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Nikolaus Grigorieff

Researcher at University of Massachusetts Medical School

Publications -  162
Citations -  22525

Nikolaus Grigorieff is an academic researcher from University of Massachusetts Medical School. The author has contributed to research in topics: Cryo-electron microscopy & Fibril. The author has an hindex of 67, co-authored 156 publications receiving 19118 citations. Previous affiliations of Nikolaus Grigorieff include Janelia Farm Research Campus & Lawrence Berkeley National Laboratory.

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CTFFIND4: Fast and accurate defocus estimation from electron micrographs.

TL;DR: Modifications to the CTFFIND algorithm are described which make it significantly faster and more suitable for use with images collected using modern technologies such as dose fractionation and phase plates.
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Accurate determination of local defocus and specimen tilt in electron microscopy

TL;DR: Two computer programs are presented, CTFFIND3 and CTFTILT, which determine defocus parameters from images of untilted specimens, as well as defocus and tilt parameters from image of tilted specimens, respectively, using a simple algorithm.
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A Common Mechanism Underlying Promiscuous Inhibitors from Virtual and High-Throughput Screening

TL;DR: High-throughput and virtual screening is widely used to discover novel leads for drug design, and aggregate formation appears to explain the activity of many nonspecific inhibitors and may account for theActivity of many promiscuous screening hits.
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Electron-crystallographic refinement of the structure of bacteriorhodopsin.

TL;DR: Using electron diffraction data corrected for diffuse scattering together with additional phase information from 30 new images of tilted specimens, an improved experimental density map has been calculated for bacteriorhodopsin and the overall accuracy of the co-ordinates of residues in the other six helices has been improved.
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cisTEM, user-friendly software for single-particle image processing

TL;DR: New open-source software called cisTEM (computational imaging system for transmission electron microscopy) for the processing of data for high-resolution electron cryo-microscopy and single-particle averaging is developed, optimized to enable processing of typical datasets on a high-end, CPU-based workstation in half a day or less, comparable to GPU-accelerated processing.