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Related Concept Videos

Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

Protein domains are small structurally independent units that are part of a single amino acid chain.  Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
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Conservation of Protein Domains02:26

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Updated: Jun 15, 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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Conformer generation with OMEGA: algorithm and validation using high quality structures from the Protein Databank and

Paul C D Hawkins1, A Geoffrey Skillman, Gregory L Warren

  • 1OpenEye Scientific Software, 9 Bisbee Court, Suite D, Santa Fe, New Mexico 87508, USA. phawkins@eyesopen.com

Journal of Chemical Information and Modeling
|March 19, 2010
PubMed
Summary
This summary is machine-generated.

OMEGA, a knowledge-based conformer generator, creates 3D molecular structures. Its validation against reliable crystallographic data confirms its high accuracy in reproducing experimental conformations.

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Area of Science:

  • Computational Chemistry
  • Structural Biology
  • Drug Discovery

Background:

  • Conformer generation is crucial for understanding molecular behavior.
  • Existing validation methods for conformer generators face challenges due to data quality issues in public databases like the Protein Databank (PDB).

Purpose of the Study:

  • To present and validate OMEGA, a novel systematic, knowledge-based conformer generator.
  • To establish a reliable dataset for validating conformer generation algorithms.

Main Methods:

  • OMEGA algorithm: 1. Assembly of initial 3D structures from fragments. 2. Exhaustive torsion enumeration using knowledge-based angles. 3. Sampling via geometric and energy criteria.
  • Development of methods to curate a high-quality, diverse set of 197 small molecule structures from PDB cocomplexes for reliable validation.
  • Comparison of OMEGA's performance against crystallographic data from the curated PDB set and the Cambridge Structural Database (CSD).

Main Results:

  • A robust dataset of 197 reliable small molecule crystallographic conformations was successfully curated.
  • OMEGA demonstrated strong performance in reproducing experimental conformations from both the PDB and CSD datasets.
  • Two complementary metrics confirmed the accuracy of OMEGA's generated conformers.

Conclusions:

  • OMEGA is a highly effective and accurate knowledge-based conformer generator.
  • The curated PDB dataset provides a sound basis for future validation of conformer generation tools.
  • The findings support the use of OMEGA in computational chemistry and drug discovery workflows.