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Patenting computer-designed peptides

S Patel1, I P Stott, M Bhakoo

  • 1Unilever Research, Port Sunlight Laboratory, Wirral, U.K.

Journal of Computer-Aided Molecular Design
|January 8, 1999
PubMed
Summary
This summary is machine-generated.

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Researchers developed novel bactericidal peptides using computer-aided molecular design. This method also enabled a new patent strategy by defining peptide space with a neural network model, enhancing intellectual property protection for new molecules.

Area of Science:

  • Biochemistry
  • Computational Chemistry
  • Drug Discovery

Background:

  • Designing peptides with specific properties, like bactericidal activity, is crucial.
  • Computer-Aided Molecular Design (CAMD) is increasingly used alongside traditional methods.
  • Existing patenting strategies for peptides often rely on regular structural templates.

Purpose of the Study:

  • To report the successful application of CAMD in discovering novel bactericidal peptides.
  • To introduce an innovative patenting approach using predictive models to define peptide space.
  • To compare the characteristics of this new patent space with existing ones.

Main Methods:

  • Utilized Genetic Algorithms and Neural Network models for molecular optimization and activity prediction.

Related Experiment Videos

  • Developed a novel patent application strategy employing a Neural Net predictive model.
  • Conducted a comparative analysis of bactericidal peptide patent spaces.
  • Main Results:

    • Successfully designed novel peptides exhibiting valuable bactericidal activity.
    • Demonstrated a new method for defining patentable regions in peptide space using predictive models.
    • Showcased a patent formalism that does not assume regularity in the peptide space.

    Conclusions:

    • CAMD is effective for discovering novel bioactive peptides.
    • Predictive models offer a flexible and powerful approach to defining intellectual property in peptide discovery.
    • This methodology advances both drug discovery and patent protection strategies.