Michael Levitt

Affiliations: 
Stanford University, Palo Alto, CA 
Area:
computational structural biology
Website:
http://med.stanford.edu/profiles/Michael_Levitt/
Google:
"Michael Levitt"
Bio:

http://www.nasonline.org/member-directory/members/3012570.html
http://csb.stanford.edu/levitt/
http://csb.stanford.edu/levitt/Levitt_Thesis_1971/Levitt_Thesis_1971.html
http://csb.stanford.edu/levitt/Levitt_NSB01_History_0501_392.pdf
http://med.stanford.edu/profiles/viewCV?facultyId=4494&name=Michael_Levitt
The Nobel Prize in Chemistry 2013 was awarded jointly to Martin Karplus, Michael Levitt and Arieh Warshel "for the development of multiscale models for complex chemical systems".

Mean distance: 7.6
 
SNBCP
Cross-listing: Computational Biology Tree

Parents

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Robert Diamond grad student 1968-1971 MRC-LMB
 (Conformational analysis of proteins)
Aaron Klug post-doc 1971-1972 MRC-LMB
Shneior Lifson post-doc 1972-1974 Weizmann Institute
Francis Harry Compton Crick post-doc 1977-1979 Salk Institute

Children

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João PGLM Rodrigues research assistant Utrecht
Gaurav Chopra grad student Stanford
Yu Xia grad student Stanford (Computational Biology Tree)
Christopher John Lee grad student 1989-1993 Stanford
Rachel Kolodny grad student 2004 Stanford
Nizar N. Batada grad student 2005 Stanford
Michael T. Sykes grad student 2006 Stanford
Dahlia R. Weiss grad student 2009 Stanford
Peter Minary post-doc Stanford
Ram Samudrala post-doc Stanford (Computational Biology Tree)
Frederic Poitevin post-doc 2015-
Cyrus H. Chothia post-doc 1974 Weizmann Institute
Valerie D. Daggett post-doc 1990-1992 Stanford
Peter R. David post-doc 1991-1993 Stanford
Mark B. Gerstein post-doc 1993-1996 Stanford
Steven E. Brenner post-doc 1997-1999 Stanford (BME Tree)
Xuhui Huang post-doc 2006-2008 Stanford
BETA: Related publications

Publications

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Pereyaslavets L, Kamath G, Butin O, et al. (2022) Accurate determination of solvation free energies of neutral organic compounds from first principles. Nature Communications. 13: 414
Rodrigues JP, Barrera-Vilarmau S, Teixeira JM, et al. (2020) Insights on cross-species transmission of SARS-CoV-2 from structural modeling. Biorxiv : the Preprint Server For Biology
Ufimtsev IS, Almagor L, Weis WI, et al. (2019) Solving the structure of Lgl2, a difficult blind test of unsupervised structure determination. Proceedings of the National Academy of Sciences of the United States of America
Ufimtsev IS, Levitt M. (2019) Unsupervised determination of protein crystal structures. Proceedings of the National Academy of Sciences of the United States of America
Rodrigues J, Levitt M. (2019) interfacea: open-source library for protein interface analysis F1000research. 8
Ben-Aharon Z, Levitt M, Kalisman N. (2018) Automatic Inference of Sequence from Low-Resolution Crystallographic Data. Structure (London, England : 1993)
Pereyaslavets L, Kurnikov I, Kamath G, et al. (2018) On the importance of accounting for nuclear quantum effects in ab initio calibrated force fields in biological simulations. Proceedings of the National Academy of Sciences of the United States of America
Pataki CI, Rodrigues J, Zhang L, et al. (2018) Proteomic analysis of monolayer-integrated proteins on lipid droplets identifies amphipathic interfacial α-helical membrane anchors. Proceedings of the National Academy of Sciences of the United States of America
Keasar C, McGuffin LJ, Wallner B, et al. (2018) An analysis and evaluation of the WeFold collaborative for protein structure prediction and its pipelines in CASP11 and CASP12. Scientific Reports. 8: 9939
Scaiewicz A, Levitt M. (2018) Unique function words characterize genomic proteins. Proceedings of the National Academy of Sciences of the United States of America
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