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Updated: Jul 1, 2025

Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation
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机器学习模型用于预测素1受体的连接物结合亲和力

Vanessa Y Zhang1,2,3, Shayna L O'Connor1,2, William J Welsh4

  • 1Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University and Rutgers Biomedical Health Sciences, Piscataway, NJ, USA.

Artificial intelligence chemistry
|March 13, 2024
PubMed
概括

研究人员开发了对素1受体 (OX1R) 配体的预测定量结构-活性关系 (QSAR) 模型. 这种方法确定了两种FDA批准的药物作为潜在的OX1R配体,有助于新药的发现.

关键词:
功能选择 功能选择虚伪的克里素 虚伪的克里素下丘脑的下丘脑是什么意思机器学习 机器学习矿物质和矿物质 (Orexin和Orexin) 是一种物质.在QSAR中使用QSAR.随机的森林随机的森林虚拟选是一个虚拟的选.

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