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LigDig: a web server for querying ligand-protein interactions.

Jonathan C Fuller1, Michael Martinez2, Stefan Henrich2

  • 1Molecular and Cellular Modeling Group, Heidelberg Institute for Theoretical Studies (HITS), 69118 Heidelberg, Center for Molecular Biology Heidelberg University (ZMBH), DKFZ-ZMBH Alliance, 69120 Heidelberg, Germany and Interdisciplinary Center for Scientific Computing (IWR), 69120 Heidelberg, Germany Molecular and Cellular Modeling Group, Heidelberg Institute for Theoretical Studies (HITS), 69118 Heidelberg, Center for Molecular Biology Heidelberg University (ZMBH), DKFZ-ZMBH Alliance, 69120 Heidelberg, Germany and Interdisciplinary Center for Scientific Computing (IWR), 69120 Heidelberg, Germany.

Bioinformatics (Oxford, England)
|December 1, 2014
PubMed
Summary

LigDig is a new web server that simplifies complex queries about protein-ligand interactions. It integrates multiple data sources and tools for structure analysis, aiding researchers in drug discovery.

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Area of Science:

  • Bioinformatics
  • Computational Chemistry
  • Structural Biology

Background:

  • Protein-ligand interactions are crucial in biological processes.
  • Analyzing these interactions often requires multiple, disparate tools and databases.
  • Existing methods can be complex and time-consuming for researchers.

Purpose of the Study:

  • To develop a unified web server, LigDig, for analyzing protein-ligand complexes.
  • To simplify and integrate diverse data sources and analytical tools.
  • To facilitate the study of ligand binding sites and interactions.

Main Methods:

  • LigDig is a modular web server comprising seven distinct tools.
  • It integrates freely available databases (ChEMBL, PubChem, SABIO-RK) and software (cytoscape.js, PDB2PQR, ProBiS, Fconv).
  • Tools enable free-text compound search, ligand suitability assessment, interaction network analysis, structure comparison, and file preparation.

Main Results:

  • LigDig provides a streamlined approach to querying and analyzing protein-ligand complex data.
  • Users can perform complex analyses, such as comparing binding site structures and identifying potential inhibitors.
  • The server supports batch searches and preparation of files for further computational studies.

Conclusions:

  • LigDig offers a valuable, user-friendly resource for researchers in bioinformatics and cheminformatics.
  • It reduces the complexity of analyzing protein-ligand interactions, accelerating research.
  • The integrated platform enhances the exploration of ligand binding and function.