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

Cross-listing: Computational Biology Tree

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Parents

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

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

Collaborators

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Publications

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Kurnikov IV, Pereyaslavets L, Kamath G, et al. (2024) Neural Network Corrections to Intermolecular Interaction Terms of a Molecular Force Field Capture Nuclear Quantum Effects in Calculations of Liquid Thermodynamic Properties. Journal of Chemical Theory and Computation
Kamath G, Illarionov A, Sakipov S, et al. (2024) Combining Force Fields and Neural Networks for an Accurate Representation of Bonded Interactions. The Journal of Physical Chemistry. A
Illarionov A, Sakipov S, Pereyaslavets L, et al. (2023) Combining Force Fields and Neural Networks for an Accurate Representation of Chemically Diverse Molecular Interactions. Journal of the American Chemical Society. 145: 23620-23629
Nawrocki G, Leontyev I, Sakipov S, et al. (2022) Protein-Ligand Binding Free-Energy Calculations with ARROW─A Purely First-Principles Parameterized Polarizable Force Field. Journal of Chemical Theory and Computation
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)