Literature DB >> 29529902

BioPepDB: an integrated data platform for food-derived bioactive peptides.

Qilin Li1, Chao Zhang2, Hongjun Chen1, Jitong Xue1, Xiaolei Guo2, Ming Liang2, Ming Chen1.   

Abstract

Food-derived bioactive peptides play critical roles in regulating most biological processes and have considerable biological, medical and industrial importance. However, a large number of active peptides data, including sequence, function, source, commercial product information, references and other information are poorly integrated. BioPepDB is a searchable database of food-derived bioactive peptides and their related articles, including more than four thousand bioactive peptide entries. Moreover, BioPepDB provides modules of prediction and hydrolysis-simulation for discovering novel peptides. It can serve as a reference database to investigate the function of different bioactive peptides. BioPepDB is available at http://bis.zju.edu.cn/biopepdbr/ . The web page utilises Apache, PHP5 and MySQL to provide the user interface for accessing the database and predict novel peptides. The database itself is operated on a specialised server.

Keywords:  Bioactive peptide; database; hydrolysis simulation; sequence prediction

Mesh:

Substances:

Year:  2018        PMID: 29529902     DOI: 10.1080/09637486.2018.1446916

Source DB:  PubMed          Journal:  Int J Food Sci Nutr        ISSN: 0963-7486            Impact factor:   3.833


  10 in total

1.  MPMABP: A CNN and Bi-LSTM-Based Method for Predicting Multi-Activities of Bioactive Peptides.

Authors:  You Li; Xueyong Li; Yuewu Liu; Yuhua Yao; Guohua Huang
Journal:  Pharmaceuticals (Basel)       Date:  2022-06-03

2.  AntiDMPpred: a web service for identifying anti-diabetic peptides.

Authors:  Xue Chen; Jian Huang; Bifang He
Journal:  PeerJ       Date:  2022-06-14       Impact factor: 3.061

3.  BIOPEP-UWM Database of Bioactive Peptides: Current Opportunities.

Authors:  Piotr Minkiewicz; Anna Iwaniak; Małgorzata Darewicz
Journal:  Int J Mol Sci       Date:  2019-11-27       Impact factor: 5.923

4.  Use of α-Lactalbumin and Caseinoglycomacropeptide as Biopeptide Precursors and as Functional Additives in Milk Beverages Fermented by L. helveticus.

Authors:  Katarzyna Skrzypczak; Emilia Fornal; Dorota Domagała; Waldemar Gustaw; Ewa Jabłońska-Ryś; Aneta Sławińska; Wojciech Radzki; Anna Kononiuk; Adam Waśko
Journal:  Int J Food Sci       Date:  2021-04-13

5.  Bioinformatic Prediction and Characterization of Proteins in Porphyra dentata by Shotgun Proteomics.

Authors:  Mingchang Yang; Lizhen Ma; Xianqing Yang; Laihao Li; Shengjun Chen; Bo Qi; Yueqi Wang; Chunsheng Li; Shaoling Yang; Yongqiang Zhao
Journal:  Front Nutr       Date:  2022-07-07

6.  Molecular characterization of sequence-driven peptide glycation.

Authors:  Michelle T Berger; Daniel Hemmler; Alesia Walker; Michael Rychlik; James W Marshall; Philippe Schmitt-Kopplin
Journal:  Sci Rep       Date:  2021-06-24       Impact factor: 4.379

7.  Characterization of the Jumbo Squid (Dosidicus gigas) Skin By-Product by Shotgun Proteomics and Protein-Based Bioinformatics.

Authors:  Mónica Carrera; Josafat Marina Ezquerra-Brauer; Santiago P Aubourg
Journal:  Mar Drugs       Date:  2019-12-29       Impact factor: 5.118

8.  BioDADPep: A Bioinformatics database for anti diabetic peptides.

Authors:  Susanta Roy; Robindra Teron
Journal:  Bioinformation       Date:  2019-11-13

9.  A Novel Machine Learning Strategy for the Prediction of Antihypertensive Peptides Derived from Food with High Efficiency.

Authors:  Liyang Wang; Dantong Niu; Xiaoya Wang; Jabir Khan; Qun Shen; Yong Xue
Journal:  Foods       Date:  2021-03-06

Review 10.  Natural Peptides Inducing Cancer Cell Death: Mechanisms and Properties of Specific Candidates for Cancer Therapeutics.

Authors:  Plinio A Trinidad-Calderón; Carlos Daniel Varela-Chinchilla; Silverio García-Lara
Journal:  Molecules       Date:  2021-12-09       Impact factor: 4.411

  10 in total

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