由人工智能驱动的新药发现,针对氨酸/氨酸激酶33用于癌症治疗
Na Ly Tran1, Hyerim Kim2, Cheol-Hee Shin3
1Department of Genetics and Biotechnology, College of Life Sciences, Kyung Hee University, Yongin-Si, 17104, Gyeonggi-Do, Korea.
Cancer cell international
|December 13, 2023
概括
人工智能识别了Z29077885,一种抗病毒剂,作为一种新的抗癌药物候选药物. 这种化合物向氨酸/氨酸激酶33 (STK33),诱导细胞亡和细胞循环停止,以有效治疗癌症.
科学领域:
- 在瘤学瘤学.
- 药理学 药理学是指药理学的学科.
- 生物技术是生物技术.
背景情况:
- 人工智能 (AI) 在药物开发中越来越多地被用于预测治疗关系和识别新药候选药物.
- 人工智能擅长整合庞大的数据集,包括基因表达和药物向相互作用,以加速药物发现管道.
研究的目的:
- 在癌症治疗中利用人工智能进行药物重新定位和目标识别.
- 发现和验证一种具有抗癌性能的新型小分子.
主要方法:
- 人工智能深度学习方法用于药物重新定位和目标识别.
- 候选药物Z29077885在体外通过MDA-MB 231和A549癌细胞系的细胞活力,西部斑块,细胞周期和亡试验来评估抗癌疗效.
- 在体内,使用A549异种移植模型在BALB/c裸体小鼠中评估了抗瘤疗效.
主要成果:
- 人工智能方法将Z29077885确定为一个有希望的新抗癌药物候选者.
- 在实验室中,Z29077885被证明可以抑制Serine/threonine kinase 33 (STK33) 的酶功能.
- 该化合物通过诱导亡和S相细胞循环停止,在各种癌症细胞系中表现出抗癌疗效.
- Z29077885在临床前体内异种移植模型中证实了显著的抗瘤活性.
结论:
- 一个人工智能驱动的战略成功地发现了一种新的抗癌剂Z29077885,准STK33.
- 该化合物有效诱导癌细胞亡和S相细胞循环停止,突出其治疗潜力.
- 这项研究证明了人工智能在加速发现新的抗癌药物的有效性.
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