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.
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
Data files: Python module for calculating trivariate statis...
Snapshots: No snapshots
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
Data files: Python module for calculating pairwise correlat...
Snapshots: No snapshots
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.
Creators: Ina Poehner, Rebecca Wade
Submitter: Ina Poehner
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 ...
Creators: Ina Poehner, Rebecca Wade
Submitter: Ina Poehner