Prediction of general antibacterial activity is a tool for predicting the antimicrobial
potential of only linear peptides active against some bacterial strain.
It is based on the machine learning algorithm and uses the Moon and Fleming
scale (Moon C. P., Fleming K. G., Proc. Natl. Acad. Sci. U. S. A. 2011, 108 (25), 10174-10177),
and the following physicochemical characteristics of peptides: Hydrophobic moment, Charge density
and depth-dependent potential (for details, see Vishnepolsky B. and Pirtskhalava
M. Prediction of Linear Cationic Antimicrobial Peptides Based on Characteristics
Responsible for Their Interaction with the Membranes J. Chem. Inf. Model. 2014, 54, 1512−1523., PubMed).
The peptide should consist of 20 canonical amino acids, and its length should not exceed 100 amino
acids.
Paste sequence(s) in FASTA format (the peptide sequence can contain the '+' sign to the end in case of C-terminal
amidation):
The tool is based on strain-specific AMP prediction algorithm described in Briefings in
Bioinformatics, 23, bbac233; https://doi.org/10.1093/bib/bbac233. The species can be
selected from the drop-down menu. Active peptides are defined as having MIC<25 μg/ml
and Non-Active peptides as having MIC>100 μg/ml. The length of the peptide should not
exceed 30 amino acids.
Species:
Paste sequence(s) in FASTA format (the peptide sequence can contain the '+' sign to the end in case of C-terminal amidation):
This is a tool for predicting the antimicrobial potential of Linear AMPs against particular species
described in J. Chem. Inf. Model. 2018, 58, 1141-1151. Active peptides are defined as having MIC<25
μg/ml and Non-Active peptides as having MIC>100 μg/ml. The species can be selected from the drop-
down menu. The length of the peptide should not exceed 30 amino acids. The server produces one of
the two predictive values: positive predictive value (PPV) for peptides predicted as active and negative
predictive value (NPV) for peptides predicted as not active.
Species:
Paste sequence(s) in FASTA format (the peptide sequence can contain the '+' sign to the end in case of C-terminal amidation):
The prediction algorithm of the tool uses information on the genomic sequences of specific microbial strains and
described in Briefings in Bioinformatics, 23, bbac233; https://doi.org/10.1093/bib/bbac23. Active peptide exhibits
MIC<25 μg/ml, and Non-Active peptide exhibits MIC>100 μg/ml. Active peptides are defined as having MIC<25 μg/ml and
Non-Active peptides as having MIC>100 μg/ml. The genome of query microbial strain can be selected in several ways:
from the drop-down menu, through GenBank ID or can be uploaded by the user. The length of the peptide should not
exceed 30 amino acids.
Strains:
AND/OR Upload the file of a genome sequence in FASTA format:
Paste sequence(s) in FASTA format (the peptide sequence can contain the '+' sign to the end in case of
C-terminal amidation):
Please cite
Boris Vishnepolsky, Maya Grigolava, Grigol Managadze, Andrei Gabrielian, Alex Rosenthal, Darrell E Hurt, Michael
Tartakovsky, Malak Pirtskhalava, Comparative analysis of machine learning algorithms on the microbial
strain-specific AMP prediction, Briefings in Bioinformatics, Volume 23, Issue 4, July 2022, bbac233,
https://doi.org/10.1093/bib/bbac233
Antifungal peptide prediction is a tool based on strain-specific AMP prediction algorithm
described in Briefings in Bioinformatics, 23, bbac233; https://doi.org/10.1093/bib/bbac233.
The species can be selected from the drop-down menu. Active peptides are defined as
having MIC<25 μg/ml and Non-Active peptides as having MIC>100 μg/ml. The length of the
peptide should not exceed 30 amino acids.
Species:
Paste sequence(s) in FASTA format (the peptide sequence can contain the '+' sign to the end in case of C-terminal amidation):
The tool is based on strain-specific AMP prediction algorithm which uses information of target virus
envelope protein properties along with the peptide sequence characteristics to develop prediction
models. Active peptides are defined as having IC50 or EC50 of virus entry inhibition <50 μg/ml and
Non-Active peptides as having IC50 or EC50 of virus entry inhibition >100 μg/ml. The length of the
peptide should not exceed 30 amino acids.
Species:
Paste sequence(s) in FASTA format (the peptide sequence can contain the '+' sign to the end in case of C-terminal amidation):
The tool is based on strain-specific AMP prediction algorithm described in Briefings in Bioinformatics, 23, bbac233;
https://doi.org/10.1093/bib/bbac233, where Human erythrocytes were
considered as targets for AMPs. Definitions of Active and Non-Active peptides in the
training set: peptides (with hemolytic activity) are defined as Active if they induce hemolysis > 40%
with concentration < 40 μg/ml and Non-Active (without hemolytic activity) if they are marked as Non-Active for hemolysis in
DBAASP. The length of the peptide should not exceed 30 amino acids.
Paste sequence(s) in FASTA format (the peptide sequence can contain the '+' sign to the end in case of C-terminal
amidation):