Literature DB >> 22016407

PRINCIPLE: a tool for associating genes with diseases via network propagation.

Assaf Gottlieb1, Oded Magger, Igor Berman, Eytan Ruppin, Roded Sharan.   

Abstract

SUMMARY: PRINCIPLE is a Java application implemented as a Cytoscape plug-in, based on a previously published algorithm, PRINCE. Given a query disease, it prioritizes disease-related genes based on their closeness in a protein-protein interaction network to genes causing phenotypically similar disorders to the query disease. AVAILABILITY: Implemented in Java, PRINCIPLE runs over Cytoscape 2.7 or newer versions. Binaries, default input files and documentation are freely available at http://www.cs.tau.ac.il/~bnet/software/PrincePlugin/. CONTACT: roded@tau.ac.il; assafgot@tau.ac.il.

Mesh：

Year:  2011        PMID： 22016407     DOI： 10.1093/bioinformatics/btr584

Source DB:  PubMed          Journal:  Bioinformatics        ISSN： 1367-4803            Impact factor:   6.937


  13 in total

1.  The potential of translational bioinformatics approaches for pharmacology research.

Authors:  Lang Li
Journal:  Br J Clin Pharmacol       Date:  2015-06-01       Impact factor: 4.335

2.  Benchmarker: An Unbiased, Association-Data-Driven Strategy to Evaluate Gene Prioritization Algorithms.

Authors:  Rebecca S Fine; Tune H Pers; Tiffany Amariuta; Soumya Raychaudhuri; Joel N Hirschhorn
Journal:  Am J Hum Genet       Date:  2019-05-02       Impact factor: 11.025

Review 3.  Network propagation: a universal amplifier of genetic associations.

Authors:  Lenore Cowen; Trey Ideker; Benjamin J Raphael; Roded Sharan
Journal:  Nat Rev Genet       Date:  2017-06-12       Impact factor: 53.242

Review 4.  Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review.

Authors:  Peter Csermely; Tamás Korcsmáros; Huba J M Kiss; Gábor London; Ruth Nussinov
Journal:  Pharmacol Ther       Date:  2013-02-04       Impact factor: 12.310

5.  Identification of anticancer drug target genes using an outside competitive dynamics model on cancer signaling networks.

Authors:  Tien-Dzung Tran; Duc-Tinh Pham
Journal:  Sci Rep       Date:  2021-07-08       Impact factor: 4.379

6.  Inferring drug-disease associations from integration of chemical, genomic and phenotype data using network propagation.

Authors:  Yu-Fen Huang; Hsiang-Yuan Yeh; Von-Wun Soo
Journal:  BMC Med Genomics       Date:  2013-11-11       Impact factor: 3.063

7.  HGPEC: a Cytoscape app for prediction of novel disease-gene and disease-disease associations and evidence collection based on a random walk on heterogeneous network.

Authors:  Duc-Hau Le; Van-Huy Pham
Journal:  BMC Syst Biol       Date:  2017-06-15

8.  Comparative analysis of protein interactome networks prioritizes candidate genes with cancer signatures.

Authors:  Yongsheng Li; Nidhi Sahni; Song Yi
Journal:  Oncotarget       Date:  2016-11-29

9.  Resistome analysis of Mycobacterium tuberculosis: Identification of aminoglycoside 2'-Nacetyltransferase (AAC) as co-target for drug desigining.

Authors:  Rakesh S Joshi; Mahendra D Jamdhade; Mahesh S Sonawane; Ashok P Giri
Journal:  Bioinformation       Date:  2013-02-21

Review 10.  Network-Based Approaches to Explore Complex Biological Systems towards Network Medicine.

Authors:  Giulia Fiscon; Federica Conte; Lorenzo Farina; Paola Paci
Journal:  Genes (Basel)       Date:  2018-08-31       Impact factor: 4.096
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.