关于OMIC,计算模型和药物安全性和有效性的先进查方法的最新进展
Ahrum Son1, Jongham Park2, Woojin Kim2
1Department of Molecular Medicine, Scripps Research, San Diego, CA 92037, USA.
了解药物毒性机制是更安全药物的关键. 先进的omics技术和计算工具有助于预测和预防开发早期的不良影响.
科学领域:
- 毒理学 毒理学 毒理学
- 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:
- 药物诱导的毒性在治疗开发中构成了重大挑战.
- 新药的安全性和有效性依赖于了解潜在的毒性机制.
研究的目的:
- 审查用于预测和评估药物毒性的技术和方法的进展.
- 突出OMIC,计算工具和先进建模之间的协同作用,以提高药物安全性.
主要方法:
- 用于途径识别的omics技术 (转录组学,蛋白质组学,代谢组学).
- 计算工具,如定量结构-活性关系 (QSAR) 和用于毒性预测的机器学习.
- 基于生理学的药理动力学 (PBPK) 建模和微生理系统 (MPS) 用于临床前到临床翻译.
主要成果:
- 欧米克技术可以提前识别潜在的不良影响.
- 在模型准确预测毒性终点.
- PBPK和MPS增强了临床前到临床的翻译,以更好地评估药物安全性.
结论:
- 选技术,in silico建模和omics数据的整合减少了药物开发后期的失败.
- 克服数据整合和解释方面的挑战至关重要.
- 研究人员,临床医生和监管机构之间的合作对于开发标准化的预测毒理学方法至关重要.
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