This predictor helps the scientific community working in the fields of Quorum Sening (QS) and biofilm to get appropiate efficiency of a peptide to inhibit biofilm. Our predictor gives the percentage reduction in four ranges viz. not active, less than 50 %, between 51-90% and greater than 90%.
Peptides that are unable to inhibit biofilm
Peptides that can inhibit biofilm with percentage inhibition less than 50%
Peptides having efficiency to inhibit biofilm with efficieny 51-90%
Highly efficient anti-biofilm peptide with efficiency to inhibit biofilm greater than 90%
Result can be interpret by the "ABPpred prediction result page" as shown in the image below. The input sequences categorized in four categories: 1 (Not active), 2 (<50%), 3 (51-90%) and 4 (>90%).
Q 1
These peptides are distinct group of antimicrobial or host defence peptides which are experimentally tested to be active against biofilms.
Q 2
There is no in silico tool available to predict inhibitory percentage of ABPs.
Q 3
Total data of 179 non-reundant ABPs was collected from BaAMPs database.
Q 4
Support Vector Machine (SVM) multiclass classification technique with "one v/s one" approach used in this algorithm.
Bioinformatics Centre (BIC), CSIR-Institute of Microbial Technology.
E-mail: akanksha@imtech.res.in
Bioinformatics Centre (BIC), CSIR-Institute of Microbial Technology.
E-mail: manojk@imtech.res.in
Senior Scientist,
Bioinformatics Centre (BIC),CSIR-Institute of Microbial Technology
Sector 39A, Chandigarh, INDIA
Copyright © 2016 CSIR-Institute of Microbial Technology , Chandigarh 160036, INDIA.