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Related Concept Videos

Peptide Identification Using Tandem Mass Spectrometry01:33

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PepSeA: Peptide Sequence Alignment and Visualization Tools to Enable Lead Optimization.

Javier L Baylon1, Oleg Ursu1, Anja Muzdalo2

  • 1Computational and Structural Chemistry, Merck & Co., Inc., Boston, Massachusetts 02115, United States.

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|February 22, 2022
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Summary
This summary is machine-generated.

A new software tool, PepSeA (Peptide Sequence Alignment and Visualization), aids in designing therapeutic peptides. It enhances structure-activity relationship analysis and visualization for complex peptide drug discovery.

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Area of Science:

  • Medicinal Chemistry
  • Computational Biology
  • Drug Discovery

Background:

  • Therapeutic peptides offer advantages over small molecules for targeting difficult proteins.
  • Current peptide design tools lack robust capabilities for analyzing complex peptide structures, including non-natural motifs.
  • Structure-activity relationship (SAR) analysis and visualization are critical yet unmet needs in peptide drug discovery.

Purpose of the Study:

  • To develop an open-source software package, PepSeA, to address limitations in therapeutic peptide design.
  • To enable advanced sequence alignment and visualization for linear, cyclic, and cross-linked peptides with non-natural amino acids.
  • To accelerate decision-making in peptide lead optimization campaigns.

Main Methods:

  • Developed PepSeA, a Python package for sequence-based peptide analysis.
  • Implemented multiple sequence alignment for peptides containing non-natural amino acids.
  • Integrated enhanced visualization using the Hierarchical Editing Language for Macromolecules (HELM).

Main Results:

  • PepSeA facilitates the alignment and visualization of complex peptide sequences, including non-natural motifs.
  • Demonstrated PepSeA's utility through stepwise SAR analysis on a ChEMBL peptide dataset.
  • The tool accelerates the design-make-test cycle in pharmaceutical settings.

Conclusions:

  • PepSeA expands cheminformatics capabilities for therapeutic peptide design.
  • The software enables more efficient and rapid lead optimization for peptide-based drug discovery.
  • PepSeA supports the development of novel peptide therapeutics by improving SAR analysis and visualization.