Development of a sugar-binding residue prediction system from protein sequences using support vector machine.
- DOI
- 10.1016/j.compbiolchem.2016.10.009
- Published
- 2017 Feb
- Container
- Computational biology and chemistry
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.compbiolchem.2016.10.009,
title = {Development of a sugar-binding residue prediction system from protein sequences using support vector machine.},
author = {Banno M and Komiyama Y and Cao W and Oku Y and Ueki K and Sumikoshi K and Nakamura S and Terada T and Shimizu K},
year = {2017},
journal = {Computational biology and chemistry},
doi = {10.1016/j.compbiolchem.2016.10.009},
url = {https://doi.org/10.1016/j.compbiolchem.2016.10.009}
}RIS
TY - JOUR TI - Development of a sugar-binding residue prediction system from protein sequences using support vector machine. AU - Banno M AU - Komiyama Y AU - Cao W AU - Oku Y AU - Ueki K AU - Sumikoshi K AU - Nakamura S AU - Terada T AU - Shimizu K PY - 2017 JO - Computational biology and chemistry DO - 10.1016/j.compbiolchem.2016.10.009 UR - https://doi.org/10.1016/j.compbiolchem.2016.10.009 ER -
APA
M, B., Y, K., W, C., Y, O., K, U., K, S., S, N., T, T., & K, S. (2017). Development of a sugar-binding residue prediction system from protein sequences using support vector machine.. Computational biology and chemistry. https://doi.org/10.1016/j.compbiolchem.2016.10.009
Source records
- pubmed · retrieved 2026-09-25T02:16:45.658Z