학술논문
CalcAMP: A New Machine Learning Model for the Accurate Prediction of Antimicrobial Activity of Peptides
Document Type
Academic Journal
Author
Source
Antibiotics. April 2023, Vol. 12 Issue 4
Subject
Language
English
ISSN
2079-6382
Abstract
Author(s): Colin Bournez [1]; Martijn Riool [2,†]; Leonie de Boer [2]; Robert A. Cordfunke [3]; Leonie de Best [4]; Remko van Leeuwen [4]; Jan Wouter Drijfhout [3]; Sebastian A. J. [...]
To combat infection by microorganisms host organisms possess a primary arsenal via the innate immune system. Among them are defense peptides with the ability to target a wide range of pathogenic organisms, including bacteria, viruses, parasites, and fungi. Here, we present the development of a novel machine learning model capable of predicting the activity of antimicrobial peptides (AMPs), CalcAMP. AMPs, in particular short ones (
To combat infection by microorganisms host organisms possess a primary arsenal via the innate immune system. Among them are defense peptides with the ability to target a wide range of pathogenic organisms, including bacteria, viruses, parasites, and fungi. Here, we present the development of a novel machine learning model capable of predicting the activity of antimicrobial peptides (AMPs), CalcAMP. AMPs, in particular short ones (