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Protein structure prediction from inaccurate and sparse NMR data using an enhanced genetic algorithm
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Islam, ML, Shatabda, S, Rashid, Mahmood ORCID: 0000-0003-3347-2381, Khan, MGM and Rahman, MS
(2019)
Protein structure prediction from inaccurate and sparse NMR data using an enhanced genetic algorithm.
Computational Biology and Chemistry, 79.
pp. 6-15.
ISSN 1476-9271
Official URL: https://www.sciencedirect.com/science/article/pii/...
Item Type: | Article |
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Uncontrolled Keywords: | NMR spectroscopy; genetic algorithm; Euclidean distance; molecular distance geometry problem; MDGP; protein structure prediction; greedy mutation operator; search space |
Subjects: | FOR Classification > 0699 Other Biological Sciences FOR Classification > 0802 Computation Theory and Mathematics Faculty/School/Research Centre/Department > Institute for Sustainable Industries and Liveable Cities |
SWORD Depositor: | Symplectic Elements |
Depositing User: | Symplectic Elements |
Date Deposited: | 02 Jun 2019 23:25 |
Last Modified: | 05 Jun 2019 00:42 |
URI: | http://vuir.vu.edu.au/id/eprint/38569 |
DOI: | https://doi.org/10.1016/j.compbiolchem.2019.01.004 |
ePrint Statistics: | View download statistics for this item |
Citations in Scopus: | 0 - View on Scopus |
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