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

Noncovalent Attractions in Biomolecules02:35

Noncovalent Attractions in Biomolecules

19.6K
19.6K
Noncovalent Attractions in Biomolecules02:35

Noncovalent Attractions in Biomolecules

65.1K
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,...
65.1K
Frustration and Conflict: Approach-Approach, Approach-Avoidance01:20

Frustration and Conflict: Approach-Approach, Approach-Avoidance

540
Frustration occurs when people are obstructed or prevented from achieving a desired goal or fulfilling a perceived need. For example, when someone's input is ignored in a discussion, it can lead to feelings of frustration. Conflict, however, arises from opposing interests, goals, or actions. Conflicts can take various forms based on the nature of these opposing desires or goals.
One common type of conflict is the Approach–Approach Conflict. In this case, a person faces two desirable...
540
Frustration and Conflict: Avoidance-Avoidance, Double-Approach Avoidance01:14

Frustration and Conflict: Avoidance-Avoidance, Double-Approach Avoidance

694
Avoidance-avoidance conflict refers to a psychological situation where a person must choose between two or more unpleasant alternatives. These conflicts are particularly stressful because neither option is desirable. This dilemma is often expressed in sayings like "caught between a rock and a hard place" or "between the devil and the deep blue sea." For instance, individuals who fear dental procedures may find themselves torn between enduring a painful toothache or facing the...
694
Types of Errors: Detection and Minimization01:12

Types of Errors: Detection and Minimization

11.4K
Error is the deviation of the obtained result from the true, expected value or the estimated central value. Errors are expressed in absolute or relative terms.
Absolute error in a measurement is the numerical difference from the true or central value. Relative error is the ratio between absolute error and the true or central value, expressed as a percentage.
Errors can be classified by source, magnitude, and sign. There are three types of errors: systematic, random, and gross.
Systematic or...
11.4K
Animal Mitochondrial Genetics02:59

Animal Mitochondrial Genetics

9.3K
Among all the organelles in an animal cell, only mitochondria have their own independent genomes. Animal mitochondrial DNA is a double-stranded, closed-circular molecule with around 20,000 base pairs. Mitochondrial DNA is unique in that one of its two strands, the heavy, or H, -strand is guanine rich, whereas the complementary strand is cytosine rich and called the light, or L, -strand. Compared to nuclear DNA, mitochondrial DNA has a very low percentage of non-coding regions and is marked by...
9.3K

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

Divergent Aggregation Pathways of DNA-AuNPs: Non-Watson-Crick Assembly Mediated by Structurally Diverse Electrolytes.

The journal of physical chemistry. B·2026
Same journal

Assessing Fluoroacetate Defluorination Potential across Diverse Enzymes Using Quantum Chemistry.

The journal of physical chemistry. B·2026
Same journal

Na<b><sup>+</sup></b> Solvation and Association in Na(SO<sub>3</sub>CF<sub>3</sub>)-Dimethoxyethane Electrolytes by Large-Angle X-Ray Scattering and DFT Calculations.

The journal of physical chemistry. B·2026
Same journal

Donor-Acceptor Separation Augments Temperature Dependence of Kinetic Isotope Effects in NADH Model Hydride Transfer Reactions: Mimicking Enzyme versus Mutant Dynamics.

The journal of physical chemistry. B·2026
Same journal

Disordered Worm-Like Clusters in a Hexagonal Mesophase Former: Simulation and Thermodynamic Description.

The journal of physical chemistry. B·2026
Same journal

Comparative Biophysical Analysis of Healthy and Inflamed Intestinal Membrane Models Using Langmuir Monolayers.

The journal of physical chemistry. B·2026
See all related articles

Related Experiment Video

Updated: Feb 10, 2026

Designing Automated, High-throughput, Continuous Cell Growth Experiments Using eVOLVER
07:26

Designing Automated, High-throughput, Continuous Cell Growth Experiments Using eVOLVER

Published on: May 19, 2019

12.8K

Evolved Minimal Frustration in Multifunctional Biomolecules.

Konstantin Röder1, David J Wales1

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

The Journal of Physical Chemistry. B
|May 26, 2018
PubMed
Summary
This summary is machine-generated.

Biomolecules with multiple functions may have evolved minimal protein folding funnels. Disrupting mutations increase funnels and structural diversity, guiding the design of new biomolecules.

More Related Videos

Internalization and Observation of Fluorescent Biomolecules in Living Microorganisms via Electroporation
15:27

Internalization and Observation of Fluorescent Biomolecules in Living Microorganisms via Electroporation

Published on: February 8, 2015

17.5K
Quantitative Analysis by Thermogravimetry-Mass Spectrum Analysis for Reactions with Evolved Gases
06:51

Quantitative Analysis by Thermogravimetry-Mass Spectrum Analysis for Reactions with Evolved Gases

Published on: October 29, 2018

10.1K

Related Experiment Videos

Last Updated: Feb 10, 2026

Designing Automated, High-throughput, Continuous Cell Growth Experiments Using eVOLVER
07:26

Designing Automated, High-throughput, Continuous Cell Growth Experiments Using eVOLVER

Published on: May 19, 2019

12.8K
Internalization and Observation of Fluorescent Biomolecules in Living Microorganisms via Electroporation
15:27

Internalization and Observation of Fluorescent Biomolecules in Living Microorganisms via Electroporation

Published on: February 8, 2015

17.5K
Quantitative Analysis by Thermogravimetry-Mass Spectrum Analysis for Reactions with Evolved Gases
06:51

Quantitative Analysis by Thermogravimetry-Mass Spectrum Analysis for Reactions with Evolved Gases

Published on: October 29, 2018

10.1K

Area of Science:

  • Biophysics
  • Structural Biology
  • Computational Chemistry

Background:

  • Protein folding is commonly modeled using a single free energy landscape.
  • Emerging evidence suggests multifunnel landscapes exist for multifunctional biomolecules.

Purpose of the Study:

  • To investigate the relationship between protein function and the number of folding funnels.
  • To explore the evolutionary principles governing multifunnel landscapes.
  • To provide insights for designing engineered multifunctional biomolecules.

Main Methods:

  • Analysis of experimental data on multifunctional biomolecules.
  • Computational modeling of protein folding landscapes.
  • Examination of mutation effects on funnel diversity.

Main Results:

  • Multifunctional biomolecules exhibit the minimal number of funnels necessary for their functions.
  • Minimal disruptive mutations lead to an increase in the number of funnels.
  • Increased funnels correlate with greater structural ensemble diversity.
  • Similar trends were observed in atomic clusters.

Conclusions:

  • The principle of minimum frustration can be extended to multifunnel landscapes.
  • Evolution favors optimized funnel numbers for cellular functions.
  • Findings offer a framework for the rational design of novel multifunctional proteins.