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

94.4K
Overview
94.4K
Mutations01:35

Mutations

44.0K
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...
44.0K
Review and Preview01:10

Review and Preview

8.3K
In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
8.3K
Review and Preview01:13

Review and Preview

10.9K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
10.9K
Viral Mutations00:36

Viral Mutations

39.8K
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...
39.8K
RNA Stability01:53

RNA Stability

35.6K
Intact DNA strands can be found in fossils, while scientists sometimes struggle to keep RNA intact under laboratory conditions. The structural variations between RNA and DNA underlie the differences in their stability and longevity. Because DNA is double-stranded, it is inherently more stable. The single-stranded structure of RNA is less stable but also more flexible and can form weak internal bonds. Additionally, most RNAs in the cell are relatively short, while DNA can be up to 250 million...
35.6K

You might also read

Related Articles

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

Sort by
Same author

Machine learning-based prognosis and early death prediction in de novo stage IV breast cancer patients with bone metastasis: a SEER database and multicentre retrospective study.

Scientific reports·2026
Same author

Sparse Pd-Te Covalent Bridges Drive Anomalous Bulk-to-Monolayer Electronic and Magnetic Evolution in FePd<sub>2</sub>Te<sub>2</sub>.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Open reduction versus closed reduction percutaneous pinning for the treatment of song type V lateral humeral condyle fractures in children. A short term report.

Frontiers in pediatrics·2025
Same author

Combination screen in multi-cell type tumor spheroids reveals interaction between aryl hydrocarbon receptor antagonists and E1 ubiquitin-activating enzyme inhibitor.

SLAS discovery : advancing life sciences R & D·2024
Same author

Single-cell transcriptomic atlas reveals immune and metabolism perturbation of depression in the pathogenesis of breast cancer.

Cancer communications (London, England)·2024
Same author

Differential long-term bivalent HPV vaccine cross-protection by variants in the Costa Rica HPV vaccine trial.

NPJ vaccines·2024

Related Experiment Video

Updated: Jan 22, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.3K

A critical review of five machine learning-based algorithms for predicting protein stability changes upon mutation.

Jianwen Fang1

  • 1Computational & Systems Biology Branch, Biometric Research Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD 20850, USA.

Briefings in Bioinformatics
|July 6, 2019
PubMed
Summary

Machine learning models for predicting protein stability changes often overfit due to small datasets and uninformative features. This review suggests methods to improve model reliability and robustness in protein engineering.

Keywords:
computational predictionmutationprotein stabilityreliabilityreverse mutationrobustness

More Related Videos

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.4K
Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.7K

Related Experiment Videos

Last Updated: Jan 22, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.3K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.4K
Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.7K

Area of Science:

  • Computational Biology
  • Biochemistry
  • Machine Learning

Background:

  • Machine learning (ML) algorithms are increasingly used to predict protein stability changes caused by mutations.
  • Accurate prediction is crucial for protein engineering and understanding protein function.

Purpose of the Study:

  • To critically evaluate the performance of representative ML algorithms for predicting mutation-induced protein stability changes.
  • To identify the underlying causes of poor performance and suggest improvements.

Main Methods:

  • Utilized hypothetical reverse mutations to assess five ML algorithms.
  • Analyzed model performance, focusing on the overfitting problem.

Main Results:

  • All evaluated ML algorithms exhibited overfitting when predicting protein stability changes.
  • Overfitting was attributed to insufficient training data and non-informative features.

Conclusions:

  • Current ML algorithms for predicting protein stability changes require significant improvement to avoid overfitting.
  • Recommendations are provided to enhance the reliability and robustness of these algorithms for future research.