Advances in Computational Techniques to Study GPCR-Ligand Recognition.

Antonella Ciancetta, Davide Sabbadin, Stephanie Federico, Giampiero Spalluto, Stefano Moro
Author Information
  1. Antonella Ciancetta: Molecular Modeling Section (MMS), Dipartimento di Scienze del Farmaco, Università Padova, via Marzolo 5, I-35131 Padova, Italy.
  2. Davide Sabbadin: Molecular Modeling Section (MMS), Dipartimento di Scienze del Farmaco, Università Padova, via Marzolo 5, I-35131 Padova, Italy.
  3. Stephanie Federico: Dipartimento di Scienze Chimiche e Farmaceutiche, Università di Trieste, Piazzale Europa 1, I-34127 Trieste, Italy.
  4. Giampiero Spalluto: Dipartimento di Scienze Chimiche e Farmaceutiche, Università di Trieste, Piazzale Europa 1, I-34127 Trieste, Italy.
  5. Stefano Moro: Molecular Modeling Section (MMS), Dipartimento di Scienze del Farmaco, Università Padova, via Marzolo 5, I-35131 Padova, Italy. Electronic address: stefano.moro@unipd.it.

Abstract

G-protein-coupled receptors (GPCRs) are among the most intensely investigated drug targets. The recent revolutions in protein engineering and molecular modeling algorithms have overturned the research paradigm in the GPCR field. While the numerous ligand-bound X-ray structures determined have provided invaluable insights into GPCR structure and function, the development of algorithms exploiting graphics processing units (GPUs) has made the simulation of GPCRs in explicit lipid-water environments feasible within reasonable computation times. In this review we present a survey of the recent advances in structure-based drug design approaches with a particular emphasis on the elucidation of the ligand recognition process in class A GPCRs by means of membrane molecular dynamics (MD) simulations.

MeSH Term

Amino Acid Sequence
Drug Design
Humans
Ligands
Molecular Docking Simulation
Molecular Dynamics Simulation
Molecular Sequence Data
Molecular Targeted Therapy
Protein Structure, Tertiary
Receptors, G-Protein-Coupled

Chemicals

Ligands
Receptors, G-Protein-Coupled

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