Abstract:
:Computer-aided drug design methods such as docking, pharmacophore searching, 3D database searching, and the creation of 3D-QSAR models need conformational ensembles to handle the flexibility of small molecules. Here, we present Conformator, an accurate and effective knowledge-based algorithm for generating conformer ensembles. With 99.9% of all test molecules processed, Conformator stands out by its robustness with respect to input formats, molecular geometries, and the handling of macrocycles. With an extended set of rules for sampling torsion angles, a novel algorithm for macrocycle conformer generation, and a new clustering algorithm for the assembly of conformer ensembles, Conformator reaches a median minimum root-mean-square deviation (measured between protein-bound ligand conformations and ensembles of a maximum of 250 conformers) of 0.47 Å with no significant difference to the highest-ranked commercial algorithm OMEGA and significantly higher accuracy than seven free algorithms, including the RDKit DG algorithm. Conformator is freely available for noncommercial use and academic research.
journal_name
J Chem Inf Modeljournal_title
Journal of chemical information and modelingauthors
Friedrich NO,Flachsenberg F,Meyder A,Sommer K,Kirchmair J,Rarey Mdoi
10.1021/acs.jcim.8b00704subject
Has Abstractpub_date
2019-02-25 00:00:00pages
731-742issue
2eissn
1549-9596issn
1549-960Xjournal_volume
59pub_type
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