计算分析CCN1作为可药物向的目标,预测与生物活性化合物的相互作用
Roudy Bou Francis1, Racha Kerek1, Mohamad Rima2
1Department of Biological Sciences, Lebanese American University, Byblos, Lebanon.
这项研究通过计算评估了CCN1蛋白质的药用性,CCN1蛋白质是衰老和疾病的关键参与者. 它确定了美特福明和其他化合物作为潜在的调节剂,为药物发现提供了新的途径.
科学领域:
- 生物化学和分子生物学
- 计算机化药物发现技术
- 基因组学就是基因组学.
背景情况:
- CCN1是一种多功能蛋白质,与衰老,纤维化,炎症和癌症有关.
- 它的复杂作用使其成为治疗干预的重要目标.
- 评估CCN1的可药性对于开发向疗法至关重要.
研究的目的:
- 通过计算来评估CCN1蛋白的药用性.
- 为了确定CCN1活动的潜在小分子调节器.
- 建立一个可扩展的工作流程,用于CCN1向药物查.
主要方法:
- 使用AlphaFold 3预测的CCN1 3D结构.
- 使用Fpocket识别了绑定口袋.
- 评估了与SwissDock分子对接的联结体亲和力.
主要成果:
- 在CCN1.1中确定了多个高可靠性可用药口袋.
- 顶部口袋位于TSP-1和CTCK域之间.
- 甲胺显示出最高预测的亲和力 (-200.26 SwissDock AC分数).
- 在CCN1变种和口袋删除中,相互作用保持稳定,证实了遗传强度.
结论:
- CCN1是一种可用药物的点,具有治疗调节的潜力.
- 甲胺和其他化合物显示出在衰老和疾病中准CCN1的前景.
- 开发的in silico工作流程可以快速选针对CCN1的治疗方法.
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