Photo of Martin  Lercher

Lehrstuhlinhaber

Prof. Dr. Martin Lercher

Universitätsstr. 1
Gebäude: 25.02
Etage/Raum: O2.36
Tel.: +49 211 81-10546
Fax.: +49 211 81-15767

Sprechstunde

Sprechstunde in Angelegenheiten des Prüfungsausschusses für den Bachelor-Studiengang Informatik:
(Anerkennung von Studienleistungen, Einstufungen, BAFöG-Bescheinigungen, Formalitäten der Prüfungsordnung, etc.).
In der Vorlesungszeit: Jeden Montag, 10:30 bis 12:30 Uhr.
Für diese Sprechstunde ist eine Anmeldung im Sekretariat (Frau Rennwanz, 25.12.01.44) erforderlich!
Bringen Sie bitte vollständige Unterlagen (bei Anerkennungsanträgen zusätzlich Kopien) zu Ihrem Termin mit!


Photo of Anja  Walge

Sekretariat

Anja Walge

Universitätsstr. 1
Gebäude: 25.02
Etage/Raum: O2.35
Tel.: +49 211 81-12163
Fax.: +49 211 81-15767

Sprechstunde

Mo. - Do.
10 - 12 Uhr


Photo of Thomas  Spitzlei

Administrator

Thomas Spitzlei

Universitätsstr. 1
Gebäude: 25.12
Etage/Raum: 02.48
Tel.: +49 211 81-11632
Fax.: +49 211 81-11638

Photo of Tin Yau Pang

wissenschaftlicher Mitarbeiter

Dr. Tin Yau Pang

Universitätsstr. 1
Gebäude: 25.02
Etage/Raum: O2.33
Tel.: +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.

wissenschaftlicher Mitarbeiter

Dr. Mayo Röttger

Universitätsstr. 1
Gebäude: 25.02
Etage/Raum: O2.34
Tel.: +49 211 81-12162

wissenschaftlicher Mitarbeiter

Dr. Deniz Sezer

Universitätsstr. 1
Gebäude: 25.02
Etage/Raum: O2.25
Tel.: +49 211 81-13185

Photo of Hugo  Dourado

Doktorand

Hugo Dourado

Universitätsstr. 1
Gebäude: 25.02
Etage/Raum: O2.33
Tel.: +49 211 81-11651

Photo of Xiao-Pan  Hu

Doktorand

Xiao-Pan Hu

Universitätsstr. 1
Gebäude: 25.02
Etage/Raum: O2.33
Tel.: +49 211 81-11651

Doktorand

Alexander Kroll

Universitätsstr. 1
Gebäude: 25.02
Etage/Raum: 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

Doktorand

Antonio Rigueiro

Universitätsstr. 1
Gebäude: 25.02
Etage/Raum: O2.38
Tel.: +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.

Doktorand

Swastik Mishra

Universitätsstr. 1
Gebäude: 25.02
Etage/Raum: O2.38
Tel.: +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.

Doktorand

Peter Schubert

Universitätsstr. 1
Gebäude: 25.02
Etage/Raum: O2.33
Tel.: +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.

Masterstudent

Maxim Chazam

Universitätsstr. 1
Gebäude: 25.02
Etage/Raum: O2.31
Tel.: +49 211 81-15771

Masterstudent

Katharina Schwieren

Universitätsstr. 1
Gebäude: 25.02
Etage/Raum: O2.31
Tel.: +49 211 81-15771

Masterstudent

Käthe Weit

Universitätsstr. 1
Gebäude: 25.02
Etage/Raum: O2.31
Tel.: +49 211 81-15771

SHK

Ina Ott-Forsyth

Universitätsstr. 1
Gebäude: 25.02
Etage/Raum: O2.31
Tel.: +49 211 81-15771

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