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Related Experiment Video

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Automated Acoustic Dispensing for the Serial Dilution of Peptide Agonists in Potency Determination Assays
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DockoMatic: automated peptide analog creation for high throughput virtual screening.

Reed B Jacob1, Casey W Bullock, Tim Andersen

  • 1Department of Chemistry and Biochemistry, Boise State University, Boise, Idaho 83725, USA.

Journal of Computational Chemistry
|July 1, 2011
PubMed
Summary

DockoMatic software now generates cyclic peptide analog structures from protein database files, accurately predicting binding affinity and orientation. It also efficiently screens large molecular datasets for drug discovery.

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Last Updated: May 31, 2026

Automated Acoustic Dispensing for the Serial Dilution of Peptide Agonists in Potency Determination Assays
08:06

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Published on: November 10, 2016

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Published on: June 30, 2013

Synthesis of Information-bearing Peptoids and their Sequence-directed Dynamic Covalent Self-assembly
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Area of Science:

  • Computational chemistry
  • Structural biology
  • Drug discovery

Background:

  • Accurate prediction of peptide-ligand interactions is crucial for drug discovery.
  • Generating and testing novel peptide analogs requires efficient computational tools.

Purpose of the Study:

  • To introduce an updated DockoMatic version for generating cyclic peptide analog structures from protein database (PDB) files.
  • To assess the accuracy of DockoMatic's peptide analog structure generation.
  • To evaluate the high-throughput screening capabilities of DockoMatic.

Main Methods:

  • DockoMatic's graphical user interface was used with Treepack to create user-defined peptide analogs.
  • Generated cyclic peptide analogs were validated against experimentally determined structures from the Research Collaboratory for Structural Bioinformatics (RCSB) database.
  • Binding affinity and structural consistency were tested using alpha-conotoxins and acetylcholine binding protein models.

Main Results:

  • DockoMatic predicts binding energy within 3.5 kcal/mol and ligand orientation within 1.8 Å root mean square deviation compared to experimental data.
  • High-throughput screening of 10,000 AutoDock jobs was completed in under 2 hours.
  • Screening 100,000 jobs took approximately 15 hours, with 1,000,000 jobs estimated to take a week.

Conclusions:

  • The updated DockoMatic software accurately generates cyclic peptide analogs and predicts their binding characteristics.
  • DockoMatic demonstrates significant high-throughput virtual screening capacity, accelerating drug discovery processes.