M
Michael Levitt
Researcher at Stanford University
Publications - 422
Citations - 43139
Michael Levitt is an academic researcher from Stanford University. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 99, co-authored 349 publications receiving 41423 citations. Previous affiliations of Michael Levitt include Laboratory of Molecular Biology & Bar-Ilan University.
Papers
More filters
Journal ArticleDOI
Calibration and Testing of a Water Model for Simulation of the Molecular Dynamics of Proteins and Nucleic Acids in Solution
TL;DR: In this paper, a flexible three-centered water model (F3C) is proposed for simulation of biological macromolecules in solution, and the model is further tested by comparing calculated energetic, structural, and dynamic properties of liquid water, at several temperatures and pressures, with experiment.
Journal ArticleDOI
The ASTRAL compendium for protein structure and sequence analysis
TL;DR: The ASTRAL compendium provides several databases and tools to aid in the analysis of protein structures, particularly through the use of their sequences, and summarizes the overall characteristics of a protein structure.
Journal ArticleDOI
Automatic identification of secondary structure in globular proteins
Michael Levitt,Jonathan Greer +1 more
TL;DR: This work provides the first objective and consistent compilation of α-helix, β-sheet and reverse-turn secondary structure in almost all globular proteins of known tertiary structure.
Journal ArticleDOI
A Comparison of Symptoms after the Consumption of Milk or Lactose-Hydrolyzed Milk by People with Self-Reported Severe Lactose Intolerance
TL;DR: When lactose intake is limited to the equivalent of 240 ml of milk or less a day, symptoms are likely to be negligible and the use of lactose-digestive aids unnecessary.
Journal ArticleDOI
Potential energy function and parameters for simulations of the molecular dynamics of proteins and nucleic acids in solution
TL;DR: In this article, the complete set of energy parameters used in the ENCAD (Energy Calculation and Dynamics) simulation program is presented, including the form of the potential, which has been designed for efficient simulation of trajectories of macromolecules in solution.