Thesis supervisor: Gábor Tusnády
Location of studies (in Hungarian): Institute of Enzymology, Research Centre for Natural Sciences Abbreviation of location of studies: H-REN
Description of the research topic:
Although in recent years AlphaFold2 and other artificial intelligence techniques have made a huge breakthrough in modeling protein structures and have now been used to model the structure of proteins in proteomes of all living organisms at the monomer level, the determination of the transient and static relationships between proteins and the structure of these complexes is still a huge challenge for science. For transmembrane proteins, this challenge is even more difficult, considering that the above methods do not take into account at all the sterical constraints imposed by the double lipid layer in the structure estimation, thus estimating many models that are bound to be incorrect for membrane-embedded proteins. In the PhD, we aim to develop bioinformatics methods using artificial intelligence that are suitable for both modeling the structure of static homo- and hetero-oligomeric complexes for transmembrane proteins and mapping transient interactions between these proteins.
Required language skills: English Further requirements: Programing skill in C, C++, python or PHP
Number of students who can be accepted: 2
Deadline for application: 2024-05-31
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
Login
