Recent Advances in Computational Methods for Nuclear Magnetic Resonance Data Processing

Abstract
Although three-dimensional protein structure determination using nuclear magnetic resonance (NMR) spectroscopy is a computationally costly and tedious process that would benefit from advanced computational techniques, it has not garnered much research attention from specialists in bioinformatics and computational biology. In this paper, we review recent advances in computational methods for NMR protein structure determination. We summarize the advantages of and bottlenecks in the existing methods and outline some open problems in the field. We also discuss current trends in NMR technology development and suggest directions for research on future computational methods for NMR.

Citation
Recent Advances in Computational Methods for Nuclear Magnetic Resonance Data Processing 2013, 11 (1):29 Genomics, Proteomics & Bioinformatics

Publisher
Elsevier BV

Journal
Genomics, Proteomics & Bioinformatics

DOI
10.1016/j.gpb.2012.12.003

PubMed ID
23453016

PubMed Central ID
PMC4357661

Additional Links
http://linkinghub.elsevier.com/retrieve/pii/S1672022913000028

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