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Related Experiment Video

Updated: Mar 17, 2026

Split-and-pool Synthesis and Characterization of Peptide Tertiary Amide Library

Split-and-pool Synthesis and Characterization of Peptide Tertiary Amide Library

Published on: June 20, 2014

Mimicking Peptides… In Silico.

Matteo Floris¹, Stefano Moro²

¹CRS4, Biomedicine Sector, Parco Polaris, Pula (CA) 09010, Italy.

Molecular Informatics

|August 2, 2016

Summary

This summary is machine-generated.

This review summarizes computational methods for designing peptidomimetics. These drug-like molecules mimic peptides to target protein-protein interactions, aiding disease treatment.

Keywords:

Drug discovery In silico methods Peptidomimetics

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Last Updated: Mar 17, 2026

Split-and-pool Synthesis and Characterization of Peptide Tertiary Amide Library

Split-and-pool Synthesis and Characterization of Peptide Tertiary Amide Library

Published on: June 20, 2014

Peptide-based Identification of Functional Motifs and their Binding Partners

Peptide-based Identification of Functional Motifs and their Binding Partners

Published on: June 30, 2013

A High Throughput MHC II Binding Assay for Quantitative Analysis of Peptide Epitopes

A High Throughput MHC II Binding Assay for Quantitative Analysis of Peptide Epitopes

Published on: March 25, 2014

Area of Science:

Biochemistry and Molecular Biology
Drug Discovery and Development
Computational Chemistry

Background:

Protein-protein interactions (PPIs) are fundamental to cellular processes.
Understanding PPIs is key for developing novel therapeutics.
Peptide-based drug design (PBDD) offers a promising avenue for targeting PPIs.

Purpose of the Study:

To review recent advancements in computational methods for designing peptidomimetics.
To highlight the application of these methods in targeting therapeutically relevant PPIs.
To provide an overview of the current state-of-the-art in computational peptidomimetic design.

Main Methods:

Review of computational approaches for peptidomimetic design.
Analysis of methods targeting protein-protein recognition processes.
Summary of techniques for improving pharmacokinetic profiles of peptide mimetics.

Main Results:

Identification of emerging computational strategies in peptidomimetic design.
Demonstration of the potential of peptidomimetics in modulating PPIs.
Highlighting the advantages of peptidomimetics over traditional peptides.

Conclusions:

Computational methods are rapidly advancing the field of peptidomimetic design.
Peptidomimetics represent a valuable class of therapeutics for targeting PPIs.
Further development of computational tools will accelerate the discovery of novel drugs for various diseases.