Datasets used for the publication: CalcAMP: A new machine learning model for the accurate prediction of antimicrobial activity of peptide
MOTIVATION: Antimicrobial peptides (AMPs) are increasingly being used in the development of new ther...
Antimicrobial resistance has become a critical global health problem due to the abuse of conventiona...
The emergence of pathogens resistant to available drug therapies is a pressing global health proble...
Datasets used for the publication: CalcAMP: A new machine learning model for the accurate predicti...
Antimicrobial peptides (AMPs) are considered as promising alternatives to conventional antibiotics i...
This study demonstrates the importance of obtaining statistically stable results when using machine ...
Due to the increasing resistance of bacteria to antibiotics, scientists began seeking new solutions ...
Machine learning (ML) consists of the recognition of patterns from training data and offers the oppo...
The emergence of microbes resistant to common antibiotics represent a current treat to human health....
The model files and data sets are related to the publication "Li, C., Sutherland, D., Hammond, S.A. ...
Abstract Background Antimicrobial peptides are promising tools to fight against ever-growing antibio...
Designing novel antimicrobial peptides is a hot area of research in the field of therapeutics especi...
New antibiotics are needed to battle growing antibiotic resistance, but the development process fro...
This record contains the checkpoint for a Chemprop model trained to predict the probability that a m...
Machine learning is a subfield of artificial intelligence which combines sophisticated algorithms an...
MOTIVATION: Antimicrobial peptides (AMPs) are increasingly being used in the development of new ther...
Antimicrobial resistance has become a critical global health problem due to the abuse of conventiona...
The emergence of pathogens resistant to available drug therapies is a pressing global health proble...
Datasets used for the publication: CalcAMP: A new machine learning model for the accurate predicti...
Antimicrobial peptides (AMPs) are considered as promising alternatives to conventional antibiotics i...
This study demonstrates the importance of obtaining statistically stable results when using machine ...
Due to the increasing resistance of bacteria to antibiotics, scientists began seeking new solutions ...
Machine learning (ML) consists of the recognition of patterns from training data and offers the oppo...
The emergence of microbes resistant to common antibiotics represent a current treat to human health....
The model files and data sets are related to the publication "Li, C., Sutherland, D., Hammond, S.A. ...
Abstract Background Antimicrobial peptides are promising tools to fight against ever-growing antibio...
Designing novel antimicrobial peptides is a hot area of research in the field of therapeutics especi...
New antibiotics are needed to battle growing antibiotic resistance, but the development process fro...
This record contains the checkpoint for a Chemprop model trained to predict the probability that a m...
Machine learning is a subfield of artificial intelligence which combines sophisticated algorithms an...
MOTIVATION: Antimicrobial peptides (AMPs) are increasingly being used in the development of new ther...
Antimicrobial resistance has become a critical global health problem due to the abuse of conventiona...
The emergence of pathogens resistant to available drug therapies is a pressing global health proble...
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