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Machine learning on biological data for faster data-driven drug discovery and development
Einarson, Kasper Alnor
(PhD Student)
Clemmensen, Line Katrine Harder
(Main Supervisor)
Refsgaard, Hanne H.F.
(Supervisor)
Darkner, Sune
(Examiner)
Obrezanova, Olga
(Examiner)
Statistics and Data Analysis
Department of Applied Mathematics and Computer Science
DTU Microbes Initiative
Overview
Fingerprint
Publications
(1)
Project Details
Status
Finished
Effective start/end date
01/08/2020
→
06/09/2024
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Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Protein Function
Biochemistry, Genetics and Molecular Biology
100%
Pharmacokinetics
Biochemistry, Genetics and Molecular Biology
100%
Pharmacokinetic Parameter
Pharmacology, Toxicology and Pharmaceutical Science
100%
Drug Development
Pharmacology, Toxicology and Pharmaceutical Science
100%
Animal Experiment
Biochemistry, Genetics and Molecular Biology
75%
Peptide Sequence
Biochemistry, Genetics and Molecular Biology
50%
Biological Product
Pharmacology, Toxicology and Pharmaceutical Science
50%
Drug Discovery
Pharmacology, Toxicology and Pharmaceutical Science
33%
Research output
Publications per year
2024
2024
2024
1
Ph.D. thesis
Publications per year
Publications per year
Molecular representations in computational drug design - from early stage protein functions to machine learning based prediction of pharmacokinetic parameters
Einarson, K. A.,
2024
,
Technical University of Denmark
.
201 p.
Research output
:
Book/Report
›
Ph.D. thesis
Open Access
File
Protein Function
100%
Pharmacokinetics
100%
Pharmacokinetic Parameter
100%
Drug Development
100%
Learning System
100%