Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Engineered protein function by selective amino acid diversification.

Jeremy Minshull1, Sridhar Govindarajan, Tony Cox

  • 1DNA 2.0 Inc, Menlo Park, CA 94025, USA. jminshull@dnatwopointo.com

Methods (San Diego, Calif.)
|March 9, 2004
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Generation of high-expressing transposon-based stable pools to produce (1 + 1) and (2 + 1) bispecific common light chain antibodies.

Biotechnology progress·2026
Same author

Multiplexed antigen panel analysis identifies B cell phenotype and receptor genetic contributions to antibody breadth.

Immunity·2026
Same author

Second Volume of the Special Issue on: "Artificial Intelligence for Risk Analysis and the Risks of AI".

Risk analysis : an official publication of the Society for Risk Analysis·2026
Same author

Estimating safe doses of perfluorooctane sulfonate (PFOS): an international collaboration.

Archives of toxicology·2025
Same author

Electrochemical behavior and biocompatibility of TiO<sub>2</sub>@C core-shell NWs deposited by PECVD for cellular interface application.

RSC advances·2025
Same author

Data-driven consideration of genetic disorders for global genomic newborn screening programs.

Genetics in medicine : official journal of the American College of Medical Genetics·2025
Same journal

An accessible, absorbance-based plate reader assay to assess cumulative exposure of blood plasma & serum to thawed conditions.

Methods (San Diego, Calif.)·2026
Same journal

EC-isHCR: A rapid method for in situ hybridization chain reaction in diverse animal samples.

Methods (San Diego, Calif.)·2026
Same journal

Single-Molecule methods to investigate mechanisms of transcription by RNA polymerase of Mycobacterium tuberculosis.

Methods (San Diego, Calif.)·2026
Same journal

Detection and sequencing of Usutu virus during mosquito surveillance: Use of multiple assays and techniques for identification at low levels.

Methods (San Diego, Calif.)·2026
Same journal

Experimental validation of an AI-driven digital healthcare platform for oral health behavior and plaque assessment among vietnamese children.

Methods (San Diego, Calif.)·2026
Same journal

Zeta potential: An efficient and cost-effective alternative for investigating cell-surface interactions.

Methods (San Diego, Calif.)·2026
See all related articles

Protein engineering methods modify existing proteins by selecting amino acids for variation and empirical testing. The article details how experimental parameters guide the choice of protein engineering strategies.

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Protein Engineering

Background:

  • Current protein engineering relies on modifying naturally occurring proteins with existing properties.
  • A complete understanding of sequence-function relationships in proteins remains elusive.
  • All protein alteration methods involve selecting amino acids for variation and substitution.

Purpose of the Study:

  • To describe the differences between various protein engineering methods.
  • To provide examples illustrating method selection based on experimental parameters.
  • To guide researchers in choosing the most suitable protein engineering approach.

Main Methods:

  • Selection of amino acid subsets for variation.
  • Empirical testing of protein variants.

Related Experiment Videos

  • Iterative creation of new variants based on performance data.
  • Main Results:

    • Identified key differences in amino acid selection protocols.
    • Highlighted variations in variant creation strategies.
    • Demonstrated how experimental context influences method suitability.

    Conclusions:

    • The choice of protein engineering method is critically dependent on specific project parameters.
    • Understanding the nuances of different methods enhances engineering efficiency.
    • Further research into sequence-function relationships will refine protein engineering approaches.