiliated Hosp 1, Dept Gastroenterol, 1 Mianfang St, Zhengzhou 450052, Henan, Peoples R China
期刊名称：DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION （ 影响因子：3.451； 五年影响因子：4.159 ）
ISSN： 1758-0463
年卷期： 2020 年
页码：
收录情况： SCI
摘要： DPL (http://www.eptide-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.
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