Abstract

Bacterial sRNAs are a class of small regulatory RNAs of about 40–500 nt in length; they play multiple biological roles through binding to their target mRNAs or proteins. Therefore, elucidating sRNA targets is very important. However, only targets of a few sRNAs have been described. To facilitate sRNA functional studies such as developing sRNA target prediction models, we updated the sRNATarBase database, which was initially developed in 2010. The new version (recently moved to http://ccb1.bmi.ac.cn/srnatarbase/) contains 771 sRNA-target entries manually collected from 213 papers, and 23 290 and 11 750 predicted targets from sRNATarget and sTarPicker, respectively. Among the 771 entries, 475 and 17 were involved in validated sRNA–mRNA and sRNA–protein interactions, respectively, while 279 had no reported interactions. We also presented detailed information for 316 binding regions of sRNA-target mRNA interactions and related mutation experiments, as well as new features, including NCBI sequence viewer, sRNA regulatory network, target prediction-based GO and pathway annotations, and error report system. The new version provides a comprehensive annotation of validated sRNA-target interactions, and will be a useful resource for bacterial sRNA studies.

Highlights

  • Bacterial sRNAs are a class of small regulatory RNAs of about 40–500 nt in length [1]

  • The new version holds 771 entries collected from 213 articles manually

  • The benchmark data set from the database can be applied to develop new prediction models for sRNA targets or evaluate the performance of existing sRNA target prediction models

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Summary

Introduction

Bacterial sRNAs are a class of small regulatory RNAs of about 40–500 nt in length [1]. This database only provides 57 sRNA targets without information regarding binding regions. SRNAdb is an sRNAs database for gram-positive bacteria, which includes 671 validated and 9993 prediction-based sRNAs, with no sRNA-target interactions provided.

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