title: Bioactive conformational biasing: a new method for focusing conformational ensembles on bioactive-like conformers.
abstract: Computational approaches that rely on ligand-based information for lead discovery and optimization are often required to spend considerable resources analyzing compounds with large conformational ensembles. In order to reduce such efforts, we have developed a new filtration tool which reduces the total number of ligand conformations while retaining in the final set a reasonable number of conformations that are similar (rmsd < or = 1 A) to those observed in ligand-protein cocrystals (bioactive-like conformations). Our tool consists of the following steps: (1) Prefiltration aimed at removing ligands for which the probability of finding bioactive-like conformations is low. (2) Filtration based on a unique combination of two-/three-dimensional ligand properties. Within this paradigm, a filtration model is defined by its workflow and by the identity of the specific descriptors used for filtration. Thus, we developed multiple models based on a training set of 47 drug compounds and tested their performance on an independent test set of 24 drug compounds. For test set compounds after prefiltration, our best models have a success rate of approximately 80% and were able to reduce the total number of conformations by 36% while maintaining a sufficiently large number of bioactive-like conformations and slightly increasing their proportion in the filtered ensemble. We were also able to reduce by 39% the number of conformations that are remote (rmsd > 2.5 A) from the bioactive conformer (nonbioactive conformations). In accord with previous reports, prefiltration is shown to have a major effect on model performance. The role and performance of specific descriptors as filters is discussed in some detail, and future directions are proposed.
authors.affiliation: Epix Pharmaceuticals Ltd., 3 Hayetzira St., Ramat Gan 52521, Israel.
authors.forename: Boaz
authors.initials: B
authors.lastname: Musafia
authors.forename: Hanoch
authors.initials: H
authors.lastname: Senderowitz
mesh_terms: D008024:Ligands; D008956:Models, Chemical; D011487:Protein Conformation; D011506:Proteins / Q000737:chemistry*
chemical_list: D008024:Ligands; D011506:Proteins