Literature DB >> 18175271

Emerging applications of network and pathway analysis in drug discovery and development.

Brigitte Ganter1, Craig N Giroux.   

Abstract

Molecular pathway and network analysis tools that have been developed over the past decade provide an emerging systems-wide perspective for the analysis of gene expression, proteomic and metabolomic data. These tools link relevant extracted literature information available from structured knowledge bases with user-friendly features that enable analysis and interpretation of the global impact of a disease stage or drug treatment. Pathway and network analysis tools have been found to have broad applicability within the biomedical community, most specifically in cancer research to elucidate mechanisms of tumor progression and for biomarker discovery, and more recently in the area of drug discovery and development. This review discusses recent applications of pathway and network analysis for predictive in silico modeling in the area of drug discovery and development, including theoretical and practical advances and the implications for their application.

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Mesh:

Year:  2008        PMID: 18175271

Source DB:  PubMed          Journal:  Curr Opin Drug Discov Devel        ISSN: 1367-6733


  30 in total

1.  A genome-wide RNAi screen for polypeptides that alter rpS6 phosphorylation.

Authors:  Angela Papageorgiou; Joseph Avruch
Journal:  Methods Mol Biol       Date:  2012

2.  Cyclophilin B as a co-regulator of prolactin-induced gene expression and function in breast cancer cells.

Authors:  Feng Fang; Jiamao Zheng; Traci L Galbaugh; Alyson A Fiorillo; Elizabeth E Hjort; Xianke Zeng; Charles V Clevenger
Journal:  J Mol Endocrinol       Date:  2010-03-17       Impact factor: 5.098

3.  KPP: KEGG Pathway Painter.

Authors:  Ganiraju Manyam; Aybike Birerdinc; Ancha Baranova
Journal:  BMC Syst Biol       Date:  2015-04-15

Review 4.  Network inference and network response identification: moving genome-scale data to the next level of biological discovery.

Authors:  Diogo F T Veiga; Bhaskar Dutta; Gábor Balázsi
Journal:  Mol Biosyst       Date:  2009-12-11

Review 5.  Mechanisms of drug combinations: interaction and network perspectives.

Authors:  Jia Jia; Feng Zhu; Xiaohua Ma; Zhiwei Cao; Zhiwei W Cao; Yixue Li; Yixue X Li; Yu Zong Chen
Journal:  Nat Rev Drug Discov       Date:  2009-02       Impact factor: 84.694

6.  Metabolomics study of type 2 diabetes using ultra-performance LC-ESI/quadrupole-TOF high-definition MS coupled with pattern recognition methods.

Authors:  Ai-hua Zhang; Hui Sun; Guang-li Yan; Ye Yuan; Ying Han; Xi-jun Wang
Journal:  J Physiol Biochem       Date:  2013-08-24       Impact factor: 4.158

7.  Genomic and geographic distribution of private SNPs and pathways in human populations.

Authors:  Tesfaye M Baye; Russell A Wilke; Michael Olivier
Journal:  Per Med       Date:  2009-11-01       Impact factor: 2.512

8.  Expression of cyclophilin B is associated with malignant progression and regulation of genes implicated in the pathogenesis of breast cancer.

Authors:  Feng Fang; Ayanna J Flegler; Pan Du; Simon Lin; Charles V Clevenger
Journal:  Am J Pathol       Date:  2008-12-04       Impact factor: 4.307

9.  A novel algorithm for detecting differentially regulated paths based on gene set enrichment analysis.

Authors:  Andreas Keller; Christina Backes; Andreas Gerasch; Michael Kaufmann; Oliver Kohlbacher; Eckart Meese; Hans-Peter Lenhof
Journal:  Bioinformatics       Date:  2009-08-27       Impact factor: 6.937

10.  Moderate strength (0.23-0.28 T) static magnetic fields (SMF) modulate signaling and differentiation in human embryonic cells.

Authors:  Zhiyun Wang; Anshu Sarje; Pao-Lin Che; Kevin J Yarema
Journal:  BMC Genomics       Date:  2009-08-04       Impact factor: 3.969

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