6533b7d7fe1ef96bd12690ce
RESEARCH PRODUCT
Experimental-Like Affinity Constants and Enantioselectivity Estimates from Flexible Docking
Khirsna BisettyParvesh SinghLaura Escuder-gilabertMyalowenkosy I. SabelaNjabulo Joyfull GumedeNjabulo Joyfull GumedeSalvador SagradoSalvador SagradoM.j. Medina-hernándezsubject
General Chemical EngineeringMonte Carlo methodCrystal structureLibrary and Information SciencesCrystallography X-RayStructure-Activity RelationshipLow energyComputational chemistryHumansSerum AlbuminBinding SitesChemistryHydrogen BondingStereoisomerismInteraction modelGeneral ChemistryHydrogen-Ion ConcentrationComputer Science ApplicationsMolecular Docking SimulationKineticsResearch DesignDocking (molecular)Quantum TheoryThermodynamicsWarfarinMonte Carlo MethodAlgorithmsProtein Bindingdescription
Experimental-like affinity constants and enantioselectivity estimates, not predicted so far computationally, were obtained using a novel flexible modeling/docking combined strategy. The S- and R-warfarin-human serum albumin (HSA, site I) complexes were used as an interaction model. The process for a verified estimation includes the following: (i) ionized open chain forming at physiological pH (a recent focus); (ii) conformational search (molecular mechanics and Monte Carlo methods); (iii) rigid protein-flexible ligand docking (GlideXP) generating low energy paired S- and R-poses; (iv) graphical comparison against the X-ray crystal structure (unsatisfactory verification step); (v) quantum polarized ligand docking (insufficient verification step); (vi) induced fit docking (one pose satisfying the verification criterion; selection step); (vii) converting docking scores to affinity and enantioselectivity estimates (log K(S) = 5.43, log K(R) = 5.34, ES = K(S)/K(R) = 1.23) and numerical comparison against equivalent literature data from bioanalytical techniques (validation step); (viii) intermolecular forces explaining ES (hydrogen bonding and π-π interactions).
year | journal | country | edition | language |
---|---|---|---|---|
2012-09-20 | Journal of Chemical Information and Modeling |