Development of Antimicrobial Peptide Prediction Tool for Aquaculture Industries

2016 ◽  
Vol 8 (3) ◽  
pp. 141-149 ◽  
Author(s):  
Aditi Gautam ◽  
Asuda Sharma ◽  
Sarika Jaiswal ◽  
Samar Fatma ◽  
Vasu Arora ◽  
...  
Keyword(s):  
Antimicrobial Peptide ◽  
Prediction Tool ◽  
Peptide Prediction

scholarly journals Recent trends in antimicrobial peptide prediction using machine learning techniques

2017 ◽  
Vol 13 (12) ◽  
pp. 415-416 ◽  
Author(s):  
Yash Shah ◽  
◽  
Deepak Sehgal ◽  
Jayaraman K Valadi ◽  
◽  
...  
Keyword(s):  
Machine Learning ◽  
Antimicrobial Peptide ◽  
Machine Learning Techniques ◽  
Learning Techniques ◽  
Recent Trends ◽  
Peptide Prediction

Discovering New In Silico Tools for Antimicrobial Peptide Prediction

2012 ◽  
Vol 13 (9) ◽  
pp. 1148-1157 ◽  
Author(s):  
Marc Torrent ◽  
M. Victoria Nogues ◽  
Ester Boix
Keyword(s):  
Antimicrobial Peptide ◽  
In Silico ◽  
Peptide Prediction ◽  
In Silico Tools

scholarly journals AmylPepPred: Amyloidogenic Peptide Prediction tool

2012 ◽  
Vol 8 (20) ◽  
pp. 994-995 ◽  
Author(s):  
Smitha Sunil Kumaran Nair ◽  
◽  
NV Subba Reddy ◽  
KS Hareesha
Keyword(s):  
Prediction Tool ◽  
Peptide Prediction

Comment on: ‘Empirical comparison of web-based antimicrobial peptide prediction tools’

2018 ◽  
Vol 35 (15) ◽  
pp. 2692-2694 ◽  
Author(s):  
Boris Vishnepolsky ◽  
Malak Pirtskhalava
Keyword(s):  
Antimicrobial Peptide ◽  
Supplementary Information ◽  
Supplementary Data ◽  
Empirical Comparison ◽  
Web Based ◽  
Prediction Tools ◽  
Peptide Prediction

Abstract Supplementary information: Supplementary data are available at Bioinformatics online.

scholarly journals Empirical comparison of web-based antimicrobial peptide prediction tools

2017 ◽  
Vol 33 (13) ◽  
pp. 1921-1929 ◽  
Author(s):  
Musa Nur Gabere ◽  
William Stafford Noble
Keyword(s):  
Antimicrobial Peptide ◽  
Empirical Comparison ◽  
Web Based ◽  
Prediction Tools ◽  
Peptide Prediction

scholarly journals amPEPpy 1.0: a portable and accurate antimicrobial peptide prediction tool

2020 ◽  
Author(s):  
Travis J Lawrence ◽  
Dana L Carper ◽  
Margaret K Spangler ◽  
Alyssa A Carrell ◽  
Tomás A Rush ◽  
...  
Keyword(s):  
Antimicrobial Agents ◽  
Random Forest Classifier ◽  
Supplementary Information ◽  
Command Line ◽  
Prediction Tool ◽  
Promising Alternative ◽  
Peptide Prediction ◽  
User Friendly ◽  
Genome Scale ◽  
Scale Data

Abstract Summary Antimicrobial peptides (AMPs) are promising alternative antimicrobial agents. Currently, however, portable, user-friendly and efficient methods for predicting AMP sequences from genome-scale data are not readily available. Here we present amPEPpy, an open-source, multi-threaded command-line application for predicting AMP sequences using a random forest classifier. Availability and implementation amPEPpy is implemented in Python 3 and is freely available through GitHub (https://github.com/tlawrence3/amPEPpy). Supplementary information Supplementary data are available at Bioinformatics online.

The Human Endogenous Antimicrobial Peptide Ll-37 Stimulates Airway Epithelial Repair

Pneumologie ◽  
2006 ◽  
Vol 59 (12) ◽  
Author(s):  
R Shaykhiev ◽  
C Beißwenger ◽  
K Kändler ◽  
J Senske ◽  
A Püchner ◽  
...  
Keyword(s):  
Antimicrobial Peptide ◽  
Airway Epithelial ◽  
Epithelial Repair

Antimicrobial Peptide Prodrugs and Mimetics

2016 ◽  
Author(s):  
Marc Devocelle ◽  
Éanna Forde ◽  
André Schütte ◽  
Andrea Molero-Bondia ◽  
Emer Reeves ◽  
...  
Keyword(s):  
Antimicrobial Peptide

LL-37; The Human Epithelial Antimicrobial Peptide and Innate Immunity System

2015 ◽  
Vol 1 (4) ◽  
pp. 76
Author(s):  
Seyadeh Zahra Sajjadiyan ◽  
Sarah Mohammadinejad ◽  
Leila Hassani
Keyword(s):  
Innate Immunity ◽  
Antimicrobial Peptide
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