Understanding the Sub-Cellular Dynamics of Silicon Transportation and Synthesis in Diatoms Using Population-Level Data and Computational Optimization

PLoS Computational Biology

Volumn 10, Issue 6, 2014, Pages

  Javaheri, Narjes ^a   Dries, Roland ^a,b   Kaandorp, Jaap ^a  

^a UNIVERSITY OF AMSTERDAM   (Netherlands)

^b FOM INSTITUTE AMOLF   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

CELLS; CHEMICAL ANALYSIS; CYTOLOGY; DEPOSITION RATES; ENZYMES; NANOSTRUCTURES; NUTRIENTS; OPTIMIZATION; PHYTOPLANKTON; POPULATION STATISTICS; SILICA;

CELLULAR DYNAMICS; COMPUTATIONAL OPTIMIZATION; CONTROLLED SYNTHESIS; DATA OPTIMIZATION; MASS TRANSPORT EQUATION; MATERIAL SCIENCE; POPULATION LEVELS; SILICA DEPOSITION; SUB-CELLULAR; UNICELLULAR ALGA;

SILICON;

CELL ENZYME; SILICON; SILICON DIOXIDE; PROTEIN; SILICIC ACID;

ARTICLE; BIOSYNTHESIS; CELL COMPARTMENTALIZATION; CELL DIVISION; CONSERVATION BIOLOGY; CYTOLOGY; CYTOPLASM; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MATHEMATICAL PARAMETERS; MICHAELIS MENTEN KINETICS; MOLECULAR DYNAMICS; NONHUMAN; NUTRIENT; POPULATION STRUCTURE; PREDICTION; PROTEIN TRANSPORT; SENSITIVITY ANALYSIS; THALASSIOSIRA PSEUDONANA; BIOLOGICAL MODEL; BIOLOGY; CHEMISTRY; DIATOM; INTRACELLULAR SPACE; METABOLISM; PHYSIOLOGY;

COMPUTATIONAL BIOLOGY; DIATOMS; INTRACELLULAR SPACE; MODELS, BIOLOGICAL; PROTEINS; SILICIC ACID; SILICON;

EID: 84903388360     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1003687     Document Type: Article

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