Molecular Bio-computation and Drug Design Laboratory, School of Health Sciences, University of KwaZulu-Natal, Westville Campus, Durban, 4001, South Africa.
Protein J. 2021 Feb;40(1):19-27. doi: 10.1007/s10930-020-09951-8. Epub 2021 Jan 4.
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.
CBP（环磷酸腺苷反应元件结合蛋白-结合蛋白）是研究最多的具有治疗功能的蛋白质之一。多项研究已经确定了其广泛的功能以及与其他转录因子的相互作用，以启动细胞存活信号。在癌症和其他疾病（如阿尔茨海默病、鲁宾斯坦-泰比综合征和炎症性疾病）中，CBP 已被牵涉在内，因此成为药物设计和开发的有吸引力的靶标。在这篇综述中，我们探讨了在 CBP 研究中使用的各种计算技术，此外还确定了可以探索的计算空白，以促进高度治疗性 CBP 抑制剂的开发。
