cpPredictor：一个基于模板的 RNA 二级结构预测的网络服务器。

cpPredictor: a web server for template-based prediction of RNA secondary structure.

机构信息

Laboratory of Bioinformatics, Institute of Microbiology, The Czech Academy of Sciences, Prague 1, Czech Republic.

出版信息

Bioinformatics. 2019 Apr 1;35(7):1231-1233. doi: 10.1093/bioinformatics/bty753.

DOI:10.1093/bioinformatics/bty753

PMID:30169571

Abstract

SUMMARY

We present the cpPredictor webserver that implements a novel template-based method for prediction of secondary structure of RNA. The method outperforms available prediction methods as it uses RNA structures of related molecules, either predicted or experimentally identified, as structural templates. The server aims at three major tasks: i) prediction of RNA secondary structures that are difficult to predict by available methods, ii) characterization of uncharacterized RNAs as compatible or incompatible with a chosen template structure and iii) an identification of the most relevant structure among different candidate structures of a single RNA ambiguously predicted by available methods. The web server is accompanied with a comprehensive documentation.

AVAILABILITY AND IMPLEMENTATION

The web server is freely available at http://cppredictor.elixir-czech.cz/. The source code of the cpPredictor algorithm is freely available from the webserver under the Apache License, Version 2.0.

摘要

我们介绍了 cpPredictor 网络服务器，它实现了一种新的基于模板的方法，用于预测 RNA 的二级结构。该方法优于现有的预测方法，因为它使用了相关分子的 RNA 结构，无论是预测的还是实验确定的，作为结构模板。该服务器旨在完成三个主要任务：i）预测现有方法难以预测的 RNA 二级结构，ii）鉴定未知 RNA 与所选模板结构是否兼容，以及 iii）在现有方法模糊预测的单个 RNA 的不同候选结构中，鉴定最相关的结构。该网络服务器附有全面的文档。