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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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LZerD webserver for pairwise and multiple protein-protein docking.

Charles Christoffer1, Siyang Chen1, Vijay Bharadwaj1

  • 1Department of Computer Science, Purdue University, West Lafayette, INĀ 47907, USA.

Nucleic Acids Research
|May 8, 2021
PubMed
Summary
This summary is machine-generated.

Computational protein-protein docking tools predict 3D structures of protein complexes when experimental data is unavailable. The LZerD webserver offers advanced docking tools, LZerD and Multi-LZerD, for accurate modeling of protein interactions.

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Area of Science:

  • Structural biology
  • Computational biology
  • Biochemistry

Background:

  • Protein complexes are crucial for cellular functions.
  • Determining the 3D structures of protein complexes is essential for understanding cellular mechanisms.
  • Experimental structure determination can be challenging, necessitating computational approaches.

Purpose of the Study:

  • To present a webserver providing access to the LZerD and Multi-LZerD protein docking tools.
  • To offer a user-friendly platform for computationally modeling protein complex structures.
  • To enable the incorporation of distance constraints for enhanced docking accuracy.

Main Methods:

  • Utilizing LZerD for pairwise protein docking and Multi-LZerD for multi-chain docking.
  • Employing a soft protein surface representation with 3D Zernike descriptors and geometric hashing.
  • Integrating user-defined distance constraints for residue interactions and interface localization.

Main Results:

  • The LZerD webserver provides access to robust protein docking tools.
  • The docking protocol consistently ranked high in CAPRI blind evaluations.
  • The server outputs full-atom docked models and visualizes binding pose distributions.

Conclusions:

  • The LZerD webserver is a valuable resource for computational protein-protein docking.
  • The tools facilitate the modeling of complex protein interactions.
  • The platform supports structural biology research by providing accurate protein complex models.