Literature DB >> 22467909

DADP: the database of anuran defense peptides.

Mario Novković1, Juraj Simunić, Viktor Bojović, Alessandro Tossi, Davor Juretić.   

Abstract

SUMMARY: Anuran tissues, and especially skin, are a rich source of bioactive peptides and their precursors. We here present a manually curated database of antimicrobial and other defense peptides with a total of 2571 entries, most of them in the precursor form with demarcated signal peptide (SP), acidic proregion(s) and bioactive moiety(s) corresponding to 1923 non-identical bioactive sequences. Search functions on the corresponding web server facilitate the extraction of six distinct SP classes. The more conserved of these can be used for searching cDNA and UniProtKB databases for potential bioactive peptides, for creating PROSITE search patterns, and for phylogenetic analysis.

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Year:  2012        PMID: 22467909     DOI: 10.1093/bioinformatics/bts141

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  46 in total

1.  Discovery of Next-Generation Antimicrobials through Bacterial Self-Screening of Surface-Displayed Peptide Libraries.

Authors:  Ashley T Tucker; Sean P Leonard; Cory D DuBois; Gregory A Knauf; Ashley L Cunningham; Claus O Wilke; M Stephen Trent; Bryan W Davies
Journal:  Cell       Date:  2018-01-04       Impact factor: 41.582

2.  dbAMP: an integrated resource for exploring antimicrobial peptides with functional activities and physicochemical properties on transcriptome and proteome data.

Authors:  Jhih-Hua Jhong; Yu-Hsiang Chi; Wen-Chi Li; Tsai-Hsuan Lin; Kai-Yao Huang; Tzong-Yi Lee
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

3.  Cloning the sterol carrier protein 2 genes of Japanese toad (Bufo japonicus formosus) and Chinese toad (Bufo gargarizans) and its tissue expression analysis.

Authors:  Yu-Cheng Ji; Hui Zhuge; Shan-Shan Zhang; Shu-Fang Zhang; Xian-Yu Yang
Journal:  Dongwuxue Yanjiu       Date:  2014-09

4.  Improved methods for classification, prediction, and design of antimicrobial peptides.

Authors:  Guangshun Wang
Journal:  Methods Mol Biol       Date:  2015

Review 5.  Deep generative models for peptide design.

Authors:  Fangping Wan; Daphne Kontogiorgos-Heintz; Cesar de la Fuente-Nunez
Journal:  Digit Discov       Date:  2022-03-31

Review 6.  Synthetic Biology and Computer-Based Frameworks for Antimicrobial Peptide Discovery.

Authors:  Marcelo D T Torres; Jicong Cao; Octavio L Franco; Timothy K Lu; Cesar de la Fuente-Nunez
Journal:  ACS Nano       Date:  2021-02-04       Impact factor: 15.881

Review 7.  Large-scale comparative review and assessment of computational methods for anti-cancer peptide identification.

Authors:  Xiao Liang; Fuyi Li; Jinxiang Chen; Junlong Li; Hao Wu; Shuqin Li; Jiangning Song; Quanzhong Liu
Journal:  Brief Bioinform       Date:  2021-07-20       Impact factor: 11.622

8.  LAMP: A Database Linking Antimicrobial Peptides.

Authors:  Xiaowei Zhao; Hongyu Wu; Hairong Lu; Guodong Li; Qingshan Huang
Journal:  PLoS One       Date:  2013-06-18       Impact factor: 3.240

9.  Unveiling Putative Functions of Mucus Proteins and Their Tryptic Peptides in Seven Gastropod Species Using Comparative Proteomics and Machine Learning-Based Bioinformatics Predictions.

Authors:  Viroj Tachapuripunya; Sittiruk Roytrakul; Pramote Chumnanpuen; Teerasak E-Kobon
Journal:  Molecules       Date:  2021-06-07       Impact factor: 4.411

Review 10.  The multifaceted nature of antimicrobial peptides: current synthetic chemistry approaches and future directions.

Authors:  Bee Ha Gan; Josephine Gaynord; Sam M Rowe; Tomas Deingruber; David R Spring
Journal:  Chem Soc Rev       Date:  2021-07-05       Impact factor: 54.564

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