Zip file with Python module used to correlate compound descriptors predicted with Schroedinger QikProp with observed anti-parasitic effect against T. brucei brucei bloodstream forms. The script allows a leave-one-out analysis in addition to the default correlation analysis, where data for each compound is skipped once before the correlation analysis is re-performed. An example config file is provided with the zip-archive. For further instructions and information on the available settings, also ...

Results of default run of Schrödinger QikProp (Schrödinger, LLC, New York, NY, Schrödinger Release 2015-4, 2015, QikProp v4.6.) for the entire in silico pteridine library. QikProp in silico predicts various physico-chemical compound properties and advanced descriptors related to administration, distribution, metabolism, excretion and toxicity of the compounds.

Pteridines checked for Pan-assay interference compounds with the FAF-Drugs4 webserver (https://fafdrugs4.rpbs.univ-paris-diderot.fr/, last checked August 2020 and Lagorce et al. (2015) Nucleic Acids Res. 43, W200–207). Archive of PAINS filtering and ADME-Tox prediction results from FAF-Drugs4 run performed April 2019 with compound SMILES as input: applied_filters.txt: list of filters used; compound.sdf, accepted.sdf, intermediate.sdf, rejected.sdf, covalent_inhibitors.sdf and pains.sdf: compound ...

This SOP describes the in silico ADME-Tox property prediction with QikProp for prepared pteridine ligands.