Assessment of possible linear correlations between predicted ADMET descriptors from QikProp (Schrödinger, LLC, New York, NY) runs and experimentally determined activities against T. brucei brucei bloodstream forms with the help of a Python script.
Submitter: Ina Poehner
Biological problem addressed: Model Analysis Type
Investigation: Pteridines as anti-kinetoplastid folate-pathway...
Organisms: No organisms
Models: No Models
SOPs: No SOPs
Snapshots: No snapshots
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 ...
Investigations: Pteridines as anti-kinetoplastid folate-pathway...
Assays: PAINS filtering
This SOP describes the in silico ADME-Tox property prediction with QikProp for prepared pteridine ligands.