RNA 3D structure prediction using co-evolutionary information

来源 :第七届全国生物信息学与系统生物学学术大会 | 被引量 : 0次 | 上传用户:yunzh
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  RNA molecules are involved in various biological processes,such as catalytic and regulatory ones.To perform these functions,they need to form special tertiary structures.At present,the number of RNA tertiary structures solved experimentally is very limited and so computational methods have been proposed to predict RNA tertiary structures.Here we give a brief review of the definition,problems,difficulties and current status of RNA tertiary structure prediction.We shall introduce our method of RNA tertiary structure prediction called 3dRNA (1-2),which is based on RNA sequence and secondary structure and has a performance with a mean RMSD 3.24 (A) and INF 0.91 for a test set of 32 RNAs with lengths from 12 to 101 nt and with a speed of only a few seconds for predicting a model of a RNA.I shall also show how sequence big data can enhance the performance of RNA structure prediction.
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