Recent advances of in-silico modeling of potent antagonists for the adenosine receptors

Pabitra Narayan Samanta, Supratik Kar, Jerzy Leszczynski

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

The rapid advancement of computer architectures and development of mathematical algorithms offer a unique opportunity to leverage the simulation of macromolecular systems at physiologically relevant timescales. Herein, we discuss the impact of diverse structure-based and ligand-based molecular modeling techniques in designing potent and selective antagonists against each adenosine receptor (AR) subtype that constitutes multitude of drug targets. The efficiency and robustness of high-throughput empirical scoring function-based approaches for hit discovery and lead optimization in the AR family are assessed with the help of illustrative examples that have led to nanomolar to sub-micromolar inhibition activities. Recent progress in computer-aided drug discovery through homology modeling, quantitative structure-activity relation, pharmacophore models, and molecular docking coupled with more accurate free energy calculation methods are reported and critically analyzed within the framework of structure-based virtual screening of AR antagonists. Later, the potency and applicability of integrated molecular dynamics (MD) methods are addressed in the context of diligent inspection of intricated AR-antagonist binding processes. MD simulations are exposed to be competent for studying the role of the membrane as well as the receptor flexibility toward the precise evaluation of the biological activities of antagonistbound AR complexes such as ligand binding modes, inhibition affinity, and associated thermodynamic and kinetic parameters.

Original languageEnglish
Pages (from-to)750-773
Number of pages24
JournalCurrent Pharmaceutical Design
Volume25
Issue number7
DOIs
StatePublished - 2019

Keywords

  • Adenosine receptor
  • GPCR
  • In silico
  • Macromolecular systems
  • Molecular dynamics
  • QSAR

Fingerprint

Dive into the research topics of 'Recent advances of in-silico modeling of potent antagonists for the adenosine receptors'. Together they form a unique fingerprint.

Cite this