A deep learning framework to predict binding preference of RNA constituents on protein surface

A deep learning framework to predict binding preference of RNA constituents on protein surface

Interactions between proteins and RNA are an important mechanism for post-transcriptional regulation, but predicting these interactions is difficult. Through a deep learning approach, here the authors predict RNA-binding sites and binding preference based on the local physicochemical properties of t...

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Bibliographic Details
Main Authors: Jordy Homing Lam, Yu Li, Lizhe Zhu, Ramzan Umarov, Hanlun Jiang, Amélie Héliou, Fu Kit Sheong, Tianyun Liu, Yongkang Long, Yunfei Li, Liang Fang, Russ B. Altman, Wei Chen, Xuhui Huang, Xin Gao
Format: Article
Language:English
Published: Nature Portfolio 2019-10-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-019-12920-0

Internet

https://doi.org/10.1038/s41467-019-12920-0

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