Assays

Prepared multimeric tubulin protein receptors for docking studies, generated by alignment of two identical models of alpha-tubulin on alpha-tubulin chains of two neighboring protofilaments.

Docking results of trifluraline and dinitroaniline-etherphospholipid hybrids against different kinetoplastid alpha-tubulin receptors with an induced fit docking routine. The docking protocol involves an initial crude ligand placement step, subsequent receptor optimization in response to ligand binding, and another docking step into the optimized receptor.

Creation of homology models of various tubulins from dinitroaniline-sensitive and -resistant species, and a comparative analysis of their electrostatic potential grids overall and in putative binding site regions using PIPSA (Protein Interaction Property Similarity Analysis).

Alignments of various alpha-tubulin and beta-tubulin sequences from dinitroaniline-sensitive and dinitroaniline-resistant species. Sequences were retrieved from UniProt with the identifiers listed below and subjected to a multiple sequence alignment using ClustalOmega (ebi.ac.uk/Tools/msa/clustalo/; ClustalOmega webserver, last accessed 16-02-23):

alpha-tubulin:

• [dinitroaniline sensitive] T. cruzi - Q27352; T. brucei brucei - Q4GYY5; L. infantum - ...

Docking results of pteridine-based compounds in different target PTR1 and DHFR receptors and the off-target human DHFR when treating ligands as flexible and the protein receptors as a rigid-body.

Docking results of pteridine-based compounds in different target PTR1 and DHFR receptors and the off-target human DHFR when using an induced fit docking routine with an initial crude ligand placement step, subsequent receptor optimization in response to ligand binding and another docking step into the optimized receptor.

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.

Compound data, library construction schemes and preparation routine for small drug-like molecules as ligands in docking and for further analysis.

Prepared target (parasite PTR1, DHFR) and off-target (human DHFR) protein receptors for docking studies, in part with conserved structural water sets, and the corresponding preparation routine.