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Tom Fahland

dblp:98/4966 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2001
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › systems biology › metabolic network modeling
metabolic network simulation
0.012001
Dynamic simulation of the human red blood cell metabolic network · Bioinform. 2001
Bioinformatics and computational biology › systems biology › kinetic modeling
biochemical kinetics modeling
0.012001
Dynamic simulation of the human red blood cell metabolic network · Bioinform. 2001

Methods — techniques the papers use, named apart from their topics

ordinary differential equation simulation · 0.0kinetic modeling · 0.0
YearPublicationVenuePosition
2001 Dynamic simulation of the human red blood cell metabolic network
abstract
Abstract Summary: We have developed a Mathematica®application package to perform dynamic simulations of the red blood cell (RBC) metabolic network. The package relies on, and integrates, many years of mathematical modeling and biochemical work on red blood cell metabolism. The extensive data regarding the red blood cell metabolic network and the previous kinetic analysis of all the individual components makes the human RBC an ideal ‘model’ system for mathematical metabolic models. The Mathematica package can be used to understand the dynamics and regulatory characteristics of the red blood cell. Availability: The Mathematica package and an example file can be downloaded from http://gcrg.ucsd.edu
Neema Jamshidi, Jeremy S. Edwards, Tom Fahland, George M. Church, Bernhard O. Palsson
Bioinform.3