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1.
J Theor Biol ; 439: 14-23, 2018 02 14.
Article in English | MEDLINE | ID: mdl-29197513

ABSTRACT

Pharmacophore approaches are of central contour in drug discovery. However, the dependence of ligand-based pharmacophore model on appropriate training set molecules and typical use of apo-protein or single protein-ligand complex for the construction of structure-based pharmacophore models might skip some vital information. Therefore, multiple-complex based approach was employed for the construction of pharmacophore models of the Mycobacterium structural proteome. Moreover, the strategy of clustering of common pharmacophore hypotheses was made to gain an insight about the pharmacophore-similarity across the protein classes and share of features among the inhibitors. Rationale behind the present work was to present the scenario of virtual screening and guiding principle for designing efficient inhibitor by taking into account the available pharmacophoric space.


Subject(s)
Bacterial Proteins/antagonists & inhibitors , Computer Simulation , Drug Discovery/methods , Mycobacterium tuberculosis/chemistry , Proteome/chemistry , Drug Design , Molecular Structure , Proteome/antagonists & inhibitors , Structure-Activity Relationship , User-Computer Interface
2.
J Biomol Struct Dyn ; 34(6): 1282-97, 2016 Jun.
Article in English | MEDLINE | ID: mdl-26222438

ABSTRACT

Despite intense research efforts towards clinical and molecular causes of Parkinson disease (PD), the etiology of disease still remains unclear. However, recent studies have provided ample evidences that the oxidative stress is the key player that contributes a lot to dopaminergic (DAergic) neurodegeneration in brain. It is due to the discrepancy of antioxidant defence system of which nuclear factor erythroid 2-related factor 2 (Nrf2) signalling is of central contour. In the current study, potent heme oxygenase-1 agonists (Nrf2 signalling regulator), vinyl sulfones, were selected and an optimal pharmacophore model was brought forth which was examined using a decoy set by atom-based 3D-QSAR. The best four-feature model consists of two hydrogen bond acceptors and two aromatic rings, which has the highest correlation coefficient, R(2) = .71 and [Formula: see text] = .73 in QSAR. These ligands were further studied for molecular docking with Nrf2-keap protein to gain insight into the major binding motifs followed by analysing pharmacokinetic properties to evaluate their bioavailability dominance. From this study, it is concluded that vinyl sulfones could be ideal compounds for targeting Nrf2 pathway which in turn halt the PD progression. Hence, these can be considered as potential leads for drug development against the same.


Subject(s)
Models, Molecular , Molecular Conformation , NF-E2-Related Factor 2/chemistry , Quantitative Structure-Activity Relationship , Sulfones/chemistry , Binding Sites , Drug Design , Hydrogen Bonding , Molecular Docking Simulation , Molecular Dynamics Simulation , NF-E2-Related Factor 2/metabolism , Protein Binding , Reproducibility of Results , Sulfones/metabolism , Sulfones/pharmacology , Transcription, Genetic/drug effects
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