SNIC
SUPR
SNIC SUPR
Drug screening modeling
Dnr:

SNIC 2017/7-273

Type:

SNAC Small

Principal Investigator:

Ola Spjuth

Affiliation:

Uppsala universitet

Start Date:

2017-12-01

End Date:

2018-12-01

Primary Classification:

10203: Bioinformatics (Computational Biology) (applications to be 10610)

Allocation

Abstract

This project aims at developing computational methods, tools and predictive models to aid the drug discovery process on large data sets. Methods include ligand-based and structure-based methods such as QSAR (machine learning) and docking, with applications including prediction of drug safety, toxicology, interactions, target profiles and secondary pharmacology.