|Phone:||+420 54949 7834|
|Research group:||Protein-DNA Interactions - Konstantinos Tripsianes|
I develop novel algorithms for automated protein NMR resonance assignment from 4D spectra and new algorithms for Computer-Aided Drug Design.
My research interests comprise: Molecular Dynamics simulations, Protein Structure Prediction, Nuclear Magnetic Resonance, Structure- and Ligand- based Drug Design, Machine Learning, Chemoinformatics.
15. May 2018
Press Release, Brno, 15.5.2018; In the software competition named D3R Grand Challenge, which aims to promote technologies that will reduce the cost…
29. Jan. 2018
Press release, Brno, January 29, 2018 Researchers from CEITEC MU developed a streamlined strategy designed to meet the key objectives of NMR…
- Evangelidis, T; Nerli, S; Novacek, J; Brereton, AE; Karplus, PA; Dotas, RR; Venditti, V; Sgourakis, NG; Tripsianes, K, 2018: Automated NMR resonance assignments and structure determination using a minimal set of 4D spectra. NATURE COMMUNICATIONS 9, doi: 10.1038/s41467-017-02592-z
- Botou, M; Lazou, P; Papakostas, K; Lambrinidis, G; Evangelidis, T; Mikros, E; Frillingos, S, 2018: Insight on specificity of uracil permeases of the NAT/NCS2 family from analysis of the transporter encoded in the pyrimidine utilization operon of Escherichia coli. MOLECULAR MICROBIOLOGY 108(2), p. 204 - 219, doi: 10.1111/mmi.13931
- Marcos, E; Chidyausiku, TM; McShan, AC; Evangelidis, T; Nerli, S; Carter, L; Nivón, LG; Davis, A.; Oberdorfer, G; Tripsianes, K; Sgourakis, NG; Baker, D, 2018: De novo design of a non-local β-sheet protein with high stability and accuracy. NATURE STRUCTURAL & MOLECULAR BIOLOGY , doi: 10.1038/s41594-018-0141-6