A Singular Value Based Probability Algorithm for Protein Cleavage

T. Stolte () and P. Rentrop
Additional contact information
T. Stolte: Technische Universität München, M2 — Zentrum Mathematik
P. Rentrop: Technische Universität München, M2 — Zentrum Mathematik

A chapter in From Nano to Space, 2008, pp 99-110 from Springer

Abstract: Abstract Protein degradation by the proteasome is one of the key steps in cell biology and in immune biology. For degradation a mathematical model can be based on a binomial distribution, where the wanted cleavage probabilities are characterized by a minimization problem. The proposed method analyzes the singular values of the Jacobian, thus giving a significant parameter reduction. The computation time is 50 fold reduced compared to the unreduced model, which in practice means hours instead of days for a run. The implementation is based on MATLAB.

Keywords: Cleavage Site; Singular Value Decomposition; Detection Probability; High Pressure Liquid Chromatography; Protein Cleavage (search for similar items in EconPapers)
Date: 2008
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-540-74238-8_9

Ordering information: This item can be ordered from
http://www.springer.com/9783540742388

DOI: 10.1007/978-3-540-74238-8_9

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().