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Robin M. Betz

Researcher at Stanford University

Publications -  20
Citations -  2343

Robin M. Betz is an academic researcher from Stanford University. The author has contributed to research in topics: Ligand (biochemistry) & Receptor. The author has an hindex of 12, co-authored 20 publications receiving 1751 citations. Previous affiliations of Robin M. Betz include University of California, San Diego & San Diego Supercomputer Center.

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Lipid14: The Amber Lipid Force Field

TL;DR: The AMBER lipid force field has been updated to create Lipid14, allowing tensionless simulation of a number of lipid types with the AMBER MD package, and is compatible with theAMBER protein, nucleic acid, carbohydrate, and small molecule force fields.
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Crystal Structure of an LSD-Bound Human Serotonin Receptor

TL;DR: The crystal structure of LSD in complex with the human serotonin receptor 5-HT2B reveals conformational rearrangements to accommodate LSD, providing a structural explanation for the conformational selectivity of LSD's key diethylamide moiety.
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GAFFlipid: a General Amber Force Field for the accurate molecular dynamics simulation of phospholipid

TL;DR: In this paper, the GAFF Lennard-Jones parameters for the simulation of acyl chains are corrected to allow the accurate and stable simulation of pure lipid bilayers, which is intended for combination with the new AMBER Lipid11 modular force field as part of ongoing attempts to create a modular phospholipid AMBER force field allowing tensionless NPT simulations of complex lipid bilayer.
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D4 dopamine receptor high-resolution structures enable the discovery of selective agonists.

TL;DR: In this paper, the crystal structures of the D4 dopamine receptor in its inactive state bound to the antipsychotic drug nemonapride were determined, with resolutions up to 1.95 angstroms.
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Structure-inspired design of β-arrestin-biased ligands for aminergic GPCRs.

TL;DR: This work identified specific amino acid-ligand contacts at transmembrane helix 5 and extracellular loop 2 responsible for Gi/o and β-arrestin signaling and targeted those residues to develop biased ligands, providing a template for generating arrestin-biased ligands by modifying predicted ligand interactions.