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Michael Levitt

2026-01-31 16:33:50
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Michael Levitt

简介

Michael Levitt is an American British Israeli biophysicist. In addition, he has been serving as a professor of structural biology at Stanford University in the United States since 1987. Currently a member of the National Academy of Sciences in the United States from 2013 to present. In 1983, Levitt was elected as a member of the European Molecular Biology Organization EMBO. In 2001, he was elected as a member of the Royal Society of England. Afterwards, they jointly won the 2013 Nobel Prize in Chemistry with Martin Karplus and Arieh Warshel for developing multi-scale models of complex chemical systems. In 2014, he was awarded the Delano Prize in Computational Biology. In 2015, he became a member of the International Society for Computational Biology (ISCB). Levitt was one of the earliest researchers to conduct DNA and protein molecular dynamics simulations, and developed the first software for this purpose. Currently, Levitt is renowned for developing macromolecular structure prediction methods and has participated in many key evaluation CASP competitions on protein structure prediction techniques. During this period, he criticized the ineffectiveness of molecular dynamics in improving protein structure. Levitt is also committed to simplifying protein structure representations for analyzing protein folding and stacking, as well as developing scoring systems for large-scale sequence structure comparisons.

详细信息
迈克尔·莱维特(Michael Levitt)是一位美籍英国以色列生物物理学家。此外,他自1987年起一直担任美国斯坦福大学结构生物学教授。现为美国国家科学院院士。
Brief (English)

Technology & Finance

元数据

ID: 215

添加时间: 迈克尔·莱维特(Michael Levitt)是一位美籍英国以色列生物物理学家。此外,他自1987年起一直担任美国斯坦福大学结构生物学教授。目前从2013年至今担任美国国家科学院院士。 1983年,莱维特当选为欧洲分子生物学组织EMBO成员。 2001年,他当选为英国皇家学会会员。随后,他们因开发复杂化学系统的多尺度模型与Martin Karplus和Arieh Warshel共同获得2013年诺贝尔化学奖。 2014年,他被授予计算生物学德拉诺奖。 2015年成为国际计算生物学学会(ISCB)会员。 Levitt 是最早进行 DNA 和蛋白质分子动力学模拟的研究人员之一,并为此开发了第一个软件。目前,Levitt以开发大分子结构预测方法而闻名,并参加了许多关于蛋白质结构预测技术的关键评估CASP竞赛。在此期间,他批评了分子动力学在改善蛋白质结构方面的无效性。 Levitt 还致力于简化蛋白质结构表示以分析蛋白质折叠和堆积,以及开发用于大规模序列结构比较的评分系统。

更新时间: 2026-02-24 07:32:43

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