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

94.5K
Overview
94.5K
Mutations01:35

Mutations

44.5K
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...
44.5K
Viral Mutations00:36

Viral Mutations

39.9K
A mutation is a change in the sequence of bases of DNA or RNA in a genome. Some mutations occur during replication of the genome due to errors made by the polymerase enzymes that replicate DNA or RNA. Unlike DNA polymerase, RNA polymerase is prone to errors because it is not capable of “proofreading” its work. Viruses with RNA-based genomes, like HIV, therefore accrue mutations faster than viruses with DNA-based genomes. Because mutation and recombination provide the raw material...
39.9K
Noncovalent Attractions in Biomolecules02:35

Noncovalent Attractions in Biomolecules

19.5K
19.5K
Noncovalent Attractions in Biomolecules02:35

Noncovalent Attractions in Biomolecules

64.9K
Noncovalent attractions are associations within and between molecules that influence the shape and structural stability of complexes. These interactions differ from covalent bonding in that they do not involve sharing of electrons.
Four types of noncovalent interactions are hydrogen bonds, van der Waals forces, ionic bonds, and hydrophobic interactions.
Hydrogen bonding results from the electrostatic attraction of a hydrogen atom covalently bonded to a strong-electronegative atom like oxygen,...
64.9K
Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

64.3K
In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).
64.3K

You might also read

Related Articles

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

Sort by
Same author

Accelerated Reaction Exploration across Scales: A Hybrid Operando and Modeling Study of Oxidation Kinetics in Monolayer Tungsten Disulfide.

Journal of the American Chemical Society·2026
Same author

Comparison of predictive approaches to the dynamics of activated catalytic processes.

Physical chemistry chemical physics : PCCP·2026
Same author

Comparison of Protein-Glycosaminoglycan Interactions in ff14sb/GLYCAM06j-1 and CHARMM36m Force Fields.

Journal of chemical information and modeling·2026
Same author

Energy Landscape Analysis of Membrane Proteins Using NMR-Based Hybrid Restraint Potentials.

Journal of chemical theory and computation·2026
Same author

Energy landscapes of the water hexamer and octamer for the MB-pol and TIP4P/2005 potentials.

The Journal of chemical physics·2026
Same author

Visualizing the energy landscape for a molecular dynamics trajectory.

The Journal of chemical physics·2026
Same journal

Accurate Density Functional Theory Forces for Charged Noncovalent Complexes.

The journal of physical chemistry letters·2026
Same journal

Dopant-Centered versus Intersite Synergistic Mechanisms in H<sub>2</sub> Dissociation on Single-Atom Alloys.

The journal of physical chemistry letters·2026
Same journal

Post-Translational Modification as an Allosteric Switch in Hsp90: How Dual Phosphorylation Locks Chaperone Complexes into Hyperstabilized States.

The journal of physical chemistry letters·2026
Same journal

LHCSR1 Functions as a Dimmer Switch for Light Harvesting.

The journal of physical chemistry letters·2026
Same journal

Sparse Linear Surrogates Match Neural Network Potentials on the SPICE Biomolecular Benchmark with Three Orders of Magnitude Smaller Training Sets.

The journal of physical chemistry letters·2026
Same journal

Solid-State NMR Quantification of Brønsted-Lewis Acid Site Cooperativity in Zeolites for Glucose Conversion.

The journal of physical chemistry letters·2026
See all related articles

Related Experiment Video

Updated: Feb 4, 2026

Author Spotlight: Advancing the Detection of Low-Frequency Mutations in Cancer Tissues
07:17

Author Spotlight: Advancing the Detection of Low-Frequency Mutations in Cancer Tissues

Published on: August 23, 2024

1.8K

Mutational Basin-Hopping: Combined Structure and Sequence Optimization for Biomolecules.

Konstantin Röder1, David J Wales1

  • 1Department of Chemistry , University of Cambridge , Lensfield Road , Cambridge CB2 1EW , U.K.

The Journal of Physical Chemistry Letters
|October 10, 2018
PubMed
Summary
This summary is machine-generated.

Designing artificial biomolecules is challenging. A new mutational basin-hopping method optimizes sequence and structure simultaneously for stability and desired functions like binding affinity.

More Related Videos

Wild-type Blocking PCR Combined with Direct Sequencing as a Highly Sensitive Method for Detection of Low-Frequency Somatic Mutations
10:41

Wild-type Blocking PCR Combined with Direct Sequencing as a Highly Sensitive Method for Detection of Low-Frequency Somatic Mutations

Published on: March 29, 2017

12.4K
Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells
10:34

Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells

Published on: December 9, 2022

5.2K

Related Experiment Videos

Last Updated: Feb 4, 2026

Author Spotlight: Advancing the Detection of Low-Frequency Mutations in Cancer Tissues
07:17

Author Spotlight: Advancing the Detection of Low-Frequency Mutations in Cancer Tissues

Published on: August 23, 2024

1.8K
Wild-type Blocking PCR Combined with Direct Sequencing as a Highly Sensitive Method for Detection of Low-Frequency Somatic Mutations
10:41

Wild-type Blocking PCR Combined with Direct Sequencing as a Highly Sensitive Method for Detection of Low-Frequency Somatic Mutations

Published on: March 29, 2017

12.4K
Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells
10:34

Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells

Published on: December 9, 2022

5.2K

Area of Science:

  • Biophysics
  • Computational Biology
  • Molecular Design

Background:

  • Proteins and nucleic acids achieve native structures via evolutionarily adapted energy landscapes.
  • Stable, minimally frustrated, and functional sequences are crucial for artificial biomolecule design.
  • Current design methods face challenges in replicating natural sequence-structure-function relationships.

Purpose of the Study:

  • To present an efficient computational method for designing artificial biomolecules.
  • To optimize both the energetic stability and specific functional properties of designed sequences.
  • To address the challenge of creating stable and functional artificial nucleic acids and proteins.

Main Methods:

  • Introduction of a biminimization approach termed mutational basin-hopping.
  • Simultaneous global optimization of the system's energy and a target function for desired properties.
  • Application of a generalized basin-hopping method for sequence and structure optimization.

Main Results:

  • The mutational basin-hopping method provides an efficient design process.
  • The approach allows for simultaneous optimization of energy and target properties.
  • Demonstrated potential to target specific biomolecular characteristics like binding affinity and solubility.

Conclusions:

  • The developed mutational basin-hopping approach offers an efficient strategy for artificial biomolecule design.
  • This method facilitates the creation of stable, functional sequences by optimizing energy landscapes.
  • The approach is versatile and can be applied to target various desired properties in biomolecular design.