VeloPro: A pipeline integrating Ribo‐seq and AlphaFold deciphers association patterns between translation velocity and protein structure features
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- Bian Bian
- Department of Computational Biology and Medical Sciences Graduate School of Frontier Sciences, The University of Tokyo Kashiwa Japan
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- Toshitaka Kumagai
- Fermlab Inc. Koto‐ku Japan
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- Yutaka Saito
- Department of Computational Biology and Medical Sciences Graduate School of Frontier Sciences, The University of Tokyo Kashiwa Japan
書誌事項
- 公開日
- 2023-11
- 資源種別
- journal article
- 権利情報
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- http://creativecommons.org/licenses/by/4.0/
- DOI
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- 10.1002/imt2.148
- 公開者
- Wiley
この論文をさがす
説明
VeloPro integrates Ribo‐seq data and AlphaFold2‐predicted 3D protein structure information for characterization of the association patterns between translation velocity and many protein structure features in prokaryotic and eukaryotic organisms across different taxonomical clades such as bacteria, fungi, protozoa, nematode, plants, insect, and mammals. We illustrated that association patterns between translation velocity and protein structure features differ across organisms, partially reflecting their taxonomical relationship. [Image: see text]
収録刊行物
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- iMeta
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iMeta 2 (4), 2023-11
Wiley
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詳細情報 詳細情報について
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- CRID
- 1360021391878648960
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- DOI
- 10.1002/imt2.148
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- ISSN
- 2770596X
- 27705986
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- 資料種別
- journal article
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- データソース種別
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- Crossref
- KAKEN
- OpenAIRE
