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 Concept Videos

Mutations01:39

Mutations

96.0K
Overview
96.0K
Mutations01:35

Mutations

45.4K
Mutations are changes in the sequence of DNA. These changes can occur spontaneously or they can be induced by exposure to environmental factors. Mutations can be characterized in a number of different ways: whether and how they alter the amino acid sequence of the protein, whether they occur over a small or large area of DNA, and whether they occur in somatic cells or germline cells.
Chromosomal Alterations Are Large-Scale Mutations
While point mutations are changes in a single nucleotide in...
45.4K
Point and Frameshift Mutations01:30

Point and Frameshift Mutations

1.6K
Point mutations are genetic alterations involving the change of a single nucleotide base pair in DNA. Depending on how the alteration affects protein synthesis, they can lead to various consequences.Point mutations fall into the following types:Silent mutations occur when a nucleotide change does not alter the amino acid sequence due to the redundancy of the genetic code. For instance, changing ACC to ACA still encodes threonine, leaving the protein function unaffected. This occurs because...
1.6K
Covalently Linked Protein Regulators02:04

Covalently Linked Protein Regulators

9.9K
Proteins can undergo many types of post-translational modifications, often in response to changes in their environment. These modifications play an important role in the function and stability of these proteins. Covalently linked molecules include functional groups, such as methyl, acetyl, and phosphate groups, and also small proteins, such as ubiquitin. There are around 200 different types of covalent regulators that have been identified.
These groups modify specific amino acids in a protein....
9.9K
Conservative Site-specific Recombination and Phase Variation02:53

Conservative Site-specific Recombination and Phase Variation

7.3K
Because the DNA segments are cut and reorganized in a direction-specific manner, site-specific recombination has emerged as an efficient genetic engineering technique. Flippase and Cyclization recombinases or Flp and Cre, respectively, are two members of the tyrosine recombinase family derived from bacteriophages, that are used to mediate site-specific DNA insertions, deletions, and targeted expression of proteins in mammalian cell lines.
The recognition sites for Cre recombinase called LoxP...
7.3K

You might also read

Related Articles

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

Sort by
Same author

The observation of starch digestion in blue mussel Mytilus galloprovincialis exposed to microplastic particles under varied food conditions.

PloS one·2021
Same author

Transient receptor potential channels TRPC1/TRPC6 regulate lamina cribrosa cell extracellular matrix gene transcription and proliferation.

Experimental eye research·2020
Same author

Evaluation of the Effect of Hypercapnia on Vascular Function in Normal Tension Glaucoma.

BioMed research international·2015
Same author

Calcium channel blockade reduces mechanical strain-induced extracellular matrix gene response in lamina cribrosa cells.

The British journal of ophthalmology·2015
Same author

Development of at-line assay to monitor charge variants of MAbs during production.

Biotechnology progress·2014
Same author

Genetic sexing in Drosophila melanogaster using the alcohol dehydrogenase locus and a Y-linked translocation.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·2013
Same journal

Combining bacterial display and protein language models to engineer a CD69-binding affibody for molecular imaging of immune activation.

Protein engineering, design & selection : PEDS·2026
Same journal

Examining selection dynamics and limitations in multi-round protein selection of high diversity libraries.

Protein engineering, design & selection : PEDS·2026
Same journal

A photo-enhanced oxidative coupling for site-specific protein Labeling via noncanonical amino acid incorporation.

Protein engineering, design & selection : PEDS·2026
Same journal

Engineering affibody domains as anti-idiotypic masks for nivolumab-based prodrugs.

Protein engineering, design & selection : PEDS·2026
Same journal

Integrating machine learning tools in protein design: a case of MHETase engineering for PET biodeconstruction.

Protein engineering, design & selection : PEDS·2026
Same journal

Computational redesign of a thermostable T7 RNA polymerase.

Protein engineering, design & selection : PEDS·2026
See all related articles

Related Experiment Video

Updated: Mar 21, 2026

Measuring Transcellular Interactions through Protein Aggregation in a Heterologous Cell System
04:47

Measuring Transcellular Interactions through Protein Aggregation in a Heterologous Cell System

Published on: May 22, 2020

4.0K

Modulating non-native aggregation and electrostatic protein-protein interactions with computationally designed

C J O'Brien1, M A Blanco1, J A Costanzo2

  • 1Department of Chemical and Biomolecular Engineering, University of Delaware, Newark, DE 19716, USA.

Protein Engineering, Design & Selection : PEDS
|May 11, 2016
PubMed
Summary
This summary is machine-generated.

Altering protein charge interactions can reduce aggregation in biotherapeutics. However, mutations may change aggregation mechanisms, requiring careful consideration for effective protein engineering.

Keywords:
computational designprotein aggregationprotein engineeringprotein–protein interactions

More Related Videos

Exploring Caspase Mutations and Post-Translational Modification by Molecular Modeling Approaches
05:56

Exploring Caspase Mutations and Post-Translational Modification by Molecular Modeling Approaches

Published on: October 13, 2022

1.9K
Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
07:08

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

7.8K

Related Experiment Videos

Last Updated: Mar 21, 2026

Measuring Transcellular Interactions through Protein Aggregation in a Heterologous Cell System
04:47

Measuring Transcellular Interactions through Protein Aggregation in a Heterologous Cell System

Published on: May 22, 2020

4.0K
Exploring Caspase Mutations and Post-Translational Modification by Molecular Modeling Approaches
05:56

Exploring Caspase Mutations and Post-Translational Modification by Molecular Modeling Approaches

Published on: October 13, 2022

1.9K
Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
07:08

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

7.8K

Area of Science:

  • Biochemistry
  • Protein Engineering
  • Biopharmaceutical Development

Background:

  • Non-native protein aggregation poses significant challenges in biopharmaceutical production, storage, and administration.
  • Controlling protein aggregation is crucial for the efficacy and safety of protein-based therapeutics.

Purpose of the Study:

  • To investigate the modulation of protein aggregation propensity by altering electrostatic protein-protein interactions.
  • To assess the impact of single-charge mutations on temperature-dependent aggregation rates of human γ-D crystallin.
  • To evaluate the predictive accuracy of molecular models for designing aggregation-resistant protein variants.

Main Methods:

  • Utilized molecular modeling to predict amino acid substitutions affecting protein-protein interactions while maintaining conformational stability.
  • Quantified experimental protein-protein interactions using Kirkwood-Buff integrals (G22) derived from laser scattering.
  • Measured initial rates of protein aggregation under varying temperature conditions.

Main Results:

  • Predicted electrostatic interactions showed semi-quantitative agreement with experimental Kirkwood-Buff integral (G22) measurements.
  • Increased repulsive electrostatic interactions significantly enhanced protein aggregation resistance, even with single-point mutations.
  • Specific mutations (e.g., E17 to R or K) altered aggregation mechanisms, diminishing the expected improvements in aggregation resistance.

Conclusions:

  • Predicting and modifying native protein-protein interactions is a viable strategy for engineering protein aggregation resistance.
  • The impact of mutations on aggregation mechanisms must be carefully considered alongside electrostatic interactions for successful protein design.
  • Balancing electrostatic modulation with mechanistic understanding is key to developing robust biotherapeutics.