Building reaction kinetic models for amiloid fibril growth

Authors

  • Svetoslav Marinov Markov Bulgarian Academy of Sciences

DOI:

https://doi.org/10.11145/j.biomath.2016.07.311

Abstract

In this work weВ  discuss some methodological aspects of the creation and formulation of mathematicalВ  models describing the growth of species from the point of view of reaction kinetics. Our discussion is based on familiar examples of growth models such as logistic growth and enzyme kinetics. WeВ В  propose several reaction networkВ  modelsВ  forВ  the amiloid fibrillation processes in the citoplasm. The solutions of the models are sigmoidal functions graphically visualized usingВ  the computer algebra system В  Mathematica.

Downloads

Published

2016-08-08

Issue

Vol. 5 No. 1 (2016)

Section

Communications and Reviews

License

The journal Biomath is an open access journal. All published articles are immeditely available online and the respective DOI link activated. All articles can be access for free and no reader registration of any sort is required. No fees are charged to authors for article submission or processing. Online publications are funded through volunteer work, donations and grants.

Authors who publish with this journal agree to the following terms:

  • Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License 4.0 that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
  • Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  • Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).