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

Protein Kinases and Phosphatases02:54

Protein Kinases and Phosphatases

15.2K
Proteins undergo chemical modifications that trigger changes in the charge, structure, and conformation of the proteins. Phosphorylation, acetylation, glycosylation, nitrosylation, ubiquitination, lipidation, methylation, and proteolysis are various protein modifications that regulate protein activity. Such modifications are usually enzyme-driven.
Protein kinases
Many proteins in the cell are regulated by phosphorylation, the addition of a phosphate group. A family of enzymes called kinases...
15.2K
Protein Kinases and Phosphatases02:54

Protein Kinases and Phosphatases

4.5K
4.5K
Methods of Classification and Identification01:28

Methods of Classification and Identification

1.3K
Bacterial identification relies on a diverse array of techniques to classify and understand microorganisms, each tailored to uncover specific characteristics. Traditional morphological approaches, while still valuable, are limited for closely related or structurally simple organisms. Modern methods integrate biochemical, serological, genetic, and advanced molecular tools to achieve greater accuracy.Morphological and Biochemical TechniquesMorphological characteristics, such as cell shape and...
1.3K
Relationship Formation02:12

Relationship Formation

46.3K
What do you think is the single most influential factor in determining with whom you become friends and whom you form romantic relationships? You might be surprised to learn that the answer is simple: the people with whom you have the most contact. This most important factor is proximity. You are more likely to be friends with people you have regular contact with. For example, there are decades of research that shows that you are more likely to become friends with people who live in your dorm,...
46.3K
Ending Relationships01:28

Ending Relationships

207
The dissolution of intimate relationships presents complex emotional and psychological challenges, particularly when emotional bonds are strong, the relationship is long-standing, and perceived alternatives are limited. This distress often intensifies in romantic breakups, where the initiator may experience greater turmoil than the rejected partner. Contributing factors include residual attachment, guilt over causing pain, and uncertainty about how to manage the situation. The stress is further...
207
Pharmacokinetic–Pharmacodynamic Relationship: Duration of Dose-Effect Relationship01:14

Pharmacokinetic–Pharmacodynamic Relationship: Duration of Dose-Effect Relationship

24
For drugs producing a quantal response, onset occurs when plasma concentration reaches a minimum effective level (Cmin). The drug's action duration depends on how long the plasma concentration remains above Cmin.Two primary factors influence this duration: dose size and the rate of drug removal from the action site. Both depend on the drug's redistribution to poorly perfused tissues and elimination processes. A larger dose promotes rapid onset and prolongs the effect's duration.Consider a...
24

You might also read

Related Articles

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

Sort by
Same author

Genome-wide DNA methylation dynamics and RNA-seq analysis during grape (cv. 'Cabernet Franc') skin coloration.

Genomics·2024
Same author

Delivery Strategies for Colchicine as a Critical Dose Drug: Reducing Toxicity and Enhancing Efficacy.

Pharmaceutics·2024
Same author

Occult urothelial carcinoma with mediastinal metastasis: A case report.

Oncology letters·2024
Same author

Phase Identification and Discovery of an Elusive Polymorph of Drug-Polymer Inclusion Complex Using Automated 3D Electron Diffraction.

Angewandte Chemie (International ed. in English)·2024
Same author

Mediating and moderating effects of authoritative parenting styles on adolescent behavioral problems.

Frontiers in psychology·2024
Same author

A transformer-based diffusion probabilistic model for heart rate and blood pressure forecasting in Intensive Care Unit.

Computer methods and programs in biomedicine·2024

Related Experiment Video

Updated: Feb 15, 2026

Identification of Kinase-substrate Pairs Using High Throughput Screening
11:13

Identification of Kinase-substrate Pairs Using High Throughput Screening

Published on: August 29, 2015

8.6K

ksrMKL: a novel method for identification of kinase-substrate relationships using multiple kernel learning.

Minghui Wang1,2, Tao Wang1, Ao Li1,2

  • 1School of Information Science and Technology, University of Science and Technology of China, Hefei, China.

Peerj
|January 18, 2018
PubMed
Summary

We developed ksrMKL, a novel computational method using multiple kernel learning, to accurately identify kinase-substrate relationships. This tool shows improved performance over existing methods, aiding disease research and drug design.

Keywords:
Kinase identificationKinase–substrate relationshipsMultiple kernel learningPhosphorylationksrMKL

More Related Videos

Identification of Novel CK2 Kinase Substrates Using a Versatile Biochemical Approach
11:11

Identification of Novel CK2 Kinase Substrates Using a Versatile Biochemical Approach

Published on: February 21, 2019

7.9K
Identification of Cyclin-dependent Kinase 1 Specific Phosphorylation Sites by an In Vitro Kinase Assay
12:26

Identification of Cyclin-dependent Kinase 1 Specific Phosphorylation Sites by an In Vitro Kinase Assay

Published on: May 3, 2018

19.4K

Related Experiment Videos

Last Updated: Feb 15, 2026

Identification of Kinase-substrate Pairs Using High Throughput Screening
11:13

Identification of Kinase-substrate Pairs Using High Throughput Screening

Published on: August 29, 2015

8.6K
Identification of Novel CK2 Kinase Substrates Using a Versatile Biochemical Approach
11:11

Identification of Novel CK2 Kinase Substrates Using a Versatile Biochemical Approach

Published on: February 21, 2019

7.9K
Identification of Cyclin-dependent Kinase 1 Specific Phosphorylation Sites by an In Vitro Kinase Assay
12:26

Identification of Cyclin-dependent Kinase 1 Specific Phosphorylation Sites by an In Vitro Kinase Assay

Published on: May 3, 2018

19.4K

Area of Science:

  • Biochemistry
  • Computational Biology
  • Bioinformatics

Background:

  • Phosphorylation, catalyzed by protein kinases, is vital for cellular processes.
  • Dysregulation of phosphorylation is linked to numerous diseases.
  • Identifying kinase-substrate relationships is crucial for understanding phosphorylation and developing targeted therapies.

Purpose of the Study:

  • To develop a novel computational method for identifying kinase-substrate relationships.
  • To evaluate the performance of the new method against existing tools and single-kernel approaches.

Main Methods:

  • Development of a novel computational method based on multiple kernel learning (ksrMKL).
  • Comparative analysis using 10-fold cross-validation on the Phospho.ELM database.
  • Validation on an independent dataset from the PhosphoSitePlus database.

Main Results:

  • ksrMKL demonstrated significant improvements in prediction accuracy compared to single-kernel support vector machines.
  • ksrMKL outperformed two existing kinase-substrate prediction tools, iGPS and PKIS, on an independent test dataset.

Conclusions:

  • The novel ksrMKL method offers enhanced prediction performance for kinase-substrate relationships.
  • ksrMKL provides a valuable tool for advancing phosphorylation research, disease understanding, and drug discovery efforts.