COVID-19 Measures

All CIISB Core facilities are fully functional. Visits of external foreign users are regulated by the Measures concerning foreigners and border crossing of the Czech Government. Please, check the current status on the web and contact the staff for details.

CIISB offers priority access to groups that need to use CIISB structural biology services for projects directly related to studies of the virus and projects aiming to develop an effective vaccine or treatment. To request priority access, please submit a research proposal with „COVID-19“ in the title of the proposal, through the online application system HERE. Successfully accepted proposals will be free of charge, and no financial contribution will be requested for the measurement/service.

Czech National Centre of the European Research Infrastructure Consortium INSTRUCT ERIC

CIISB video presentation

A gateway to realm of structural data for biochemists, biophysicists, molecular biologist, and all scientists whose research benefits from accurate structure determination of biological macromolecules, assemblies, and complex molecular machineries at atomic resolution.

Open access to 10 high-end core facilities and assisted expertise in NMR, X-ray crystallography and crystallization, cryo-electron microscopy and tomography, biophysical characterization of biomolecular interaction, nanobiotechnology, proteomics and structural mass spectrometry.

A distributed infrastructure constituted by Core Facilities of CEITEC (Central European Institute of Technology), located in Brno, and BIOCEV (Biotechnology and Biomedicine Centre), located in Vestec near Prague, Central Bohemia.

Highlights of Coronavirus Structural Studies

Coronavirus Archive

Events

No upcoming events available yet.

Event calendar

Research Highlights

the best of science obtained using CIISB Core Facilities

Nature Chemical Biology 2021

Overall architecture of the giant E3 ligase HUWE1N.

a, Domain architecture of HUWE1N. ARM repeats 1–34 are numbered, with the four insertions indicated. The positions of human HUWE1 insertions, absent in HUWE1N, are shown in brackets. b, Crystal structure of HUWE1Nc, Crystal structure of HUWE1N shown in cartoon representation from four different views, using the same color coding as in a (catalytic Cys in red). A schematic cartoon illustrates the snake-like organization of the E3 ligase. d, Negative-stain EM analysis of CeHUWE1. The obtained EM density is shown from two viewpoints, with approximate dimensions indicated. e, Organization and increasing complexity of HUWE1.

Tim Clausen Research Group

Significance

HUWE1 is a universal quality-control E3 ligase that marks diverse client proteins for proteasomal degradation. Although the giant HECT enzyme is an essential component of the ubiquitin–proteasome system closely linked with severe human diseases, its molecular mechanism is little understood. Here, we present the crystal structure of NematocidaHUWE1, revealing how a single E3 enzyme has specificity for a multitude of unrelated substrates. The protein adopts a remarkable snake-like structure, where the C-terminal HECT domain heads an extended alpha-solenoid body that coils in on itself and houses various protein–protein interaction modules. Our integrative structural analysis shows that this ring structure is highly dynamic, enabling the flexible HECT domain to reach protein targets presented by the various acceptor sites. Together, our data demonstrate how HUWE1 is regulated by its unique structure, adapting a promiscuous E3 ligase to selectively target unassembled orphan proteins.

Grabarczyk, D.B., Petrova,O.A., Deszcz, L., Kurzbauer, R., Murphy, P., Ahel, J., Vogel, A., Gogova, R., Faas, V., Kordic, D., Schleiffer, A., Meinhart, A:, Imre, R., Lehner, A., Neuhold, J., Bader, G., Stolt-Bergner, P., Böttcher, J., Wolkerstorfer, B., Fischer, G.,  Grishkovskaya, I., Haselbach, D., Kessler,D., and Clausen T.: HUWE1 employs a giant substrate-binding ring to feed and regulate its HECT E3 domain, Nat. Chem. Biol. (2021) https://doi.org/10.1038/s41589-021-00831-5

PNAS 2021

Structure of virion of rhinovirus 14 contains resolved density corre- sponding to octanucleotides from its RNA genome. (A) Surface representa- tion of cryo-EM of reconstruction of virion of rhinovirus 14 with front half of the particle removed to show internal structure. Density corresponding to VP1 is shown in blue, VP2 in green, VP3 in red, VP4 in yellow, and RNA segments in pink. Borders of a selected icosahedral asymmetric unit are in- dicated with a dashed triangle and positions of selected twofold, threefold, and fivefold symmetry axes are represented by an oval, triangle, and pen- tagon, respectively. (Scale bar, 5 nm.) (B) Cartoon representation of icosa- hedral asymmetric unit of rhinovirus 14 viewed from the inside of the capsid. The color coding of individual virus components is the same as in A. Positions of twofold, threefold, and fivefold symmetry axes are represented by an oval, triangle, and pentagon, respectively. (C) Two RNA octanucleotides that interact with each other and with VP2 subunits. Protein and RNA coloring is the same as in A. The cryo-EM density of the RNA segments is shown as a pink semitransparent surface. RNA bases and side chains of Trp38 of VP2 are shown in stick representation, in orange, and indicated with black arrow- heads. The position of a twofold symmetry axis is indicated with an oval. (D) Detail of stacking interaction between Gua2 from RNA segment and Trp38 of VP2. The cryo-EM densities of RNA and protein are shown as semitrans- parent surfaces in pink and gray, respectively. (E) Interaction between N ter- minus of VP1 and genome. Capsid proteins are shown in cartoon representation with the same coloring as in A. Cryo-EM densities of individual proteins are shown as semitransparent surfaces colored according to the chain they belong to. The density of the RNA genome is shown in gray. The blue arrow indicates the contact between the N terminus of VP1 and the genome. The position of Thr17, the first modeled residue from the N terminus of VP1, is indicated.

Pavel Plevka Research Group

Significance

Most rhinoviruses, which are the leading cause of the common cold, utilize intercellular adhesion molecule-1 (ICAM-1) as a receptor to infect cells. To release their genomes, rhinoviruses convert to acti- vated particles that contain pores in the capsid, lack minor capsid protein VP4, and have an altered genome organization. The binding of rhinoviruses to ICAM-1 promotes virus activation; however, the molecular details of the process remain unknown. Here, we present the structures of virion of rhinovirus 14 and its complex with ICAM-1 determined to resolutions of 2.6 and 2.4 Å, respectively. The cryo- electron microscopy reconstruction of rhinovirus 14 virions contains the resolved density of octanucleotide segments from the RNA ge- nome that interact with VP2 subunits. We show that the binding of ICAM-1 to rhinovirus 14 is required to prime the virus for activation and genome release at acidic pH. Formation of the rhinovirus 14– ICAM-1 complex induces conformational changes to the rhinovirus 14 capsid, including translocation of the C termini of VP4 subunits, which become poised for release through pores that open in the capsids of activated particles. VP4 subunits with altered conforma- tion block the RNA–VP2 interactions and expose patches of posi- tively charged residues. The conformational changes to the capsid induce the redistribution of the virus genome by altering the capsid–RNA interactions. The restructuring of the rhinovirus 14 cap- sid and genome prepares the virions for conversion to activated particles. The high-resolution structure of rhinovirus 14 in complex with ICAM-1 explains how the binding of uncoating receptors en- ables enterovirus genome release.

Hrebik, D. ; Fuzik, T. ; Gondova, M. ; Smerdova, L. ; Adamopoulos, A. ; Sedo, O.; Zdrahal, Z., and Plevka, P.: ICAM-1 induced rearrangements of capsid and genome prime rhinovirus 14 for activation and uncoating, PNAS 2021 Vol. 118 No. 19 e2024251118, https://doi.org/10.1073/pnas.2024251118

 

More publications Research Highlights archive

Reader’s Corner

literature to read, science to follow

In this section, a distinct selection of six highly stimulating research publications and reviews published during past 6 months is presented. It is our hope that links to exciting science, which deserves attention of the structural biology community, will help you to locate gems in the steadily expanding jungle of scientific literature. You are welcome to point out to any paper you found interesting by sending a link or citation to readerscorner@ciisb.org. The section is being updated regularly.


 

20 Aug

Highly accurate protein structure prediction with AlphaFold (Nature)

Proteins are essential to life, and understanding their structure can facilitate a mechanistic understanding of their function. Through an enormous experimental effort, the structures of around 100,000 unique proteins have been determined, but this represents a small fraction of the billions of known protein sequences. Structural coverage is bottlenecked by the months to years of painstaking effort required to determine a single protein structure. Accurate computational approaches are needed to address this gap and to enable large-scale structural bioinformatics. Predicting the three-dimensional structure that a protein will adopt based solely on its amino acid sequence—the structure prediction component of the ‘protein folding problem’—has been an important open research problem for more than 50 years. Despite recent progress, existing methods fall far short of atomic accuracy, especially when no homologous structure is available. Here, John Jumper, Richard Evans, Demis Hassabis et. al.provide the first computational method that can regularly predict protein structures with atomic accuracy even in cases in which no similar structure is known. They validated an entirely redesigned version of our neural network-based model, AlphaFold, in the challenging 14th Critical Assessment of protein Structure Prediction (CASP14), demonstrating accuracy competitive with experimental structures in a majority of cases and greatly outperforming other methods. Underpinning the latest version of AlphaFold is a novel machine learning approach that incorporates physical and biological knowledge about protein structure, leveraging multi-sequence alignments, into the design of the deep learning algorithm.

Reader’s Corner Archive

Quote of September

“Extraordinary claims require extraordinary evidence.”

Carl Sagan

You are running an old browser version. We recommend updating your browser to its latest version.