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智能CADD:AI-QM授权的药物发现平台,具有可解释性

Ayesh Madushanka¹, Eli Laird², Corey Clark²

¹Department of Chemistry, Southern Methodist University, Dallas, Texas 75205, United States.

Journal of chemical information and modeling

|August 23, 2024

概括

智能CADD是一个新的开源平台,集成人工智能 (AI),计算机辅助药物设计 (CADD) 和量子力学,以简化药物发现. 它解决了研究中的AI挑战,使潜在的候选药物的有效识别成为可能.

科学领域:

制药科学制药科学
计算化学的计算化学
生物技术是生物技术.

背景情况:

制药/生物技术领域的人工智能 (AI) 的采用正在增长,但面临着诸如模型不透明,实施复杂性和数据稀缺等挑战.
这些挑战阻碍了人工智能融入科学研究和药物发现工作流程.
现有的工具往往缺乏整合,需要单独使用各种计算方法.

研究的目的:

推出SmartCADD,一个开源的虚拟选平台,旨在克服药物发现中的AI整合挑战.
提供一个用户友好的Python框架,结合深度学习,CADD和量子力学.
简化创建全面的虚拟选工作流程.

主要方法:

开发一个使用Python的集成平台SmartCADD.
纳入深度学习,计算机辅助药物设计 (CADD) 和量子力学.
整合ADMET属性预测,药模拟,分子对接和可解释AI.

主要成果:

智能CADD成功地将多种不同的计算技术集成到一个统一的工作流中.
该平台在识别潜在的化合物方面表现出有效性,正如HIV抑制案例研究所示.
可解释的AI机制被纳入,以解决模型不透明的问题.

结论:

智能CADD民主化了对医药研究的先进人工智能和量子力学工具的访问.
该平台提高了药物发现和开发的效率和创新.
智能CADD代表了计算药物设计的重大进步.

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