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Update and Potential Opportunities in CBP [Cyclic Adenosine Monophosphate (cAMP) Response Element-Binding Protein
Oluwayimika E Akinsiku1, Opeyemi S Soremekun1, Mahmoud E S Soliman2
1Molecular Bio-computation and Drug Design Laboratory, School of Health Sciences, University of KwaZulu-Natal, Westville Campus, Durban, 4001, South Africa.
The Protein Journal
|January 4, 2021
Summary
Cyclic adenosine monophosphate (cAMP) response element-binding protein (CREB)-binding protein (CBP) is crucial for cellular survival and implicated in diseases like cancer. This review explores computational methods in CBP research and identifies gaps for developing new CBP inhibitors.
Area of Science:
- Biochemistry and Molecular Biology
- Drug Discovery and Development
- Computational Biology
Background:
- Cyclic adenosine monophosphate (cAMP) response element-binding protein (CREB)-binding protein (CBP) is a key protein involved in cellular signaling pathways.
- CBP's diverse functions and interactions with transcription factors are vital for cell survival.
- CBP is implicated in various diseases, including cancer, Alzheimer's, Rubinstein-Taybi syndrome, and inflammatory conditions, making it a significant drug target.
Purpose of the Study:
- To review and analyze the computational techniques employed in Cyclic adenosine monophosphate (cAMP) response element-binding protein (CREB)-binding protein (CBP) research.
- To identify existing computational gaps in the study of CBP.
- To guide the development of novel and effective CBP inhibitors for therapeutic applications.
Main Methods:
- Literature review of computational methodologies applied to CBP research.
- Analysis of studies focusing on CBP's role in disease pathogenesis.
- Identification of limitations and opportunities in current computational approaches.
Main Results:
- Various computational techniques have been utilized to study CBP's structure, function, and interactions.
- Significant progress has been made in understanding CBP's role in disease.
- Gaps exist in computational approaches for designing targeted CBP inhibitors.
Conclusions:
- Computational methods are essential tools for advancing CBP research.
- Addressing identified computational gaps can accelerate the development of targeted CBP therapeutics.
- Further exploration of computational strategies is needed to fully exploit CBP as a drug target.
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