article · Nature Structural & Molecular Biology · 2017
Hydroxylation of a conserved tRNA modification establishes non-universal genetic code in echinoderm mitochondria
Asuteka Nagao, Mitsuhiro Ohara, Kenjyo Miyauchi, Shin‐ichi Yokobori, Akihiko Yamagishi, Kimitsuna Watanabe, Tsutomu Suzuki
Cited by 25Abstract and details only
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Cite this paper
Nagao, A., Ohara, M., Miyauchi, K., Yokobori, S., Yamagishi, A., Watanabe, K., & Suzuki, T. (2017). Hydroxylation of a conserved tRNA modification establishes non-universal genetic code in echinoderm mitochondria. Nature Structural & Molecular Biology, 24(9), 778–782. https://doi.org/10.1038/nsmb.3449
Nagao, Asuteka, et al. “Hydroxylation of a conserved tRNA modification establishes non-universal genetic code in echinoderm mitochondria.” Nature Structural & Molecular Biology, vol. 24, no. 9, 2017, pp. 778–82, https://doi.org/10.1038/nsmb.3449.
Nagao, Asuteka, Mitsuhiro Ohara, Kenjyo Miyauchi, Shin‐ichi Yokobori, Akihiko Yamagishi, Kimitsuna Watanabe, and Tsutomu Suzuki. 2017. “Hydroxylation of a conserved tRNA modification establishes non-universal genetic code in echinoderm mitochondria.” Nature Structural & Molecular Biology 24 (9): 778–82. https://doi.org/10.1038/nsmb.3449.
Nagao, A. et al. (2017) ‘Hydroxylation of a conserved tRNA modification establishes non-universal genetic code in echinoderm mitochondria’, Nature Structural & Molecular Biology, 24(9), pp. 778–782. Available at: https://doi.org/10.1038/nsmb.3449.
@article{nagao2017hydroxylation,
title = {{Hydroxylation of a conserved tRNA modification establishes non-universal genetic code in echinoderm mitochondria}},
author = {Nagao, Asuteka and Ohara, Mitsuhiro and Miyauchi, Kenjyo and Yokobori, Shin‐ichi and Yamagishi, Akihiko and Watanabe, Kimitsuna and Suzuki, Tsutomu},
journal = {Nature Structural & Molecular Biology},
volume = {24},
number = {9},
pages = {778--782},
year = {2017},
doi = {10.1038/nsmb.3449}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.
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