Update and Potential Opportunities in CBP [Cyclic Adenosine Monophosphate (cAMP) Response Element-Binding Protein (CREB)-Binding Protein] Research Using Computational Techniques

被引：6

作者：

Akinsiku, Oluwayimika E. ^{[1
]}

Soremekun, Opeyemi S. ^{[1
]}

Soliman, Mahmoud E. S. ^{[1
]}

机构：

[1] Univ KwaZulu Natal, Sch Hlth Sci, Mol Biocomputat & Drug Design Lab, Westville Campus, ZA-4001 Durban, South Africa

来源：

PROTEIN JOURNAL | 2021年 / 40卷 / 01期

基金：

新加坡国家研究基金会;

关键词：

CREB; Molecular dynamic simulation; CREB inhibitors; Bromodomains; MOLECULAR-DYNAMICS SIMULATIONS; E1A-ASSOCIATED PROTEIN; CBP/P300; BROMODOMAIN; DOCKING; CREB; LIGAND; ACETYLATION; COACTIVATOR; COMPLEX; P300;

D O I：

10.1007/s10930-020-09951-8

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

CBP [cyclic adenosine monophosphate (cAMP) response element-binding protein (CREB)-binding protein] is one of the most researched proteins for its therapeutic function. Several studies have identified its vast functions and interactions with other transcription factors to initiate cellular signals of survival. In cancer and other diseases such as Alzheimer's, Rubinstein-taybi syndrome, and inflammatory diseases, CBP has been implicated and hence an attractive target in drug design and development. In this review, we explore the various computational techniques that have been used in CBP research, furthermore we identified computational gaps that could be explored to facilitate the development of highly therapeutic CBP inhibitors.

引用

页码：19 / 27

页数：9

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