Minimizing cell signalling pathway elements using lumping parameters

Basit Öğe Kaydı
dc.authoridKhoshnaw, Sarbaz/0000-0002-9176-8108
dc.authoridRasool, Hemn/0000-0001-6756-0545
dc.contributor.authorAkgul, Ali
dc.contributor.authorKhoshnaw, Sarbaz H. A.
dc.contributor.authorRasool, Hemn M.
dc.date.accessioned2024-12-24T19:25:09Z
dc.date.available2024-12-24T19:25:09Z
dc.date.issued2020
dc.departmentSiirt Üniversitesi
dc.description.abstractMany complex cell signaling pathway models contain a large number of state variables and parameters. Such models often require computational tools and techniques of model reduction to minimize the number of elements. Techniques of model reduction play an important role in var-ious theoretical and practical applications in systems biology. We introduce a model an approach of model reduction based on lumping of parameters. The suggested technique provides us a good step forward in minimizing model parameters for cell signaling pathways. The proposed technique is applied for the mathematical modeling of NF-kappa B signal transduction pathway. The number of parameters is reduced from 37 to 8. Some numerical simulations are computed for different initial values. Results provide a good agreement between the complete and the simplified model with a high degree of predictive accuracy. More interestingly, the suggested technique in this work could be used by biologists for simplifying the complexity of cell signaling pathways and identifying crit-ical model parameters. (C) 2020 The Authors. Published by Elsevier B.V. on behalf of Faculty of Engineering, Alexandria University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/ licenses/by-nc-nd/4.0/).
dc.description.sponsorshipUniversity of Raparin
dc.description.sponsorshipThis research was partially supported by the University of Raparin. We are thankful to our universities that providing us with wonderful facilities. These supports are greatly appreciated.
dc.identifier.doi10.1016/j.aej.2020.01.041
dc.identifier.endpage2169
dc.identifier.issn1110-0168
dc.identifier.issn2090-2670
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85080071681
dc.identifier.scopusqualityQ1
dc.identifier.startpage2161
dc.identifier.urihttps://doi.org/10.1016/j.aej.2020.01.041
dc.identifier.urihttps://hdl.handle.net/20.500.12604/6294
dc.identifier.volume59
dc.identifier.wosWOS:000563769700011
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofAlexandria Engineering Journal
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241222
dc.subjectMathematical modeling
dc.subjectLumping components
dc.subjectModel reductions
dc.subjectCell signaling pathways
dc.subjectComputational simulation
dc.titleMinimizing cell signalling pathway elements using lumping parameters
dc.typeArticle

Dosyalar

Koleksiyon

WOS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu