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Michael Levitt 荣誉院长

研究方向

复杂体系多尺度研究

生物物理、结构生物学

简要介绍:2013年诺贝尔化学奖获得者,美国科学院院士和英国皇家科学院院士,美国斯坦福大学结构生物学系终身教授。Levitt 教授首创了蛋白质和DNA的分子动力学模拟方法,并一直致力于蛋白质结构预测技术的关键评估,研究蛋白质结构的折叠和包装,开发用于大规模序列结构比较的评分系统。于2018年正式加盟复旦大学,创立新葡萄娱乐场网站,担任荣誉院长。

代表成果

1. João PGLM Rodrigues, Susana Barrera-Vilarmau, João MC Teixeira, Elizabeth Seckel4, Panagiotis Kastritis, Michael Levitt, Insights on cross-species transmission of SARS-CoV-2 from structural modeling. bioRxiv 2020, DOI 10.1101/2020.06.05.136861

2. Ivan S. Ufimtsev, Michael Levitt,Unsupervised determination of protein crystal structures,Proc Natl Acad Sci U S A, 2019; 116(22): 10813–10818.doi:10.1073/pnas.1821512116

3. Ivan S Ufimtsev,Lior Almagor,William I Weis,Michael Levitt, Solving the structure of Lgl2, a difficult blind test of unsupervised structure determination,Proc Natl Acad Sci U S A, 2019;116(22):10819-10823.doi: 10.1073/pnas.1821513116

4. Ziv Ben-Aharon1,Michael Levitt2,Nir Kalisman, Automatic Inference of Sequence from Low-Resolution Crystallographic Data,Structure, 2018;26(11):1546-1554.e2.doi: 10.1016/j.str.2018.08.011.

5. Leonid, Pereyaslavets, Igor Kurnikov, Ganesh Kamath, Oleg Butin, Alexey Illarionov, Igor Leontyev, Michael Olevanov, Michael Levitt, Roger D Kornberg, Boris FainOn the importance of accounting for nuclear quantum effects in ab initio calibrated force fields in biological simulations,Proc Natl Acad Sci U S A, 2018;115(36):8878-8882.doi: 10.1073/pnas.1806064115.

6. Levitt, M. and J.M. Levitt. Future of fundamental discovery in US biomedical research.Proceedings of the National Academy of Sciences, p.201609996 (2017).

7. Gruber, R., Levitt, M. and A. Horovitz. Sequential allosteric mechanism of ATP hydrolysis by the CCT/TRiC chaperone is revealed through Arrhenius analysis.Proceedings of the National Academy of Sciences, 114(20), 5189-5194 (2017). NIH GM1157490

8. Kang, H., Vázquez, F.X., Zhang, L., Das, P., Toledo-Sherman, L.M., Luan, B., Levitt, M. and R. Zhou. Emerging β-sheet rich conformations in super-compact Huntingtin exon-1 mutant structures.Journal of the American Chemical Society(2017). NIH GM115749

9. Levitt, M. Birth and Future of Multiscale Modeling for Macromolecular Systems (Nobel Lecture). Angew. Chem. Int. Ed. doi:10.1002/anie.201403691 (2014). PMID: 25100216.

10. Scaiewicz, A. and M. Levitt. The language of the protein universe. Current Opinion in Genetics & Development 35, 50-56 (2015). PMID 26451980.