PhD Scientific Days 2024

Molecular Medicine II.

In silico investigation of the dual role of autophagy

Előadó neve

Mr. Hajdú, Bence

Neptun code

ds5m1p

Előadó munkahelye

Department of Molecular Biology Semmelweis University, Institute of Biochemistry and Molecular Biology

Előadó telefonszáma

+36302489654

Előadó e-mail címe

hajdu.bence@phd.semmelweis.hu

Az előadás címe

In silico investigation of the dual role of autophagy

Szerző(k) neve és munkahelye

Bence Hajdú¹, Tibor Nagy², Orsolya Kapuy¹

1: Department of Molecular Biology Semmelweis University, Institute of Biochemistry and Molecular Biology
2: Institute of Materials and Environmental Chemistry Hungarian Research Network

Bemutatás módja

Szóbeli

Szekció

Molecular Medicine II.

Language of the presentation

English

Preferred session

Molecular Medicine

Összefoglaló szövege

Autophagy is an evolutionarily conserved dynamic catabolic process in eukaryotic cells, where doublemembrane vesicles containing cytoplasmic components are
formed and degraded in specialized vesicles. It primarily influences cell survival by maintaining the cell's energy balance and degrading damaged macromolecules and
organelles. However, due to it being tightly connected to apoptosis, autophagy can also promote cell death. Consequently, the modulation of autophagy plays dual roles
in tumor cells, both promoting and suppressing tumor proliferation. To better understand this nature of autophagy we made a chemical reaction kinetics model of
autophagy and apoptosis. The initial model was made by Bing Liu [1]. It is a mass action kinetic model containing 94 species, 119 reactions and 129 parameters. They
only used one data set for the parameter estimation and initial conditions for the species were not provided also as well. Therefore the model cannot be used for general
simulations. To further develop the model realistic initial value conditions were given for each species. Then the model was optimized with the Optima++ software
package. A new parameter set was estimated with our group’s previously published data to estimate the parameters and validate the model [2,3]. The improved model
is able to track the concentration changes in time of several regulatory proteins with reasonable accuracy, making the model usable for in silico investigation of autophagy
related diseases. Supported by the ÚNKP233II new National Excellence Program of the Ministry for Culture and Innovation from the sources of the National
Research, Development and Innovation Fund.

University

Semmelweis University

Supervisor

Dr. Orsolya Kapuy

Publication of my abstract

I give consent to the publication of my abstract on the website of the congress.

Kind

Szabad

Status

elfogadva

Accepted presentation method

szóbeli

Előadás fájl jóváhagyás

nem rendelkezett róla

Előadó

8054

Start

16:15

End

16:25