Integration of Ligand-Based and Structure-Based Methods for the Design of Small-Molecule TLR7 Antagonists

Toll-like receptor 7 (TLR7) is activated in response to the binding of single-stranded RNA. Its over-activation has been implicated in several autoimmune disorders, and thus, it is an established therapeutic target in such circumstances. TLR7 small-molecule antagonists are not yet available for ther...

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Main Authors: Sourav Pal, Uddipta Ghosh Dastidar, Trisha Ghosh, Dipyaman Ganguly, Arindam Talukdar
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Molecules
Subjects:
Online Access:https://www.mdpi.com/1420-3049/27/13/4026
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author Sourav Pal
Uddipta Ghosh Dastidar
Trisha Ghosh
Dipyaman Ganguly
Arindam Talukdar
author_facet Sourav Pal
Uddipta Ghosh Dastidar
Trisha Ghosh
Dipyaman Ganguly
Arindam Talukdar
author_sort Sourav Pal
collection DOAJ
description Toll-like receptor 7 (TLR7) is activated in response to the binding of single-stranded RNA. Its over-activation has been implicated in several autoimmune disorders, and thus, it is an established therapeutic target in such circumstances. TLR7 small-molecule antagonists are not yet available for therapeutic use. We conducted a ligand-based drug design of new TLR7 antagonists through a concerted effort encompassing 2D-QSAR, 3D-QSAR, and pharmacophore modelling of 54 reported TLR7 antagonists. The developed 2D-QSAR model depicted an excellent correlation coefficient (R<sup>2</sup><sub>training</sub>: 0.86 and R<sup>2</sup><sub>test</sub>: 0.78) between the experimental and estimated activities. The ligand-based drug design approach utilizing the 3D-QSAR model (R<sup>2</sup><sub>training</sub>: 0.95 and R<sup>2</sup><sub>test</sub>: 0.84) demonstrated a significant contribution of electrostatic potential and steric fields towards the TLR7 antagonism. This consolidated approach, along with a pharmacophore model with high correlation (R<sub>training</sub>: 0.94 and R<sub>test</sub>: 0.92), was used to design quinazoline-core-based hTLR7 antagonists. Subsequently, the newly designed molecules were subjected to molecular docking onto the previously proposed binding model and a molecular dynamics study for a better understanding of their binding pattern. The toxicity profiles and drug-likeness characteristics of the designed compounds were evaluated with in silico ADMET predictions. This ligand-based study contributes towards a better understanding of lead optimization and the future development of potent TLR7 antagonists.
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spelling doaj.art-82c1606dfae747dda71ec559fed1d90f2023-12-03T14:12:58ZengMDPI AGMolecules1420-30492022-06-012713402610.3390/molecules27134026Integration of Ligand-Based and Structure-Based Methods for the Design of Small-Molecule TLR7 AntagonistsSourav Pal0Uddipta Ghosh Dastidar1Trisha Ghosh2Dipyaman Ganguly3Arindam Talukdar4Department of Organic and Medicinal Chemistry, CSIR-Indian Institute of Chemical Biology, 4 Raja S. C. Mullick Road, Kolkata 700032, IndiaDepartment of Organic and Medicinal Chemistry, CSIR-Indian Institute of Chemical Biology, 4 Raja S. C. Mullick Road, Kolkata 700032, IndiaDepartment of Organic and Medicinal Chemistry, CSIR-Indian Institute of Chemical Biology, 4 Raja S. C. Mullick Road, Kolkata 700032, IndiaIICB-Translational Research Unit of Excellence, Department of Cancer Biology and Inflammatory Disorders, CSIR-Indian Institute of Chemical Biology, CN6, Sector V, Salt Lake, Kolkata 700091, IndiaDepartment of Organic and Medicinal Chemistry, CSIR-Indian Institute of Chemical Biology, 4 Raja S. C. Mullick Road, Kolkata 700032, IndiaToll-like receptor 7 (TLR7) is activated in response to the binding of single-stranded RNA. Its over-activation has been implicated in several autoimmune disorders, and thus, it is an established therapeutic target in such circumstances. TLR7 small-molecule antagonists are not yet available for therapeutic use. We conducted a ligand-based drug design of new TLR7 antagonists through a concerted effort encompassing 2D-QSAR, 3D-QSAR, and pharmacophore modelling of 54 reported TLR7 antagonists. The developed 2D-QSAR model depicted an excellent correlation coefficient (R<sup>2</sup><sub>training</sub>: 0.86 and R<sup>2</sup><sub>test</sub>: 0.78) between the experimental and estimated activities. The ligand-based drug design approach utilizing the 3D-QSAR model (R<sup>2</sup><sub>training</sub>: 0.95 and R<sup>2</sup><sub>test</sub>: 0.84) demonstrated a significant contribution of electrostatic potential and steric fields towards the TLR7 antagonism. This consolidated approach, along with a pharmacophore model with high correlation (R<sub>training</sub>: 0.94 and R<sub>test</sub>: 0.92), was used to design quinazoline-core-based hTLR7 antagonists. Subsequently, the newly designed molecules were subjected to molecular docking onto the previously proposed binding model and a molecular dynamics study for a better understanding of their binding pattern. The toxicity profiles and drug-likeness characteristics of the designed compounds were evaluated with in silico ADMET predictions. This ligand-based study contributes towards a better understanding of lead optimization and the future development of potent TLR7 antagonists.https://www.mdpi.com/1420-3049/27/13/4026drug designQSARpharmacophore modelmolecular dynamicsTLR7 antagonists
spellingShingle Sourav Pal
Uddipta Ghosh Dastidar
Trisha Ghosh
Dipyaman Ganguly
Arindam Talukdar
Integration of Ligand-Based and Structure-Based Methods for the Design of Small-Molecule TLR7 Antagonists
Molecules
drug design
QSAR
pharmacophore model
molecular dynamics
TLR7 antagonists
title Integration of Ligand-Based and Structure-Based Methods for the Design of Small-Molecule TLR7 Antagonists
title_full Integration of Ligand-Based and Structure-Based Methods for the Design of Small-Molecule TLR7 Antagonists
title_fullStr Integration of Ligand-Based and Structure-Based Methods for the Design of Small-Molecule TLR7 Antagonists
title_full_unstemmed Integration of Ligand-Based and Structure-Based Methods for the Design of Small-Molecule TLR7 Antagonists
title_short Integration of Ligand-Based and Structure-Based Methods for the Design of Small-Molecule TLR7 Antagonists
title_sort integration of ligand based and structure based methods for the design of small molecule tlr7 antagonists
topic drug design
QSAR
pharmacophore model
molecular dynamics
TLR7 antagonists
url https://www.mdpi.com/1420-3049/27/13/4026
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