Journal
NUCLEIC ACIDS RESEARCH
Volume 51, Issue D1, Pages D377-D383Publisher
OXFORD UNIV PRESS
DOI: 10.1093/nar/gkac933
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There has been a significant increase in the design of synthetic antimicrobial peptides (AMPs) as novel antibiotics. The latest version of the CAMP database (R4) provides separate prediction algorithms for natural and synthetic AMPs, along with a comprehensive database of AMP sequences and structures, and integrated tools for analysis.
There has been an exponential increase in the design of synthetic antimicrobial peptides (AMPs) for its use as novel antibiotics. Synthetic AMPs are substantially enriched in residues with physicochemical properties known to be critical for antimicrobial activity; such as positive charge, hydrophobicity, and higher alpha helical propensity. The current prediction algorithms for AMPs have been developed using AMP sequences from natural sources and hence do not perform well for synthetic peptides. In this version of CAMP database, along with updating sequence information of AMPs, we have created separate prediction algorithms for natural and synthetic AMPs. CAMP(R4) holds 24243 AMP sequences, 933 structures, 2143 patents and 263 AMP family signatures. In addition to the data on sequences, source organisms, target organisms, minimum inhibitory and hemolytic concentrations, CAMP(R4) provides information on N and C terminal modifications and presence of unusual amino acids, as applicable. The database is integrated with tools for AMP prediction and rational design (natural and synthetic AMPs), sequence (BLAST and clustal omega), structure (VAST) and family analysis (PRATT, ScanProsite, CAMPSign). The data along with the algorithms of CAMP(R4) will aid to enhance AMP research. CAMP(R4) is accessible at http://camp.bicnirrh.res.in/.
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