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Pairwise and Multi-chain Protein Docking Enhanced Using LZerD Web Server.

Kannan Harini1,2, Charles Christoffer3, M Michael Gromiha1,2

  • 1Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai, India.

Methods in Molecular Biology (Clifton, N.J.)
|July 14, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces the LZerD web server for modeling protein-protein complex structures. It offers user-friendly tools for pairwise and multi-chain docking, aiding structural biology research when experimental data is unavailable.

Keywords:
LZerDProtein bioinformaticsProtein structure predictionProtein-protein dockingStructure modelingSymmetrical dockingWeb server

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Area of Science:

  • Structural Biology
  • Computational Biology
  • Bioinformatics

Background:

  • Protein-macromolecule interactions are crucial for cellular functions.
  • Experimentally determined structures for many protein complexes are lacking.
  • Computational modeling offers a viable alternative for structure prediction.

Purpose of the Study:

  • To present a user-friendly web server for protein complex structure modeling.
  • To provide access to LZerD and Multi-LZerD tools for pairwise and multi-chain docking.
  • To facilitate the study of protein-protein interactions through computational modeling.

Main Methods:

  • Development of the LZerD web server.
  • Implementation of pairwise and multi-chain protein docking algorithms (LZerD and Multi-LZerD).
  • Inclusion of AttentiveDist for monomeric structure modeling and visualization tools.

Main Results:

  • A functional web server providing access to advanced protein docking tools.
  • User-friendly interface with visualization of binding poses.
  • Demonstrated utility through case studies for monomeric modeling, pairwise, and multi-chain docking.

Conclusions:

  • The LZerD web server is a valuable resource for predicting protein complex structures.
  • It enables researchers to model complex structures computationally, complementing experimental methods.
  • The server facilitates the elucidation of protein interaction mechanisms.