E
Elaine C. Meng
Researcher at University of California, San Francisco
Publications - 43
Citations - 47524
Elaine C. Meng is an academic researcher from University of California, San Francisco. The author has contributed to research in topics: G protein-coupled receptor & Rhodopsin. The author has an hindex of 31, co-authored 42 publications receiving 35825 citations. Previous affiliations of Elaine C. Meng include Genentech & Washington University in St. Louis.
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Journal ArticleDOI
UCSF Chimera--a visualization system for exploratory research and analysis.
Eric F. Pettersen,Thomas D. Goddard,Conrad C. Huang,Gregory S. Couch,Daniel M. Greenblatt,Elaine C. Meng,Thomas E. Ferrin +6 more
TL;DR: Two unusual extensions are presented: Multiscale, which adds the ability to visualize large‐scale molecular assemblies such as viral coats, and Collaboratory, which allows researchers to share a Chimera session interactively despite being at separate locales.
Journal ArticleDOI
UCSF ChimeraX: Structure visualization for researchers, educators, and developers.
Eric F. Pettersen,Thomas D. Goddard,Conrad C. Huang,Elaine C. Meng,Gregory S. Couch,Tristan I. Croll,John H. Morris,Thomas E. Ferrin +7 more
TL;DR: ChimeraX brings significant performance and graphics enhancements, new implementations of Chimera's most highly used tools, several entirely new analysis features, and support for new areas such as virtual reality, light‐sheet microscopy, and medical imaging data.
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UCSF ChimeraX: Meeting modern challenges in visualization and analysis.
Thomas D. Goddard,Conrad C. Huang,Elaine C. Meng,Eric F. Pettersen,Gregory S. Couch,John H. Morris,Thomas E. Ferrin +6 more
TL;DR: This article highlights some specific advances in the areas of visualization and usability, performance, and extensibility in ChimeraX.
Journal ArticleDOI
Automated docking with grid-based energy evaluation
TL;DR: In this paper, the authors present a method that combines a rapid geometric docking algorithm with the evaluation of molecular mechanics interaction energies to generate feasible binding orientations of a small molecule within a site of known structure.
Journal ArticleDOI
DOCK 6: Combining techniques to model RNA–small molecule complexes
P. Therese Lang,Scott R. Brozell,Sudipto Mukherjee,Eric F. Pettersen,Elaine C. Meng,Veena Thomas,Robert C. Rizzo,David A. Case,Thomas L. James,Irwin D. Kuntz +9 more
TL;DR: A test set of RNA-ligand complexes is compiled to validate the ability of the DOCK suite of programs to successfully recreate experimentally determined binding poses and indicates that DOCK can indeed be useful for structure-based drug design aimed at RNA.