Literature DB >> 14641099

Analysis and modelling of signal transduction pathways in systems biology.

K-H Cho1, O Wolkenhauer.   

Abstract

There is general agreement that a systems approach is needed for a better understanding of causal and functional relationships that generate the dynamics of biological networks and pathways. These observations have been the basis for efforts to get the engineering and physical sciences involved in life sciences. The emergence of systems biology as a new area of research is evidence for these developments. Dynamic modelling and simulation of signal transduction pathways is an important theme in systems biology and is getting growing attention from researchers with an interest in the analysis of dynamic systems. This paper introduces systems biology in terms of the analysis and modelling of signal transduction pathways. Focusing on mathematical representations of cellular dynamics, a number of emerging challenges and perspectives are discussed.

Mesh:

Year:  2003        PMID: 14641099     DOI: 10.1042/bst0311503

Source DB:  PubMed          Journal:  Biochem Soc Trans        ISSN: 0300-5127            Impact factor:   5.407


  10 in total

1.  Emergent decision-making in biological signal transduction networks.

Authors:  Tomás Helikar; John Konvalina; Jack Heidel; Jim A Rogers
Journal:  Proc Natl Acad Sci U S A       Date:  2008-02-04       Impact factor: 11.205

2.  An iterative identification procedure for dynamic modeling of biochemical networks.

Authors:  Eva Balsa-Canto; Antonio A Alonso; Julio R Banga
Journal:  BMC Syst Biol       Date:  2010-02-17

3.  Computational modeling with forward and reverse engineering links signaling network and genomic regulatory responses: NF-kappaB signaling-induced gene expression responses in inflammation.

Authors:  Shih Chi Peng; David Shan Hill Wong; Kai Che Tung; Yan Yu Chen; Chun Cheih Chao; Chien Hua Peng; Yung Jen Chuang; Chuan Yi Tang
Journal:  BMC Bioinformatics       Date:  2010-06-08       Impact factor: 3.169

4.  Differential Expressions of Ki-67, Bcl-2, and Apoptosis Index in Endometrial Cells of Women With and Without Type II Diabetes Mellitus and Their Correlation with Clinicopathological Variables.

Authors:  Ceyda Sancakli Usta; Gulay Turan; Meryem Hocaoglu; Cagla Bahar Bulbul; Kubra Kılıc; Akin Usta; Ertan Adalı
Journal:  Reprod Sci       Date:  2021-01-15       Impact factor: 3.060

5.  Signaling networks, network pathology and computational chemotherapy.

Authors:  Kwang-Hyun Cho
Journal:  Oncotarget       Date:  2013-02

6.  Machine Learning Neuroprotective Strategy Reveals a Unique Set of Parkinson Therapeutic Nicotine Analogs.

Authors:  Felipe Rojas-Rodríguez; Carlos Morantes; Andrés Pinzón; George E Barreto; Ricardo Cabezas; Leonardo Mariño-Ramírez; Janneth González
Journal:  Open Bioinforma J       Date:  2020-03-20

Review 7.  Computational systems biology in disease modeling and control, review and perspectives.

Authors:  Rongting Yue; Abhishek Dutta
Journal:  NPJ Syst Biol Appl       Date:  2022-10-03

8.  Assessing cumulative health risks from exposure to environmental mixtures - three fundamental questions.

Authors:  Ken Sexton; Dale Hattis
Journal:  Environ Health Perspect       Date:  2007-01-24       Impact factor: 9.031

9.  Hybrid optimization method with general switching strategy for parameter estimation.

Authors:  Eva Balsa-Canto; Martin Peifer; Julio R Banga; Jens Timmer; Christian Fleck
Journal:  BMC Syst Biol       Date:  2008-03-24

Review 10.  Diabetes mellitus and oxidative stress-A concise review.

Authors:  Ullah Asmat; Khan Abad; Khan Ismail
Journal:  Saudi Pharm J       Date:  2015-03-21       Impact factor: 4.330

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.