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Updated: Jun 20, 2025

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引入酶分裂特征和转移学习实现了跨物种和器官准确的半衰期预测

Xiaorong Tan1, Qianhui Liu1, Yanpeng Fang1

  • 1Xiangya School of Pharmaceutical Sciences, Central South University, No. 172 Tongzipo Road, Yuelu District, Changsha 410083, P.R. China.

Briefings in bioinformatics
|July 22, 2024
PubMed
概括

人工智能准确地预测类药物的半衰期,克服了像酶敏感性这样的局限性. 这一突破增强了类药物开发,使得物种和器官之间可靠的半衰期评估成为可能.

关键词:
药物设计 药物设计酶分离的特征包括酶分离的特征.半衰期 半衰期 半衰期机器学习是机器学习.类药物是一种类药物.转移学习转移学习

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Protein digestion begins in the stomach, where the highly acidic environment can easily disrupt protein structure by exposing the peptide bonds of polypeptide chains. After polypeptide chains are broken into individual amino acids by a series of digestive enzymes, the amino acids are transported to the liver via the bloodstream to produce energy.
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