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
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Redundancy-weighting for better inference of protein structural features.
TL;DR: It is suggested that the better distributions, inferred using redundancy-weighting, may improve the accuracy of knowledge-based potentials and increase the power of protein structure prediction methods, which may enhance model-driven molecular biology.
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Spatial regulation and the rate of signal transduction activation.
TL;DR: An explicit equation for the rate at which cell surface membrane proteins interact based on a Brownian motion model is derived, finding that in the absence of any diffusion constraints, cell surfaceprotein interaction rate is extremely high relative to cytoplasmic protein interaction rate even in a large mammalian cell with a receptor abundance of a mere two hundred molecules.
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An unusual form of macroamylasemia.
Terriei Berggren,Michael Levitt +1 more
TL;DR: The development of mild pancreatitis after pancreatic duct cannulation provided a unique opportunity to observe the serum and urine amylase values that occur when pancreatitis is superimposed on an underlying macroamylasemia.
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Theory and simulation. Can theory challenge experiment
Patrice Koehl,Michael Levitt +1 more
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Evaluating mixture models for building rna knowledge-based potentials
TL;DR: The smooth knowledge-based potential built from Dirichlet process is successful in selecting native-like RNA models from different sets of structural decoys with comparable efficacy to a potential developed by spline-fitting - a commonly taken approach - to binned distance histograms, suggesting its applicability in diverse types of structural modeling.