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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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Optimized Torsion-Angle Normal Modes Reproduce Conformational Changes More Accurately Than Cartesian Modes

TL;DR: It is shown that orthogonalizing the displacement vectors from torsion-angle normal-mode analysis and projecting them as straight lines in Cartesian space does not lead to better performance than Cartesian normal modes.
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Multiscale natural moves refine macromolecules using single-particle electron microscopy projection images.

TL;DR: The method presented here refines molecular conformations directly against projections of single particles measured by electron microscopy by optimizing the orientation of the projection at the same time as the conformation, which is well-suited to two-dimensional class averages from cryoelectron microscopy.
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Inhibition Mechanism of the Acetylcholine Receptor by α-Neurotoxins as Revealed by Normal-Mode Dynamics†

TL;DR: Light is shed on the gating mechanism of the nicotinic acetylcholine receptor and a complementary inhibition mechanism by snake-venom-derived alpha-neurotoxins is presented.
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Quantitation of countercurrent exchange during passive absorption from the dog small intestine: evidence for marked species differences in the efficiency of exchange.

TL;DR: The striking effect of countercurrent exchange on passive absorption in the dog differs from the previous studies in the rabbit where no exchange was demonstrated, and may result from anatomical differences in villus architecture.
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Protein folding: Current Opinion in Structural Biology 1991, 1:224–229

TL;DR: This review considers recent theoretical advances by asking four specific questions: which sequences can fold; do solvent interactions drive folding; can energy surfaces be explored efficiently; and, do present theoretical schemes fold proteins correctly?