Literature DB >> 16870995

Efficient prediction of siRNAs with siRNArules 1.0: an open-source JAVA approach to siRNA algorithms.

Torgeir Holen1.   

Abstract

RNAi interference and siRNA have become useful tools for investigation of gene function. However, the discovery that not all siRNA are equally efficient made necessary screens or design algorithms to obtain high activity siRNA candidates. Several algorithms have been published, but they remain inefficient, obscure, or commercially restricted. This article describes an open-source JAVA program that is surprisingly efficient at predicting active siRNAs (Pearson correlation coefficient r = 0.52, n = 526 siRNAs). Furthermore, this version 1.0 sets the stage for further improvement of the free code by the open-source community (http://sourceforge.net/).

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Year:  2006        PMID: 16870995      PMCID: PMC1557693          DOI: 10.1261/rna.81006

Source DB:  PubMed          Journal:  RNA        ISSN: 1355-8382            Impact factor:   4.942


  22 in total

Review 1.  Assessing the accuracy of prediction algorithms for classification: an overview.

Authors:  P Baldi; S Brunak; Y Chauvin; C A Andersen; H Nielsen
Journal:  Bioinformatics       Date:  2000-05       Impact factor: 6.937

2.  Functional anatomy of siRNAs for mediating efficient RNAi in Drosophila melanogaster embryo lysate.

Authors:  S M Elbashir; J Martinez; A Patkaniowska; W Lendeckel; T Tuschl
Journal:  EMBO J       Date:  2001-12-03       Impact factor: 11.598

3.  Asymmetry in the assembly of the RNAi enzyme complex.

Authors:  Dianne S Schwarz; György Hutvágner; Tingting Du; Zuoshang Xu; Neil Aronin; Phillip D Zamore
Journal:  Cell       Date:  2003-10-17       Impact factor: 41.582

4.  siRecords: an extensive database of mammalian siRNAs with efficacy ratings.

Authors:  Yongliang Ren; Wuming Gong; Qiqi Xu; Xin Zheng; Dong Lin; Yejun Wang; Tongbin Li
Journal:  Bioinformatics       Date:  2006-01-28       Impact factor: 6.937

5.  Duplexes of 21-nucleotide RNAs mediate RNA interference in cultured mammalian cells.

Authors:  S M Elbashir; J Harborth; W Lendeckel; A Yalcin; K Weber; T Tuschl
Journal:  Nature       Date:  2001-05-24       Impact factor: 49.962

6.  Specific inhibition of gene expression by small double-stranded RNAs in invertebrate and vertebrate systems.

Authors:  N J Caplen; S Parrish; F Imani; A Fire; R A Morgan
Journal:  Proc Natl Acad Sci U S A       Date:  2001-07-31       Impact factor: 11.205

7.  Positional effects of short interfering RNAs targeting the human coagulation trigger Tissue Factor.

Authors:  Torgeir Holen; Mohammed Amarzguioui; Merete T Wiiger; Eshrat Babaie; Hans Prydz
Journal:  Nucleic Acids Res       Date:  2002-04-15       Impact factor: 16.971

8.  siRNAs generated by recombinant human Dicer induce specific and significant but target site-independent gene silencing in human cells.

Authors:  Hiroaki Kawasaki; Eigo Suyama; Mayu Iyo; Kazunari Taira
Journal:  Nucleic Acids Res       Date:  2003-02-01       Impact factor: 16.971

9.  Efficient reduction of target RNAs by small interfering RNA and RNase H-dependent antisense agents. A comparative analysis.

Authors:  Timothy A Vickers; Seongjoon Koo; C Frank Bennett; Stanley T Crooke; Nicholas M Dean; Brenda F Baker
Journal:  J Biol Chem       Date:  2002-12-23       Impact factor: 5.157

10.  Sequence, chemical, and structural variation of small interfering RNAs and short hairpin RNAs and the effect on mammalian gene silencing.

Authors:  Jens Harborth; Sayda M Elbashir; Kim Vandenburgh; Heiko Manninga; Stephen A Scaringe; Klaus Weber; Thomas Tuschl
Journal:  Antisense Nucleic Acid Drug Dev       Date:  2003-04
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  12 in total

1.  Comparing artificial neural networks, general linear models and support vector machines in building predictive models for small interfering RNAs.

Authors:  Kyle A McQuisten; Andrew S Peek
Journal:  PLoS One       Date:  2009-10-22       Impact factor: 3.240

2.  A role for human Dicer in pre-RISC loading of siRNAs.

Authors:  Kumi Sakurai; Mohammed Amarzguioui; Dong-Ho Kim; Jessica Alluin; Bret Heale; Min-sun Song; Anne Gatignol; Mark A Behlke; John J Rossi
Journal:  Nucleic Acids Res       Date:  2010-10-23       Impact factor: 16.971

3.  siPRED: predicting siRNA efficacy using various characteristic methods.

Authors:  Wei-Jie Pan; Chi-Wei Chen; Yen-Wei Chu
Journal:  PLoS One       Date:  2011-11-10       Impact factor: 3.240

4.  Specific residues at every third position of siRNA shape its efficient RNAi activity.

Authors:  Takayuki Katoh; Tsutomu Suzuki
Journal:  Nucleic Acids Res       Date:  2007-01-26       Impact factor: 16.971

5.  More complete gene silencing by fewer siRNAs: transparent optimized design and biophysical signature.

Authors:  Istvan Ladunga
Journal:  Nucleic Acids Res       Date:  2006-12-14       Impact factor: 16.971

6.  VIRsiRNApred: a web server for predicting inhibition efficacy of siRNAs targeting human viruses.

Authors:  Abid Qureshi; Nishant Thakur; Manoj Kumar
Journal:  J Transl Med       Date:  2013-12-11       Impact factor: 5.531

7.  Mini-clusters with mean probabilities for identifying effective siRNAs.

Authors:  Jia Xingang; Zuhong Lu; Qiuhong Han
Journal:  BMC Res Notes       Date:  2012-09-18

8.  Design of siRNA Therapeutics from the Molecular Scale.

Authors:  Phillip Angart; Daniel Vocelle; Christina Chan; S Patrick Walton
Journal:  Pharmaceuticals (Basel)       Date:  2013

9.  Approximate Bayesian feature selection on a large meta-dataset offers novel insights on factors that effect siRNA potency.

Authors:  Jochen W Klingelhoefer; Loukas Moutsianas; Chris Holmes
Journal:  Bioinformatics       Date:  2009-05-06       Impact factor: 6.937

10.  AsiDesigner: exon-based siRNA design server considering alternative splicing.

Authors:  Young-Kyu Park; Seong-Min Park; Young-Chul Choi; Doheon Lee; Misun Won; Young Joo Kim
Journal:  Nucleic Acids Res       Date:  2008-05-14       Impact factor: 16.971

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