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

Temperature and Thermal Equilibrium01:11

Temperature and Thermal Equilibrium

9.0K
Heat and temperature are essential concepts for everyone every day. The study of heat and temperature is part of an area of physics known as thermodynamics. It is not always easy to distinguish heat and temperature.
The concept of temperature has evolved from the common concepts of hot and cold. The scientific definition of temperature explains more than just our sense of hot and cold. Temperature is operationally defined as the quantity measured with a thermometer. Furthermore, temperature is...
9.0K
Thermal expansion and Thermal stress: Problem Solving01:27

Thermal expansion and Thermal stress: Problem Solving

2.0K
San Francisco's Golden Gate Bridge is exposed to temperatures ranging from -15 °C to 40 °C. At its coldest, the main span of the bridge is 1275 m long. Assuming that the bridge is made entirely of steel, what is the change in its length between these temperatures?
To solve the problem, first, identify the known and unknown quantities. The initial length (L) of the bridge is 1275 m, the coefficient of linear expansion (α) for steel is 12 x 10-6/°C, and the change in temperature (ΔT) is 55...
2.0K
Thermal Stress01:09

Thermal Stress

3.2K
If the temperature of an object is changed while it is prevented from expanding or contracting, the object is subjected to stress. The stress is compressive if the object expands in the absence of constraint and tensile if it contracts. This stress resulting from temperature change is known as thermal stress. It can be quite large and can cause damage. To avoid this stress, engineers may design components so they can expand and contract freely. For instance, on highways, gaps are deliberately...
3.2K
Diversity of Archaea IV01:29

Diversity of Archaea IV

348
Hyperthermophilic archaea are a group of extremophiles thriving at temperatures above 80°C, often in hydrothermal vents and volcanic soils where conditions surpass the boiling point of water. At such temperatures, proteins, membranes, and DNA in most organisms degrade, but hyperthermophiles have evolved remarkable adaptations to maintain stability and function.Unique Cellular FeaturesHyperthermophilic membranes are composed of a monolayer of biphytanyl tetraether lipids, which resist...
348
Effects of Temperature on Free Energy02:11

Effects of Temperature on Free Energy

27.8K
The spontaneity of a process depends upon the temperature of the system. Phase transitions, for example, will proceed spontaneously in one direction or the other depending upon the temperature of the substance in question. Likewise, some chemical reactions can also exhibit temperature-dependent spontaneities. To illustrate this concept, the equation relating free energy change to the enthalpy and entropy changes for the process is considered:
27.8K
Physical Methods for Controlling Microbial Growth: Temperature01:23

Physical Methods for Controlling Microbial Growth: Temperature

849
Heat is a widely used method to control microbial growth by targeting and denaturing cellular proteins, thereby killing or inactivating microbes. This method's effectiveness is quantified using parameters such as the thermal death point (TDP), thermal death time (TDT), and decimal reduction time (D value). TDP represents the lowest temperature at which all microorganisms in a liquid suspension are eliminated within 10 minutes, whereas TDT is the time necessary to achieve sterilization at a...
849

You might also read

Related Articles

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

Sort by
Same author

Linking somatic mutations in cancer to the electronic properties of DNA.

BMC genomics·2026
Same author

AbAgym: a well-curated dataset for the mutational analysis of antibody-antigen complexes.

mAbs·2025
Same author

Blind prediction of complex water and ion ensembles around RNA in CASP16.

bioRxiv : the preprint server for biology·2025
Same author

Blind Prediction of Complex Water and Ion Ensembles Around RNA in CASP16.

Proteins·2025
Same author

PInteract: Detecting Aromatic-Involving Motifs in Proteins and Protein-Nucleic Acid Complexes.

Biomolecules·2025
Same author

SOuLMuSiC, a novel tool for predicting the impact of mutations on protein solubility.

Scientific reports·2025
Same journal

Nanotechnology-Stem Cell Strategies in 3D Glioblastoma Organoid: Targeting Glioma Stem Cells Within a Complex Tumor Microenvironment.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Mapping the 3D Chromosome Organization of a Biosynthetic Gene Cluster by Capture Hi-C (CHi-C).

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Mapping the 3D Chromosome Organization of Streptomyces by Hi-C.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

CUT&Tag Epigenomic Profiling of Biosynthetic Gene Clusters in Arabidopsis thaliana.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Rhizobium rhizogenes-Mediated Hairy Root Transformation Protocol for Lotus japonicus and Other Legumes.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Characterization of Bioactive Saponins from Sea Cucumbers.

Methods in molecular biology (Clifton, N.J.)·2026
See all related articles

Related Experiment Video

Updated: Dec 29, 2025

Experimental Methods for Investigation of Shape Memory Based Elastocaloric Cooling Processes and Model Validation
11:11

Experimental Methods for Investigation of Shape Memory Based Elastocaloric Cooling Processes and Model Validation

Published on: May 2, 2016

11.5K

Protein Thermal Stability Engineering Using HoTMuSiC.

Fabrizio Pucci1, Jean Marc Kwasigroch2, Marianne Rooman2

  • 1Computational Biology and Bioinformatics, Université Libre de Bruxelles, Brussels, Belgium. fapucci@ulb.ac.be.

Methods in Molecular Biology (Clifton, N.J.)
|February 2, 2020
PubMed
Summary
This summary is machine-generated.

Computational tools like HoTMuSiC aid in designing thermostable enzymes by predicting mutation effects on protein melting temperature. This accelerates protein engineering for biotechnological applications requiring heat resistance.

Keywords:
Artificial neural networkLipaseProtein designProtein melting temperatureStatistical potentialsThermal stability

More Related Videos

Differential Scanning Calorimetry — A Method for Assessing the Thermal Stability and Conformation of Protein Antigen
08:13

Differential Scanning Calorimetry — A Method for Assessing the Thermal Stability and Conformation of Protein Antigen

Published on: March 4, 2017

40.1K
How to Stabilize Protein: Stability Screens for Thermal Shift Assays and Nano Differential Scanning Fluorimetry in the Virus-X Project
07:22

How to Stabilize Protein: Stability Screens for Thermal Shift Assays and Nano Differential Scanning Fluorimetry in the Virus-X Project

Published on: February 11, 2019

29.0K

Related Experiment Videos

Last Updated: Dec 29, 2025

Experimental Methods for Investigation of Shape Memory Based Elastocaloric Cooling Processes and Model Validation
11:11

Experimental Methods for Investigation of Shape Memory Based Elastocaloric Cooling Processes and Model Validation

Published on: May 2, 2016

11.5K
Differential Scanning Calorimetry — A Method for Assessing the Thermal Stability and Conformation of Protein Antigen
08:13

Differential Scanning Calorimetry — A Method for Assessing the Thermal Stability and Conformation of Protein Antigen

Published on: March 4, 2017

40.1K
How to Stabilize Protein: Stability Screens for Thermal Shift Assays and Nano Differential Scanning Fluorimetry in the Virus-X Project
07:22

How to Stabilize Protein: Stability Screens for Thermal Shift Assays and Nano Differential Scanning Fluorimetry in the Virus-X Project

Published on: February 11, 2019

29.0K

Area of Science:

  • Enzyme engineering
  • Computational biology
  • Protein science

Background:

  • Rational enzyme design is crucial for optimizing biotechnological processes.
  • Computational methods can screen amino acid substitutions to identify beneficial mutations.
  • Predicting mutation impact guides protein engineering efforts towards optimal stability.

Purpose of the Study:

  • To introduce HoTMuSiC, a computational tool for predicting the effect of point mutations on protein melting temperature.
  • To provide a fast and accurate method for thermal stability engineering.
  • To develop a pipeline for designing heat-resistant proteins for non-physiological conditions.

Main Methods:

  • HoTMuSiC utilizes experimental or modeled protein structures as input.
  • The tool predicts the impact of single amino acid substitutions on protein melting temperature.
  • A HoTMuSiC-based pipeline incorporates functional site and conservation data to avoid mutating critical residues.

Main Results:

  • HoTMuSiC demonstrates accuracy and speed in predicting thermal stability changes.
  • The developed pipeline successfully identified beneficial mutations for Rhizomucor miehei lipase.
  • The approach facilitates the design of enzymes with enhanced heat resistance.

Conclusions:

  • HoTMuSiC is an effective tool for protein thermal stability engineering.
  • The pipeline enhances enzyme design by considering functional constraints.
  • This methodology supports the development of robust enzymes for diverse biotechnological applications.