ClassAMP statistics

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Citations per year

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Popular tool citations

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Tool usage distribution map

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Associated diseases

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ClassAMP specifications

Information


Unique identifier OMICS_10528
Name ClassAMP
Interface Web user interface
Restrictions to use None
Input data Sequence(s)
Input format FASTA
Computer skills Basic
Stability Stable
Maintained Yes

Maintainer


  • person_outline ClassAMP Team <>

Publication for ClassAMP

ClassAMP in publications

 (3)
PMCID: 5834480
PMID: 29535692
DOI: 10.3389/fmicb.2018.00323

[…] for predicting/designing antimicrobial have been evaluated and reviewed in depth (; ). in comparison to amps, limited attempts have been made to understand and develop methods for predicting afps. classamp is one of the methods which predicts the given peptide as antibacterial, antiviral, antifungal, etc. with a probability score (). another such method is iamp-2l which first predicts […]

PMCID: 5767919
PMID: 29379261
DOI: 10.6026/97320630013415

[…] a prediction model with high mathew correlation coefficient of 0.73 was developed. thus, several models are available for the prediction of antiviral, antibacterial or antifungal activities. a classamp server [] using svm and rf models predicting the propensity of a peptide to be antibacterial, antiviral or antifungal is also available. a two level fuzzy k-nearest neighbor model [] […]

PMCID: 5304217
PMID: 28205576
DOI: 10.1038/srep42362

[…] agents by identifying the best candidate amp prior to the synthesis and testing against pathogens in wet-lab. in this direction, computational tools like antibp, amper, camp, antibp2, avppred, classamp, iamp-2l and efc-fcbf have been developed for the prediction of amps. the binary (0, 1) and compositional features were used in antibp and antibp2 respectively to map the peptide sequences […]


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ClassAMP institution(s)
Biomedical Informatics Center of Indian Council of Medical Research, National Institute for Research in Reproductive Health, Parel, Mumbai, Maharashtra, India

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