Bian Bian, Kumagai Toshitaka, Saito Yutaka
Department of Computational Biology and Medical Sciences Graduate School of Frontier Sciences, The University of Tokyo Kashiwa Japan.
Artificial Intelligence Research Center National Institute of Advanced Industrial Science and Technology (AIST) Koto-ku Japan.
Imeta. 2023 Nov 19;2(4):e148. doi: 10.1002/imt2.148. eCollection 2023 Nov.
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.
VeloPro整合了核糖体测序(Ribo-seq)数据和AlphaFold2预测的3D蛋白质结构信息,用于表征原核生物和真核生物中翻译速度与许多蛋白质结构特征之间的关联模式,这些生物跨越不同的分类类群,如细菌、真菌、原生动物、线虫、植物、昆虫和哺乳动物。我们阐明了翻译速度与蛋白质结构特征之间的关联模式在不同生物中存在差异,部分反映了它们的分类关系。