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Computational prediction and analysis of impact of the cross‐talks between JNK and P38 kinase cascades
Signal transduction is a complex protein signaling process with a rich network of multifunctional interactions that occur in a non‐linear fashion. Mitogen‐activated protein kinase (MAPK) signal transduction pathways regulate diverse cellular processes ranging from proliferation and differentiation t...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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Biomedical Informatics Publishing Group
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2646859/ https://www.ncbi.nlm.nih.gov/pubmed/19255644 |
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author | Sundaramurthy, Pandurangan Gakkhar, Sunita Sowdhamini, Ramanathan |
author_facet | Sundaramurthy, Pandurangan Gakkhar, Sunita Sowdhamini, Ramanathan |
author_sort | Sundaramurthy, Pandurangan |
collection | PubMed |
description | Signal transduction is a complex protein signaling process with a rich network of multifunctional interactions that occur in a non‐linear fashion. Mitogen‐activated protein kinase (MAPK) signal transduction pathways regulate diverse cellular processes ranging from proliferation and differentiation to apoptosis. In mammals, out of five, there are three well characterized subfamilies of MAPKs ‐ ERKs (Extracellular signal‐regulated kinases), JNKs (c‐Jun N‐terminal kinases), and P38 kinases, and their activators, are implicated in human diseases and are targets for drug development. Kinase cascades in MAPK pathways mediate the sensing and processing of stimuli. To understand how cells makes decisions, the dynamic interactions of components of signaling cascades are important rather than just creating static maps. Based on enzyme kinetic reactions, we have developed a mathematical model to analyze the impact of the cross‐talks between JNK and P38 kinase cascades. Cross‐talks between JNK and P38 kinase cascades influence the activities of P38 kinases. Responses of the signals should be studied for network of kinase cascades by considering cross‐talks. |
format | Text |
id | pubmed-2646859 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Biomedical Informatics Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-26468592009-03-02 Computational prediction and analysis of impact of the cross‐talks between JNK and P38 kinase cascades Sundaramurthy, Pandurangan Gakkhar, Sunita Sowdhamini, Ramanathan Bioinformation Hypothesis Signal transduction is a complex protein signaling process with a rich network of multifunctional interactions that occur in a non‐linear fashion. Mitogen‐activated protein kinase (MAPK) signal transduction pathways regulate diverse cellular processes ranging from proliferation and differentiation to apoptosis. In mammals, out of five, there are three well characterized subfamilies of MAPKs ‐ ERKs (Extracellular signal‐regulated kinases), JNKs (c‐Jun N‐terminal kinases), and P38 kinases, and their activators, are implicated in human diseases and are targets for drug development. Kinase cascades in MAPK pathways mediate the sensing and processing of stimuli. To understand how cells makes decisions, the dynamic interactions of components of signaling cascades are important rather than just creating static maps. Based on enzyme kinetic reactions, we have developed a mathematical model to analyze the impact of the cross‐talks between JNK and P38 kinase cascades. Cross‐talks between JNK and P38 kinase cascades influence the activities of P38 kinases. Responses of the signals should be studied for network of kinase cascades by considering cross‐talks. Biomedical Informatics Publishing Group 2009-01-12 /pmc/articles/PMC2646859/ /pubmed/19255644 Text en © 2009 Biomedical Informatics Publishing Group This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited. |
spellingShingle | Hypothesis Sundaramurthy, Pandurangan Gakkhar, Sunita Sowdhamini, Ramanathan Computational prediction and analysis of impact of the cross‐talks between JNK and P38 kinase cascades |
title | Computational prediction and analysis of impact of the cross‐talks between JNK and P38 kinase cascades |
title_full | Computational prediction and analysis of impact of the cross‐talks between JNK and P38 kinase cascades |
title_fullStr | Computational prediction and analysis of impact of the cross‐talks between JNK and P38 kinase cascades |
title_full_unstemmed | Computational prediction and analysis of impact of the cross‐talks between JNK and P38 kinase cascades |
title_short | Computational prediction and analysis of impact of the cross‐talks between JNK and P38 kinase cascades |
title_sort | computational prediction and analysis of impact of the cross‐talks between jnk and p38 kinase cascades |
topic | Hypothesis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2646859/ https://www.ncbi.nlm.nih.gov/pubmed/19255644 |
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