NACE: A web-based tool for prediction of intercompartmental efficiency of human molecular genetic networks-Reference-Cited by-同舟云学术

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NACE: A web-based tool for prediction of intercompartmental efficiency of human molecular genetic networks

Published:2016-06 Issue: Volume:218 Page:79-85
ISSN:0168-1702
Container-title:Virus Research
language:en
Short-container-title:Virus Research

Author:

Popik Olga V.,Ivanisenko Timofey V.,Saik Olga V.,Petrovskiy Evgeny D.,Lavrik Inna N.,Ivanisenko Vladimir A.

Funder

Russian Science Foundation

FP7 EU

Publisher

Elsevier BV

Subject

Cancer Research,Infectious Diseases,Virology

Reference24 articles.

1. Bgee: integrating and comparing heterogeneous transcriptome data among species;Bastian;Data Integration in the Life Sciences,2008

2. Gene expression profiling indicates the roles of host oxidative stress, apoptosis, lipid metabolism, and intracellular transport genes in the replication of hepatitis C virus;Blackham;J. Virol.,2010

3. Metabolic control analysis in drug discovery and disease;Cascante;Nat. Biotechnol.,2002

4. Modeling and stochastic simulation of the Ras/cAMP/PKA pathway in the yeast Saccharomyces cerevisiae evidences a key regulatory function for intracellular guanine nucleotides pools;Cazzaniga;J. Biotechnol.,2008

5. Robustness and fragility of Boolean models for genetic regulatory networks;Chaves;J. Theor. Biol.,2005

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