TSTadej Satler

Tadej Satler

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


Tadej Satler has a total of 31 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Open Access

    De-novo design of a random protein walker

    by Liza Ulčakar, Hao Shen, Eva Rajh, Tadej Satler, Federico Olivieri, Joseph Watson, Yang Hsia, Justin Decarreau, Eric Lynch, Justin Kollman, et al.

    Molecular machines hold great potential. Design of static monomeric and oligomeric protein structures has advanced tremendously, but few dynamic protein systems have been designed. Here we present the design and characterization of a random protein walker that diffuses along a designed protein track. For the track, we designed micro-meter long fibres and developed a method to rigidly decorate them with arbitrary proteins. The walkers consist of homo-oligomers that reversibly bind the track using heterodimeric feet; we tested multiple heterodimer interfaces for reversibility and designed six walkers with different numbers of feet. Cryo-EM experiments confirmed the structure of the track and walkers. We performed detailed single molecule tracking and kinetics characterisation and found that the walkers with more feet diffuse along the track faster. The system represents a tuneable starting point for future powered protein molecular robots.


  • Open Access

    Recognizing amino acid sidechains in a medium resolution cryo-electron density map

    by Dibyendu Mondal, Vipul Kumar, Tadej Satler, Rakesh Ramachandran, Daniel Saltzberg, Ilan Chemmama, Kala Pilla, Ignacia Echeverria, Benjamin Webb, Meghna Gupta, et al.

    Building an accurate atomic structure model of a protein into a cryo-electron microscopy (cryo-EM) map at worse than 3 Å resolution is difficult. To facilitate this task, we devised a method for assigning the amino acid residue sequence to the backbone fragments traced in an input cryo-EM map (EMSequenceFinder). EMSequenceFinder relies on a Bayesian scoring function for ranking 20 standard amino acid residue types at a given backbone position, based on the fit to a density map, map resolution, and secondary structure propensity. The fit to a density is quantified by a convolutional neural network that was trained on ∼5.56 million amino acid residue densities extracted from cryo-EM maps at 3-10 Å resolution and corresponding atomic structure models deposited in the Electron Microscopy Data Bank (EMDB). We benchmarked EMSequenceFinder by predicting the sequences of 58,044 distinct L-helix and β-strand fragments, given the fragment backbone coordinates fitted in their density maps. EMSequenceFinder identifies the correct sequence as the best-scoring sequence in 77.8% of these cases. We also assessed EMSequenceFinder on separate datasets of cryo-EM maps at resolutions from 4 to 6 L. The accuracy of EMSequenceFinder (63.5%) was better than that of three tested state-of-the-art methods, including findMysequence (45%), ModelAngelo (27%), and sequence_from_map in Phenix (12.9%). We further illustrate EMSequenceFinder by threading the SARS-CoV-2 NSP2 sequence into eight cryo-EM maps at resolutions from 3.7 to 7.0 Å. EMSequenceFinder is implemented in our open-source Integrative Modeling Platform (IMP) program. Thus, it is expected to be helpful for integrative structure modeling based on a cryo-EM map and other information, such as models of protein complex components and chemical crosslinks between them. EMSequenceFinder is available as part of our open source IMP distribution at https://integrativemodeling.org/.

  • Open Access

    Cryo-EM micrographs of engineered encapsulin P3P4

    by Satler T, Jerala R

    EMPIAR, the Electron Microscopy Public Image Archive centered at EMBL-EBI, is a public resource for raw electron microscopy images related to EMDB, contains micrographs, particle sets and tilt-series.


  • Open Access

    Crystal Structure of de Novo Designed Coiled-Coil Protein Origami Triangle

    by Tadej Satler, San Hadži, Roman Jerala

    Coiled-coil protein origami (CCPO) uses modular coiled-coil building blocks and topological principles to design polyhedral structures distinct from those of natural globular proteins. While the CCPO strategy has proven successful in designing diverse protein topologies, no high-resolution structural information has been available about these novel protein folds. Here we report the crystal structure of a single-chain CCPO in the shape of a triangle. While neither cyclization nor the addition of nanobodies enabled crystallization, it was ultimately facilitated by the inclusion of a GCN2 homodimer. Triangle edges are formed by the orthogonal parallel coiled-coil dimers P1:P2, P3:P4, and GCN2 connected by short linkers. A triangle has a large central cavity and is additionally stabilized by side-chain interactions between neighboring segments at each vertex. The crystal lattice is densely packed and stabilized by a large number of contacts between triangles. Interestingly, the polypeptide chain folds into a trefoil-type protein knot topology, and AlphaFold2 fails to predict the correct fold. The structure validates the modular CC-based protein design strategy, providing molecular insight underlying CCPO stabilization and new opportunities for the design.


  • Open Access

    A nanobody toolbox targeting dimeric coiled-coil modules for functionalization of designed protein origami structures

    by Andreja Majerle, San Hadži, Jana Aupič, Tadej Satler, Fabio Lapenta, Žiga Strmšek, Jurij Lah, Remy Loris, Roman Jerala

    Significance: Coiled-coil dimers are structural motifs which occur frequently in natural proteins. They consist of two α-helices which wind around each other to form a supercoil and can be used as versatile modules for the construction of designed proteins. Here, nanobodies generated against the coiled-coil protein origami tetrahedral cage exhibit binding of one to four nanobodies per coiled-coil dimer in the tetrahedron and also in other types of protein origami structures. High-resolution structures of nanobodies bound to coiled-coil dimers revealed the range of binding motifs, including a positive allosteric binding to the tetrahedron and to the isolated coiled-coil dimeric module, introducing nanobodies as building modules in the protein assembly design.