Collection of antimicrobial peptides database and its derivatives: Applications and beyond. (30th September 2019)

• Record Type: Journal Article
• Authors: Waghu, Faiza Hanif; Idicula‐Thomas, Susan
• Is Part Of: Protein science. Volume 29:Number 1(2020)
• Page Start: 36
• Page End: 42
• Publication Date: 2019-09-30
• Subjects: antimicrobial peptides -- CAMP database -- CAMPSign -- ClassAMP -- family‐specific signatures -- machine learning; Proteins -- Periodicals; 572.6
• DOI: 10.1002/pro.3714
• Languages: English
• ISSNs: 0961-8368

Abstract

Abstract: Collection of antimicrobial peptides (CAMP), CAMPSign, and ClassAMP are open‐access resources that have been developed to enhance research on antimicrobial peptides (AMPs). Comprehensive information on AMPs and machine learning‐based predictive models are made available for users through these resources. As of date, CAMPR3 has 10, 247 sequences, 757 structures, and 114 family‐specific signatures of AMPs along with associated tools for AMP sequence and structure analysis. CAMPSign uses family‐specific sequence conservation, in the form of patterns and hidden Markov models for identification of AMPs. ClassAMP can be used to classify AMPs as antibacterial, antifungal, or antiviral based on sequence information. Here we describe CAMP and its derivatives and illustrate, with a few examples, the contribution of these online resources to the advancement of our current understanding of AMPs.