Abstract

We have carried out a computational structure-based design of new potent pyrrolidine carboxamide (PCAMs) inhibitors of enoyl-acyl carrier protein reductase (InhA) of Mycobacterium tuberculosis (MTb). Three-dimensional (3D) models of InhA-PCAMx complexes were prepared by in situ modification of the crystal structure of InhA-PCAM1 (Protein Data Bank (PDB) entry code: 4U0J), the reference compound of a training set of 20 PCAMs with known experimental inhibitory potencies (IC50exp). First, we built a gas phase quantitative structure-activity relationships (QSAR) model, linearly correlating the computed enthalpy of the InhA-PCAM complex formation and the IC50exp. Further, taking into account the solvent effect and loss of inhibitor entropy upon enzyme binding led to a QSAR model with a superior linear correlation between computed Gibbs free energies (ΔΔGcom) of InhA-PCAM complex formation and IC50exp (pIC50exp = −0.1552·ΔΔGcom + 5.0448, R2 = 0.94), which was further validated with a 3D-QSAR pharmacophore model generation (PH4). Structural information from the models guided us in designing of a virtual combinatorial library (VL) of more than 17 million PCAMs. The VL was adsorption, distribution, metabolism and excretion (ADME) focused and reduced down to 1.6 million drug like orally bioavailable analogues and PH4 in silico screened to identify new potent PCAMs with predicted IC50pre reaching up to 5 nM. Combining molecular modeling and PH4 in silico screening of the VL resulted in the proposed novel potent antituberculotic agent candidates with favorable pharmacokinetic profiles.

Highlights

  • A training set of 20 pyrrolidine carboxamide family (PCAM) and validation set of 3 PCAMs (Table 1) were selected from a homogeneous series of inhibitors of enoyl-acyl carrier protein reductase (InhA) inhibitors for which experimentally determined inhibitory activities were available from a single laboratory [12]

  • Structural information from the crystal structure of InhA-PCAM1 complex guided us during preparation of a reliable quantitative structure-activity relationships (QSAR) model of inhibition of the InhA of Mycobacterium tuberculosis (MTb) by pyrrolidine carboxamide inhibitors, which correlated computed Gibbs free energies of complex formation with observed inhibitory potencies

  • In addition to this QSAR model, we have derived a PH4 pharmacophore model for PCAM inhibitors using a training set of 20 and validation set of 3 PCAMs with known inhibitory activities [12]

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Summary

Introduction

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Results and Discussion
In Silico Screening of Library of PCAMs
Analysis of New Inhibitors
EExxppeerriimmeennttaallSSeeccttiioonn
Model Building
Molecular Mechanics
Conformational Search
Solvation Gibbs free energies
Calculation of Binding Affinity and QSAR Model
Interaction Energy
Pharmacophore Generation
ADME Properties
3.10. Virtual Combinatorial Library Generation
3.11. ADME-Based Library Focusing
3.12. Pharmacophore-Based Library Focusing
3.13. In Silico Screening
Conclusions
Full Text
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