Prediction of eukaryotic mRNA translational properties
Prediction of eukaryotic mRNA translational properties
复制标题
DOI：
10.1093/bioinformatics/15.7.704
复制
发表时间：
1999-07-01
期刊：
影响因子：
5.8
通讯作者：
Kolchanov, NA
中科院分区：
文献类型：
--
作者：
Kochetov, AV;Ponomarenko, MP;Kolchanov, NA
动机：众所周知，真核生物的mRNA根据其序列特征在不同水平上翻译。mRNA可翻译性的评价对于用计算机方法预测基因表达模式和提高对克隆核苷酸序列中mRNA的识别具有重要意义。结果：获得了哺乳动物、双子叶植物和单子叶植物的5'非翻译区序列，并将其纳入LEADER_RNA数据库。本文介绍了预测mRNA可翻译性的计算机工具。可用性：mRNA可翻译性预测程序可在http://wwwmgs.bionet.nsc.ru/programs/acts2/mo_mRNA.htm（单子叶植物）、http://wwwmgs.bionet.nsc.ru/programs/acts2/di_mRNA.htm（双子叶植物）和http://wwwmgs.bionet.nsc.ru/programs/acts2/ma_mRNA.htm（哺乳动物）上获得。LEADER_RNA数据库可通过以下网址访问：http://wwwmgs.bionet.nsc.ru/systems/LeaderRNA/Contact：AK@bionet.nsc.ru。
Motivation: It is well known that eukaryotic mRNAs are translated at different levels depending on their sequence characteristics. Evaluation of mRNA translatability is of importance in prediction of the gene expression pattern by computer methods ann to improve the recognition of mRNAs within cloned nucleotide sequences. It may also be used in biotechnological experiments to optimize the expression of foreign genes in transgenic organisms.Results: The sets of 5' untranslated region characteristics, significantly different between mRNAs encoding abundant and scarce polypeptides, were determined for mammals, dicot plants and monocot plants, and collected in the LEADER_RNA database. Computer tools for the prediction of mRNA translatability are presented.Availability: Programs for mRNA translatability; prediction are available ar http://wwwmgs.bionet.nsc.ru/programs/acts2/mo_mRNA.htm (for monocots), http://wwwmgs.bionet.nsc.ru/programs/acts2/di_mRNA.htm (for dicots) and http://wwwmgs.bionet.nsc.ru/programs/acts2/ma_mRNA.htm (for mammals). The LEADER_RNA database may be accessed at: http://wwwmgs.bionet.nsc.ru/systems/LeaderRNA/Contact: AK@bionet.nsc.ru.