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Positive Regulator Molecules

Positive Regulator Molecules

Mitotic cell division results in daughter cells that exactly resemble the parent cell. However, errors in the DNA replication or distribution of genetic material may lead to genetic mutations that may be passed down to every new cell formed from the resulting abnormal cell. Propagation of such mutant cells is restricted through checkpoint mechanisms present at different stages of the cell cycle. These checkpoints involve regulator molecules that either promote or demote cell cycle events.

Positive Regulator Molecules

Positive Regulator Molecules

To consistently produce healthy cells, the cell cycle—the process that generates daughter cells—must be precisely regulated.

M-Cdk Drives Transition Into Mitosis

M-Cdk Drives Transition Into Mitosis

Checkpoints throughout the cell cycle serve as safeguards and gatekeepers, allowing the cell cycle to progress in favorable conditions and slow or halt it in problematic ones. This regulation is known as the cell cycle control system.
Cyclin-dependent kinases, or Cdks, work in concert with cyclins to control cell cycle transitions. M-Cdk, a complex of Cdk1 bound to M cyclin, is a well-known example of this coordinated control that drives the transition from the G2 to the M phase.
M cyclin...

M-Cdk Drives Transition Into Mitosis

M-Cdk Drives Transition Into Mitosis

Checkpoints throughout the cell cycle serve as safeguards and gatekeepers, allowing the cell cycle to progress in favorable conditions and slow or halt it in problematic ones. This regulation is known as the cell cycle control system.
Cyclin-dependent kinases, or Cdks, work in concert with cyclins to control cell cycle transitions. M-Cdk, a complex of Cdk1 bound to M cyclin, is a well-known example of this coordinated control that drives the transition from the G2 to the M phase.
M cyclin...

Inhibition of Cdk Activity

Inhibition of Cdk Activity

The orderly progression of the cell cycle depends on the activation of Cdk protein by binding to its cyclin partner. However, the cell cycle must be restricted when undergoing abnormal changes. Most cancers correlate to the deregulated cell cycle, and since Cdks are a central component of the cell cycle, Cdk inhibitors are extensively studied to develop anticancer agents. For instance, cyclin D associates with several Cdks, such as Cdk 4/6, to form an active complex. The cyclin D-Cdk4/6 complex...

Inhibition of CDK Activity

Inhibition of CDK Activity

The orderly progression of the cell cycle depends on the activation of Cdk protein by binding to its cyclin partner. However, the cell cycle must be restricted when undergoing abnormal changes. Most cancers correlate to the deregulated cell cycle, and since Cdks are a central component of the cell cycle, Cdk inhibitors are extensively studied to develop anticancer agents. For instance, cyclin D associates with several Cdks, such as Cdk 4/6, to form an active complex. The cyclin D-Cdk4/6 complex...

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Related Experiment Video

Updated: Jul 2, 2026

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

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

Published on: May 3, 2018

Cell cycle kinases predicted from conserved biophysical properties.

Kazimierz O Wrzeszczynski¹, Burkhard Rost

¹Department of Biochemistry and Molecular Biophysics, Columbia University, New York, New York 10032, USA.

|August 16, 2008

Summary

This study introduces a machine-learning method to identify cell cycle kinases using protein sequence. The approach accurately distinguishes these kinases, predicting 97 new candidates in the human proteome.

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Last Updated: Jul 2, 2026

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

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Published on: May 3, 2018

Monitoring Kinase and Phosphatase Activities Through the Cell Cycle by Ratiometric FRET

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Published on: January 27, 2012

Development of Inhibitors of Protein-protein Interactions through REPLACE: Application to the Design and Development Non-ATP Competitive CDK Inhibitors

Development of Inhibitors of Protein-protein Interactions through REPLACE: Application to the Design and Development Non-ATP Competitive CDK Inhibitors

Published on: October 26, 2015

Area of Science:

Biochemistry
Bioinformatics
Computational Biology

Background:

Homology transfer and motif analysis have limitations in classifying functionally related proteins.
Identifying cell cycle control kinases is crucial for understanding cell cycle regulation.

Purpose of the Study:

To develop a machine-learning method to identify cell cycle kinases from protein sequence alone.
To complement existing homology-transfer techniques for kinase classification.

Main Methods:

Identified functionally significant residues in cell cycle proteins based on conservation and biophysical properties.
Utilized support vector machines (SVM) incorporating residue features to classify kinases.
Analyzed residue conservation, localization (ATP binding sites), and accessibility predictions.

Main Results:

Highly conserved and semi-buried residues in ATP binding regions were informative for classification.
Achieved 70-80% accuracy and 62-81% coverage in distinguishing cell cycle serine/threonine (S/T) kinases from other kinase families.
Predicted at least 97 human proteins as potential cell cycle kinase candidates.

Conclusions:

Machine learning, focusing on conserved residues and their properties, effectively identifies cell cycle kinases.
The method enhances the prediction of kinases, especially those with limited prior annotation.
This approach aids in expanding the known human kinome involved in cell cycle control.