PhD Scientific Days 2017

Oral Presentations: Basic Sciences II.

Translocatome: a novel tool for the functional analysis of protein translocation between cellular organelles

Előadó neve

Veres, Daniel

Előadó munkahelye

Semmelweis University, Department of Medical Chemistry

Előadó telefonszáma

+36209811795

Előadó e-mail címe

veres.daniel1@med.semmelweis-univ.hu

Az előadás címe

Translocatome: a novel tool for the functional analysis of protein translocation between cellular organelles

Szerző(k) neve és munkahelye

Daniel Veres 1, Peter Csermely 2
1,2 Department of Medical Chemistry, Semmelweis University, Budapest

Témacsoport

molecular sciences

Szekció

Oral Presentations: Basic Sciences II.

Data of the presenter

Doctoral School: MOLECULAR MEDICINE
Program: Pathobiochemistry
Supervisor: Peter Csermely
E-mail address: veres.daniel1@med.semmelweis-univ.hu

Text of the abstract

Localization of proteins in subcellular compartments has a key role in cellular regulation and function. In eukaryotic cells, organelles are well distinguished cellular components with different microenvironments. Translocation is considered as a process when functionally active proteins change their subcellular localization in a regulated manner. Although, how individual transcription factors translocate from the cytoplasm to the nucleus resulting in an alteration in cellular behaviour is well known, systematic analysis of this phenomenon is still missing.
During our research, we have gathered detailed information for more than 150 human translocating proteins by manual curation of related articles. We have developed a database that contains relevant localization, structural and regulation related properties of the proteins. We have named this database Translocatome, which is planned to be accessible through a user-friendly web application.
The Translocatome server communicates with our in-house developed ComPPI database, from where interaction data for more than 13000 proteins have been imported. This data is used to create a protein-protein interaction network, that enables us to predict the probability of protein translocation with a computational algorithm. The algorithm is able to adjust translocation probability scores to the proteins based on the identified differences between a positive (translocating) and a negative (not translocating) training set. The predictions are validated by manual curation or using experimental techniques.
Translocatome is a novel tool for the systematic analysis of the protein translocation process that helps to understand the role of this phenomenon in the development of certain diseases. We attempt to further investigate the translocating proteins by dynamic network simulations on cancer-specific cell models and to find possible connections between the proteins and the malignancy of the disease. With the help of our results new drug targets could be discovered.

Kind

Szabad

Előadás fájl jóváhagyás

nem rendelkezett róla

Előadó

1537

Authors (legacy)

Daniel Veres 1, Peter Csermely 2
1,2 Department of Medical Chemistry, Semmelweis University, Budapest