PrankWebMarian Novotný from UKPrankWeb (https://prankweb.cz/) is a tool predicting ligand binding sites on 3D structures using machine learning algorithms. The tool is integrated into the PDBe-KB. We will present both its current state and its future developments.Meet us online every friday morning to explore the portfolio of ELIXIR CZ tools and services at https://global.gotomeeting.com/join/508817845 .Registration is not neededFuture webinarsSince September every Friday at 9:30.Take a look at the webinar and give us your feedback. Please note that online session will be recorded and may be used on ELIXIR CZ website, social media, in ELIXIR CZ e-publications and any other ELIXIR CZ online materials.
We are sorry to inform you that due to ELIXIR CZ Annual Conference 2021 we need to skip a usual service introduction on Friday, 26 November. Join us for the conference, registration is open until 11 November, or have a look on our video library on YouTube
projít na článekcpPredictor: template based prediction of RNA secondary structuresJosef Pánek from MBU Cpredict is an algorithm for template-based prediction of secondary structures of RNAs. As templates, experimentally identified RNA structures are used. Reliability of
projít na článekIRESs, IRESite and HCVIVdbMartin Pospíšek from PřF UK Our long-term interest in internal ribosome entry sites (IRES) resulted in development of two specialized databases IRESite presenting information about the known experimentally studied IRESs, their s
projít na článekAfter the summer break, the series of webinars introducing our services is back. Learn about tools and databases developed by ELIXIR CZ, which have great potential to help you in your daily research work. Every Friday at 9:30am, you can have a closer look
projít na článekCaverDock: Analysis of Ligand Transport through Protein TunnelsOndřej Vávra from ICRCUnderstanding protein-ligand interactions is crucial for drug design and enzyme engineering. The interaction of protein and small ligand molecule often takes place in pro
projít na článek