Literature DB >> 10888847

A mathematical model of caspase function in apoptosis.

M Fussenegger1, J E Bailey, J Varner.   

Abstract

Caspases (cysteine-containing aspartate-specific proteases) are at the core of the cell's suicide machinery. These enzymes, once activated, dismantle the cell by selectively cleaving key proteins after aspartate residues. The events culminating in caspase activation are the subject of intense study because of their role in cancer, and neurodegenerative and autoimmune disorders. Here we present a mechanistic mathematical model, formulated on the basis of newly emerging information, describing key elements of receptor-mediated and stress-induced caspase activation. We have used mass-conservation principles in conjunction with kinetic rate laws to formulate ordinary differential equations that describe the temporal evolution of caspase activation. Qualitative strategies for the prevention of caspase activation are simulated and compared with experimental data. We show that model predictions are consistent with available information. Thus, the model could aid in better understanding caspase activation and identifying therapeutic approaches promoting or retarding apoptotic cell death.

Entities:  

Mesh:

Substances:

Year:  2000        PMID: 10888847     DOI: 10.1038/77589

Source DB:  PubMed          Journal:  Nat Biotechnol        ISSN: 1087-0156            Impact factor:   54.908


  77 in total

Review 1.  Discovering patterns in microarray data.

Authors:  H B Burke
Journal:  Mol Diagn       Date:  2000-12

2.  Computational cell biology in the post-genomic era.

Authors:  A Levchenko
Journal:  Mol Biol Rep       Date:  2001       Impact factor: 2.316

3.  KDBI: Kinetic Data of Bio-molecular Interactions database.

Authors:  Z L Ji; X Chen; C J Zhen; L X Yao; L Y Han; W K Yeo; P C Chung; H S Puy; Y T Tay; A Muhammad; Y Z Chen
Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

4.  Identification of nucleocytoplasmic cycling as a remote sensor in cellular signaling by databased modeling.

Authors:  I Swameye; T G Muller; J Timmer; O Sandra; U Klingmuller
Journal:  Proc Natl Acad Sci U S A       Date:  2003-01-27       Impact factor: 11.205

5.  Mathematical modeling reveals threshold mechanism in CD95-induced apoptosis.

Authors:  M Bentele; I Lavrik; M Ulrich; S Stösser; D W Heermann; H Kalthoff; P H Krammer; R Eils
Journal:  J Cell Biol       Date:  2004-09-13       Impact factor: 10.539

6.  Mechanistic modelling suggests that the size of preneoplastic lesions is limited by intercellular induction of apoptosis in oncogenically transformed cells.

Authors:  Pavel Kundrát; Georg Bauer; Peter Jacob; Werner Friedland
Journal:  Carcinogenesis       Date:  2011-10-31       Impact factor: 4.944

7.  Computational modeling of signaling pathways mediating cell cycle checkpoint control and apoptotic responses to ionizing radiation-induced DNA damage.

Authors:  Yuchao Zhao; In Chio Lou; Rory B Conolly
Journal:  Dose Response       Date:  2011-10-25       Impact factor: 2.658

8.  Identification of optimal drug combinations targeting cellular networks: integrating phospho-proteomics and computational network analysis.

Authors:  Sergio Iadevaia; Yiling Lu; Fabiana C Morales; Gordon B Mills; Prahlad T Ram
Journal:  Cancer Res       Date:  2010-07-19       Impact factor: 12.701

Review 9.  Translational systems approaches to the biology of inflammation and healing.

Authors:  Yoram Vodovotz; Gregory Constantine; James Faeder; Qi Mi; Jonathan Rubin; John Bartels; Joydeep Sarkar; Robert H Squires; David O Okonkwo; Jörg Gerlach; Ruben Zamora; Shirley Luckhart; Bard Ermentrout; Gary An
Journal:  Immunopharmacol Immunotoxicol       Date:  2010-06       Impact factor: 2.730

10.  Integrated mechanistic and data-driven modelling for multivariate analysis of signalling pathways.

Authors:  Fei Hua; Sampsa Hautaniemi; Rayka Yokoo; Douglas A Lauffenburger
Journal:  J R Soc Interface       Date:  2006-08-22       Impact factor: 4.118

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.