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Related Experiment Video

Updated: May 7, 2026

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins
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GOMoDo: A GPCRs online modeling and docking webserver.

Massimo Sandal1, Tran Phuoc Duy, Matteo Cona

  • 1Department of Biotechnology, University of Verona, Ca' Vignal 1, Verona, Italy.

Plos One
|September 24, 2013
PubMed
Summary
This summary is machine-generated.

G-protein coupled receptors (GPCRs) are crucial drug targets, but few structures exist. GOMoDo is a new web server that models GPCR structures and docks ligands, aiding drug discovery.

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Area of Science:

  • Biochemistry
  • Structural Biology
  • Computational Biology

Background:

  • G-protein coupled receptors (GPCRs) represent the largest family of drug targets, with over 750 members in the human genome.
  • Despite their therapeutic importance, experimentally determined structures for GPCRs are scarce, hindering drug development efforts.
  • Existing tools for GPCR structural prediction and ligand docking operate separately, creating a need for integrated solutions.

Purpose of the Study:

  • To develop a user-friendly web server, GOMoDo (GPCR Online Modeling and Docking), that integrates GPCR structure modeling and small molecule docking.
  • To provide a seamless pipeline for predicting GPCR structures and docking ligands in a single, consistent workflow.
  • To facilitate drug discovery by offering a readily accessible tool for exploring GPCR-ligand interactions.

Main Methods:

  • GOMoDo combines state-of-the-art bioinformatics tools for automated template selection and homology modeling of GPCRs.
  • The server supports both blind and information-driven docking strategies for ligand binding.
  • Users can guide the entire modeling and docking procedure, allowing for customized analyses.

Main Results:

  • GOMoDo successfully integrates GPCR homology modeling and ligand docking into a single, automated pipeline.
  • The web server streamlines the process, reducing the complexity and time required for structure-based drug design targeting GPCRs.
  • It offers flexibility by allowing users to control various aspects of the modeling and docking process.

Conclusions:

  • GOMoDo addresses the critical need for accessible tools in GPCR structure-based drug discovery.
  • The integrated platform simplifies the process of modeling GPCRs and docking potential drug candidates.
  • This freely accessible web server is expected to accelerate research and development in the field of GPCR-targeted therapeutics.