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Photo of Martin Lercher

Section head

Prof. Dr. Martin Lercher
Universitätsstr. 1
Building: 25.02
Floor/Room: O2.36
+49 211 81-10546


Photo of Anja Walge

Office

Anja Walge
Universitätsstr. 1
Building: 25.02
Floor/Room: O2.35
+49 211 81-12163

Office Hours

Mo. - Th.
10 - 12 a.m.


Photo of Hugo Dourado

Research Fellow

Dr. Hugo Dourado
Universitätsstr. 1
Building: 25.02
Floor/Room: O2.33
+49 211 81-11651


Photo of Tin Yau Pang

Research fellow

Dr. Tin Yau Pang
Universitätsstr. 1
Building: 25.02
Floor/Room: O2.33
+49 211 81-11651


Tin did his PhD dissertation studying the bacterial genomes, analysing how horizontal transfer of DNA segments between bacteria facilitates their evolution and shapes their scaling laws. Thereafter, Tin continues his work on bacterial genomics, develops model to describe how DNA transfer shapes nucleotide substitution, and applies this model on the phylogenetic tree reconstruction of closely related bacterial strains that experience frequent DNA transfer.

In addition, Tin also studies metabolism in bacteria, exploring how adaptive evolution through DNA transfer constrains the network properties of metabolism, and how the limited space in the cytoplasm constrains the resource allocation among enzymes, ribosomes, and other molecular machineries in a bacterial cell.

Photo of Mayo Röttger

Research fellow

Dr. Mayo Röttger
Universitätsstr. 1
Building: 25.02
Floor/Room: O2.34
+49 211 81-12162


Photo of Deniz Sezer

Research Fellow

Dr. Deniz Sezer
Universitätsstr. 1
Building: 25.02
Floor/Room: O2.25
+49 211 81-13185


PhD Student

Sajjad Ghaffarinasabsharabiani
Universitätsstr. 1
Building: 25.02
Floor/Room: O2.38
+49 211 81-13716


Photo of Xiao-Pan Hu

PhD Student

Xiao-Pan Hu
Universitätsstr. 1
Building: 25.02
Floor/Room: O2.33
+49 211 81-11651


PhD Student

Alexander Kroll
Universitätsstr. 1
Building: 25.02
Floor/Room: O2.33


Knowledge about the Michaelis constant KM and the turnover number kcat for enzyme-catalyzed reactions is required for advanced models of cellular metabolis. However, since the experimental measurement of kcat and KM is difficult and time consuming, no experimental data exists for many relevant enzymes. To approach this problem, I am trying to predict these values using methods from Machine and Deep Learning. To train different models, I use information about enzyme structures, substrates, assay conditions, and metabolic network properties.

I was involved in organization and exercise groups for students in the following lectures:
- "Algorithmen und Datenstrukturen" (winter Semester 2019/2020)
- "Rechnerarchitektur" (sommer semester 2019)

Photo of Antonio Rigueiro

PhD Student

Antonio Rigueiro
Universitätsstr. 1
Building: 25.02
Floor/Room: O2.38
+49 211 81-13716


CAM (Crassulacean Acid Metabolism) is a major photosynthetic pathway that has evolved convergently in many plant families facing water-restricted environments. This pathway is able to combine high production rates with extreme water efficiency, attracting interest from basic and applied researchers. In my project I use modeling and computer simulations to better understand its central mechanisms and the paths followed in its evolution.

Photo of Swastik Mishra

PhD Student

Swastik Mishra
Universitätsstr. 1
Building: 25.02
Floor/Room: O2.38
+49 211 81-13716


Prokaryotic genomes are fluid and change rapidly over evolutionary time, because of the prevalence of horizontal gene transfer (HGT) among even distantly related lineages. I am working on quantitative and stochastic modeling of HGT in the broader context of how prokaryotes have contributed to the origin of eukaryotes. This also involves gaining a better understanding of what characteristics of genes and genomes boost or hinder HGT.

Photo of Peter Schubert

PhD Student

Peter Schubert
Universitätsstr. 1
Building: 25.02
Floor/Room: O2.33
+49 211 81-11651


I plan on constructing large-scale kinetic models and use them to determine metabolic states, including metabolite/protein concentrations, with higher accuracy compared to existing modeling approaches. Starting from available reconstructed genome-scale models (FBA-models), we would add enzymes, kinetics and protein synthesis. Models would be simulated using concepts of balanced growth theory. The work follows community standards of systems biology to improve quality and reusability.

Master Student

Maxim Chazam
Universitätsstr. 1
Building: 25.02
Floor/Room: O2.31
+49 211 81-15771


Master Student

Katharina Schwieren
Universitätsstr. 1
Building: 25.02
Floor/Room: O2.31
+49 211 81-15771


Photo of Käthe Weit

Master Student

Käthe Weit
Universitätsstr. 1
Building: 25.02
Floor/Room: O2.31
+49 211 81-15771


Photo of Ina Ott-Forsyth

Research Assistant

Ina Ott-Forsyth
Universitätsstr. 1
Building: 25.02
Floor/Room: O2.31
+49 211 81-15771


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