title: Predicting sRNAs and their targets in bacteria.
abstract: Bacterial small RNAs (sRNAs) are an emerging class of regulatory RNAs of about 40-500 nucleotides in length and, by binding to their target mRNAs or proteins, get involved in many biological processes such as sensing environmental changes and regulating gene expression. Thus, identification of bacterial sRNAs and their targets has become an important part of sRNA biology. Current strategies for discovery of sRNAs and their targets usually involve bioinformatics prediction followed by experimental validation, emphasizing a key role for bioinformatics prediction. Here, therefore, we provided an overview on prediction methods, focusing on the merits and limitations of each class of models. Finally, we will present our thinking on developing related bioinformatics models in future.
authors.affiliation: Beijing Institute of Basic Medical Sciences, Beijing 100850, China. liwj@nic.bmi.ac.cn
authors.forename: Wuju
authors.initials: W
authors.lastname: Li
authors.forename: Xiaomin
authors.initials: X
authors.lastname: Ying
authors.forename: Qixuan
authors.initials: Q
authors.lastname: Lu
authors.forename: Linxi
authors.initials: L
authors.lastname: Chen
mesh_terms: D001185:Artificial Intelligence; D001419:Bacteria / Q000235:genetics* / Q000378:metabolism; D001426:Bacterial Proteins / Q000378:metabolism; D001483:Base Sequence; D019295:Computational Biology; D003198:Computer Simulation; D005798:Genes, Bacterial; D008957:Models, Genetic; D009690:Nucleic Acid Conformation; D012329:RNA, Bacterial / Q000235:genetics / Q000378:metabolism*; D012333:RNA, Messenger / Q000737:chemistry / Q000235:genetics / Q000378:metabolism
chemical_list: D001426:Bacterial Proteins; D012329:RNA, Bacterial; D012333:RNA, Messenger