The upload contains additional primary data associated with the publication, including raw data in the original file format whenever possible. Data content: HRMS, HPLC-MS, CD, MD, TE
Abstract Background To further our understanding of immunopeptidomics, improved tools are needed to ...
Major histocompatibility complex (MHC)-Associated Peptide Proteomics (MAPPs) is an ex vivo method us...
The emergence of pathogens resistant to available drug therapies is a pressing global health proble...
Machine learning (ML) consists of the recognition of patterns from training data and offers the oppo...
The upload contains additional primary data associated with the publication, including raw data in t...
The upload contains additional primary data associated with the publication, including raw data in t...
Datasets used for the publication: CalcAMP: A new machine learning model for the accurate predicti...
The emergence of microbes resistant to common antibiotics represent a current treat to human health....
The file set uploaded are Raw data in the research project of "Natural ligand-nonmimetic inhibitors ...
This is a preprint version of the manuscript A Machine Learning-Enabled Open Biodata Resource Invent...
The data set collected 5,000 antimicrobial peptide chains for research combining deep learning and c...
Predictions of antimicrobial activity for APD3_AMP. Evaluation of different models with APD3_AMP aft...
The upload contains additional primary data associated with the publication https://doi.org/10.1021/...
Slides from public PhD defense with introduction for laymen audience and brief overview of results. ...
The model files and data sets are related to the publication "Li, C., Sutherland, D., Hammond, S.A. ...
Abstract Background To further our understanding of immunopeptidomics, improved tools are needed to ...
Major histocompatibility complex (MHC)-Associated Peptide Proteomics (MAPPs) is an ex vivo method us...
The emergence of pathogens resistant to available drug therapies is a pressing global health proble...
Machine learning (ML) consists of the recognition of patterns from training data and offers the oppo...
The upload contains additional primary data associated with the publication, including raw data in t...
The upload contains additional primary data associated with the publication, including raw data in t...
Datasets used for the publication: CalcAMP: A new machine learning model for the accurate predicti...
The emergence of microbes resistant to common antibiotics represent a current treat to human health....
The file set uploaded are Raw data in the research project of "Natural ligand-nonmimetic inhibitors ...
This is a preprint version of the manuscript A Machine Learning-Enabled Open Biodata Resource Invent...
The data set collected 5,000 antimicrobial peptide chains for research combining deep learning and c...
Predictions of antimicrobial activity for APD3_AMP. Evaluation of different models with APD3_AMP aft...
The upload contains additional primary data associated with the publication https://doi.org/10.1021/...
Slides from public PhD defense with introduction for laymen audience and brief overview of results. ...
The model files and data sets are related to the publication "Li, C., Sutherland, D., Hammond, S.A. ...
Abstract Background To further our understanding of immunopeptidomics, improved tools are needed to ...
Major histocompatibility complex (MHC)-Associated Peptide Proteomics (MAPPs) is an ex vivo method us...
The emergence of pathogens resistant to available drug therapies is a pressing global health proble...
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