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Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
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A Protocol for Functional Assessment of Whole-Protein Saturation Mutagenesis Libraries Utilizing High-Throughput Sequencing
11:36

A Protocol for Functional Assessment of Whole-Protein Saturation Mutagenesis Libraries Utilizing High-Throughput Sequencing

Published on: July 3, 2016

Rational protein sequence diversification by multi-codon scanning mutagenesis.

Jia Liu1, T Ashton Cropp

  • 1Department of Chemistry, Virginia Commonwealth University, Richmond, VA, USA.

Methods in Molecular Biology (Clifton, N.J.)
|February 21, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces a novel method for protein diversification using random codon mutations in DNA, enabling targeted amino acid changes. This approach offers an alternative to directed evolution for discovering proteins with enhanced functions.

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Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions

Published on: January 26, 2024

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Protein Engineering

Background:

  • Traditional methods like directed evolution are time-consuming for protein diversification.
  • There is a need for efficient strategies to explore protein sequence space for novel functions.

Purpose of the Study:

  • To present a new method for protein sequence diversification via random codon mutagenesis.
  • To provide a detailed protocol for applying this technology to any protein of interest.
  • To enable the generation of protein libraries for screening.

Main Methods:

  • Generating random codon mutations in the DNA sequence encoding a protein.
  • Introducing user-defined amino acid substitutions.
  • Creating diverse protein libraries.

Main Results:

  • The method allows for the systematic exploration of amino acid variations in proteins.
  • Generated libraries are suitable for screening for new or improved protein functions.

Conclusions:

  • This codon-based diversification method offers a powerful alternative to existing protein engineering strategies.
  • It facilitates the discovery of proteins with tailored or enhanced functional properties.