Dr. Maksim Zakhartsev

Reconstruction of whole-genome metabolic model of Atlantic salmon Salmo salar. The goal of the project is optimisation of the fish growth by means of diet for application in salmon farming • network reconstruction • Flux Balance Analysis • integration of high-throughput experimental data • model parameterization. The model aims to optimize a whole range of possible diets of farmed salmon. Gut microbiota will receive particular attention.

Optimization of large-scale proteomics using Orbitrap MS analyser Q Exactive Plus (ThermoScientific) • Arabidopsis kinome: exploration of possibilities for modeling of plant signaling pathways • Dynamic interactome of the H+-ATPase: phosphoproteomics / PPI • SCX and RP HPLC of peptides • UltraHPLC (Easy nLC, ThermoScientific) • sample preparation • data analysis in MaxQuant • peptide library construction

MS centric aproach in shotgun proteomics using LC-MS/MS: deep proteomics • Orbitrap MS analyser Q Exactive (ThermoScientific) • SCX and RP HPLC of peptides • UltraHPLC (Easy nLC, ThermoScientific) • sample preparation • data analysis in MaxQuant • peptide library construction

Research area: dynamic modeling of yeast central carbon metabolism

Institute of Pharmacy and Molecular Biotechnology (IPMB). MedSys project “Drug based induction of pluripotent human stem cells derived from human somatic cells”: drug discovery • screening assay development • target identification • mathematical modeling • Teaching: Metabolic Engineering • practical courses on Biochemistry and Bioanalytics

Institut für Bioverfahrenstechnik (IBVT). SysMO project “Microorganism Systems Biology: energy and Saccharomyces cerevisiae”: dynamic modeling of metabolic network • fermentation • perturbation experiments • robotized metabolomics • bioanalytics (GS-MS, HPLC) • network reconstruction • metabolic flux balance analysis • model parameterization

Project “Metabolic compensation of temperature effect in yeast central metabolism”: metabolic adaptation • fermentation • metabolomics • NMR • cellular energy metabolism • modeling

Department of Biochemical Engineering. Research area: yeast metabolic engineering • directed protein evolution • HTS • assay development • bioanalytics • downstream processes • protein purification • biothermodynamics • whole genome microarray analysis • high throughput platform technologies/devices • mass spectrometry Teaching: biochemistry • metabolic engineering • high throughput screening technologies • practical courses • seminars

Physiological and molecular adaptation of ectotherms to temperature

Comparative Biochemistry, Adaptational Biochemistry of marine organisms

chromatography, lipidology, adaptational biochemistry