Skip navigation
Skip navigation

3D Computational Modeling of Proteins Using Sparse Paramagnetic NMR Data

Pilla, Kala; Otting, Gottfried; Huber, Thomas

Description

Computational modeling of proteins using evolutionary or de novo approaches offers rapid structural characterization, but often suffers from low success rates in generating high quality models comparable to the accuracy of structures observed in X-ray crystallography or nuclear magnetic resonance (NMR) spectroscopy. A computational/experimental hybrid approach incorporating sparse experimental restraints in computational modeling algorithms drastically improves reliability and accuracy of 3D...[Show more]

CollectionsANU Research Publications
Date published: 2017
Type: Book chapter
URI: http://hdl.handle.net/1885/231009
Book Title: Methods in Molecular Biology - Bioinformatics: Structure, Function and Applications
DOI: 10.1007/978-1-4939-6613-4_1

Download

File Description SizeFormat Image
01_Pilla_3D_Computational_Modeling_of_2017.pdf6.81 MBAdobe PDF    Request a copy


Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  19 May 2020/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator