摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-人工智能的新研究e是一个报告的主题。根据来自葡萄牙科英布拉的新闻报道，NewsRx记者，研究称，“G蛋白偶联”受体(GPCRs)是参与细胞信号传导的关键分子，是一种吸引人的信号转导途径药物干预。本章旨在探索用于预测的算法范围GPCR的激活状态，同时也检查了这些预测的药物意义。新闻记者从Coi Mbra大学的研究中获得了一句话：“我们的首要任务”目的是展示人工智能(AI)是如何在GPCR研究中发挥关键作用，以揭示复杂的动力学激活和失活过程的研究，揭示了这一重要的调控机制Pr Otein家族。我们描述了几种利用不同结构数据的计算策略蛋白质数据库，分子动力学模拟，或基于L Igand的方法来预测激活GPCR的状态"。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According tonews reporting originating in Coimbra , Portugal, by NewsRx journalists, research stated, “G proteincoupledreceptors (GPCRs) are key molecules involved in cellular signaling and are attractive tar gets forpharmacological intervention. This chapter is designed to explore the r ange of algorithms used to predictGPCRs’ activation states, while also examinin g the pharmaceutical implications of these predictions.”The news reporters obtained a quote from the research from the University of Coi mbra, “Our primaryobjective is to show how artificial intelligence (AI) is key in GPCR research to reveal the intricate dynamicsof activation and inactivation processes, shedding light on the complex regulatory mechanisms of this vitalpr otein family. We describe several computational strategies that leverage diverse structural data fromthe Protein Data Bank, molecular dynamic simulations, or l igand-based methods to predict the activationstates of GPCRs.”
NETL
NSTL