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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.

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Journal Article

Use of breath hydrogen (H2) to quantitate small bowel transit time following partial gastrectomy

TL;DR: These studies suggest that the diarrhea observed in some postgastrectomy patients is, in part, the result of malabsorption of carbohydrate due to excessively rapid small bowel transit which is secondary to rapid gastric emptying.
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Diffusion of nucleoside triphosphates and role of the entry site to the RNA polymerase II active center

TL;DR: The funnel and pore limitation on the rate of RNA synthesis under conditions of low NTP concentration may be overcome by NTP binding to an entry site adjacent to the active center.
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RNA polymerase II trigger loop residues stabilize and position the incoming nucleotide triphosphate in transcription

TL;DR: Simulation of the wild-type pol II elongation complex and its mutants in explicit solvent found that the trigger loop is stabilized in the “closed” conformation, and His1085 forms a stable interaction with the NTP, and a three-component mechanism for correctly positioning the incoming NTP is suggested.
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Using a hydrophobic contact potential to evaluate native and near-native folds generated by molecular dynamics simulations

TL;DR: A simple yet powerful method for native fold recognition based on the tendency for native folds to form hydrophobic cores is developed, which yields energy values which are lowest for the population of structures generated at room temperature, intermediate for those produced at high temperature and highest for those constructed by threading methods.
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Improved protein structure selection using decoy-dependent discriminatory functions

TL;DR: The success of the density score and the self-RAPDF functions indicates that information from the ensemble of decoy conformations can be used to derive statistical probabilities and facilitate the identification of near-native structures.