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Updated: Oct 14, 2025

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
Published on: April 4, 2018
Computational and structural based approach to identify malignant nonsynonymous single nucleotide polymorphisms
Rahatul Islam1, Mashiur Rahaman1, Hammadul Hoque1
1Department of Genetic Engineering and Biotechnology, School of Life Sciences, Shahjalal University of Science and Technology, Sylhet, Bangladesh.
Abstract:
Cycline-dependent kinase 4 (CDK4), an enzyme of the cycline dependent or Ser/Thr protein kinase family, plays a role in cell cycle progression (G1 phase) by phosphorylating a tumor suppressor protein called pRB. Alteration of this enzyme due to missense mutation/ nonsynonymous single nucleotide polymorphisms (nsSNPs) are responsible for various types of cancer progression, e.g. melanoma, lung cancer, and breast cancer. Hence, this study is designed to identify the malignant missense mutation of CDK4 from the single nucleotide polymorphism database (dbSNP) by incorporating computational algorithms. Out of 239 nsSNPs; G15S, D140Y and D140H were predicted to be highly malignant variants which may have a devastating impact on protein structure or function. We also found defective binding motif of these three mutants with the CDK4 inhibitor ribociclib and ATP. However, by incorporating molecular dynamic simulation, our study concludes that the superiority of G15S than the other two mutants (D140Y and D140H) in destabilizing proteins nature.
Insights
This study identified highly malignant mutations in Cyclin-dependent kinase 4 (CDK4), linked to cancer progression. The G15S mutation was found to be the most destabilizing to the CDK4 protein structure and function.
Area of Science:
- Biochemistry
- Molecular Biology
- Genetics
Background:
- Cyclin-dependent kinase 4 (CDK4) is crucial for cell cycle G1 phase progression.
- Aberrant CDK4 activity, driven by missense mutations and nsSNPs, contributes to various cancers, including melanoma, lung, and breast cancer.
- Understanding the impact of these mutations is vital for cancer research and therapeutic development.
Purpose of the Study:
- To computationally identify and characterize highly malignant missense mutations in CDK4.
- To assess the functional impact of these mutations on protein structure, stability, and drug binding.
- To compare the destabilizing effects of identified CDK4 variants.
Main Methods:
- Utilized computational algorithms to analyze nsSNPs from the dbSNP database for CDK4.
- Predicted the pathogenicity of missense mutations.
- Employed molecular dynamic simulations to evaluate protein stability and binding interactions with ATP and ribociclib.
Main Results:
- Identified G15S, D140Y, and D140H as highly malignant CDK4 missense mutations from 239 nsSNPs.
- These mutations showed altered binding motifs for the CDK4 inhibitor ribociclib and ATP.
- Molecular dynamic simulations indicated G15S is more destabilizing to CDK4 than D140Y and D140H.
Conclusions:
- The G15S, D140Y, and D140H mutations represent significant threats to CDK4 function and protein integrity.
- The G15S mutation exhibits a pronounced destabilizing effect on CDK4.
- These findings highlight potential therapeutic targets and inform strategies for inhibiting oncogenic CDK4 variants.
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