Computational identification of microRNAs and their targets.

@article{zhang06, abstract = {MicroRNAs (miRNAs) are one class of newly identified riboregulators of gene expression in many eukaryotic organisms. They play important roles in multiple biological and metabolic processes, including developmental timing, signal transduction, cell maintenance and differentiation, diseases and cancers. miRNAs regulate gene expression at the posttranscriptional level by directly cleaving targeted mRNAs or repressing translation. Although the founding members of miRNAs were discovered by genetic screening approaches, experimental approaches were limited by their low efficiency, time consuming, and high cost. As an alternative, computational approaches were developed. Computational approaches for identifying miRNAs are based on the following major characteristics of miRNAs: hairpin-shaped secondary structures, high conservation for some miRNAs, and high minimal folding free energy index (MFEI). Computational approaches also play an important role in identifying miRNA targets. A majority of known miRNAs and their targets were identified by computational approaches. Several web-based or non-web-based computer software programs are publicly available for predicting miRNAs and their targets.}, address = {The Institute of Environmental and Human Health, Department of Environmental Toxicology, Texas Tech University, Lubbock, TX 79409-1163, USA; Henan Institute of Science and Technology, Xinxiang, Henan 453003, PR China.}, author = {Zhang, Baohong and Pan, Xiaoping and Wang, Qinglian and Cobb, George P. P. and Anderson, Todd A. A. }, citeulike-article-id = {963598}, doi = {http://dx.doi.org/10.1016/j.compbiolchem.2006.08.006}, issn = {1476-9271}, journal = {Computational Biology and Chemistry}, keywords = {microrna, microrna\_target\_prediction, provisional}, month = {September}, number = {6}, pages = {395--407}, posted-at = {2007-10-24 11:14:31}, priority = {3}, publisher = {Elsevier}, title = {Computational identification of microRNAs and their targets.}, url = {http://dx.doi.org/10.1016/j.compbiolchem.2006.08.006}, volume = {30}, year = {2006} }

TY - JOUR ID - zhang06 L3 - citeulike-article-id:963598 TI - Computational identification of microRNAs and their targets. JF - Computational Biology and Chemistry VL - 30 IS - 6 SP - 395 EP - 407 AD - The Institute of Environmental and Human Health, Department of Environmental Toxicology, Texas Tech University, Lubbock, TX 79409-1163, USA; Henan Institute of Science and Technology, Xinxiang, Henan 453003, PR China. PB - Elsevier SN - 1476-9271 N2 - MicroRNAs (miRNAs) are one class of newly identified riboregulators of gene expression in many eukaryotic organisms. They play important roles in multiple biological and metabolic processes, including developmental timing, signal transduction, cell maintenance and differentiation, diseases and cancers. miRNAs regulate gene expression at the posttranscriptional level by directly cleaving targeted mRNAs or repressing translation. Although the founding members of miRNAs were discovered by genetic screening approaches, experimental approaches were limited by their low efficiency, time consuming, and high cost. As an alternative, computational approaches were developed. Computational approaches for identifying miRNAs are based on the following major characteristics of miRNAs: hairpin-shaped secondary structures, high conservation for some miRNAs, and high minimal folding free energy index (MFEI). Computational approaches also play an important role in identifying miRNA targets. A majority of known miRNAs and their targets were identified by computational approaches. Several web-based or non-web-based computer software programs are publicly available for predicting miRNAs and their targets. KW - microrna KW - microrna_target_prediction KW - provisional AU - Zhang, Baohong AU - Pan, Xiaoping AU - Wang, Qinglian AU - Cobb, George AU - Anderson, Todd PY - 2006/09/14/ UR - http://dx.doi.org/10.1016/j.compbiolchem.2006.08.006 ER -