In silico property and correlation analysis

The New Medicines for Trypanosomatidic Infections - NMTrypI project aimed at obtaining new candidate drugs against Trypanosomatidic infections with appropriate efficiency from the lead phase to the final preclinical phase that are more accessible to patients.

Multidisciplinary development of selective anti-parasitic multi-target inhibitors of PTR1/DHFR based on a pteridine scaffold.

Computational prediction of physicochemical and advanced descriptors related to ADME-Tox.

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.

Assessment of the possible multiple correlation between experimentally determined TbPTR1 and TbDHFR inhibition values and corresponding anti-parasitic activities against T. brucei brucei bloodstream forms using a Python script.

In silico check and filtering for potential Pan-assay interference 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 ...

Results of default run of Schrödinger QikProp (Schrödinger, LLC, New York, NY, Schrödinger Release 2015-4, 2015, QikProp v4.6.) for reference pteridines (series 1) and newly synthesized N10-, PABA and tail-modified pteridines (series 2, 3 and 4). QikProp in silico predicts various physico-chemical compound properties and advanced descriptors related to administration, distribution, metabolism, excretion and toxicity of the compounds.

Results of default run of Schrödinger QikProp (Schrödinger, LLC, New York, NY, Schrödinger Release 2015-4, 2015, QikProp v4.6.) for newly synthesized compounds of the merged series (5a-5f). QikProp in silico predicts various physico-chemical compound properties and advanced descriptors related to administration, distribution, metabolism, excretion and toxicity of the compounds.

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.

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 ...

Zip-file with Python module used to calculate trivariate statistics between the inhibition of parasitic target enzymes pteridine reductase 1 and dihydrofolate reductase and the corresponding inhibition of T. brucei brucei bloodstream forms. The script makes use of an expansion of pairwise Pearson or Spearman correlations. For further details, also refer to the README file.

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