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Angelov, B.

Publications and source records attributed to Angelov, B..

3 recordsLinked to original sources

Demonstration of electron diffraction from membrane protein crystals grown in a lipidic mesophase after lamella preparation by focused ion beam milling at cryogenic temperatures

Electron crystallography of sub-micron sized 3D protein crystals has emerged recently as a valuable field of structural biology. In meso crystallization methods, utilizing lipidic mesophases, particularly lipidic cubic phases (LCPs), can produce high-quality 3D crystals of membrane proteins (MPs). A major step towards realising 3D electron crystallography of MP crystals, grown in meso, is to demonstrate electron diffraction from such crystals. The first task is to remove the viscous and sticky lipidic matrix, surrounding the crystals without damaging the crystals. Additionally, the crystals have to be thin enough to let electrons traverse them without significant multiple scattering. In the present work, we experimentally verified the concept that focused ion beam milling at cryogenic temperatures (cryo-FIB) can be used to remove excess host lipidic mesophase matrix, and then thin the crystals to a thickness suitable for electron diffraction. In this study, bacteriorhodopsin (BR) crystals grown in a lipidic mesophase of monoolein were used as a model system. LCP from a part of a 50-μm thick crystal, which was flash-frozen in liquid nitrogen, was milled away with a gallium FIB under cryogenic conditions, and a part of the crystal itself was thinned into a ∼210-nm thick lamella with the ion beam. The frozen sample was then transferred into an electron cryo-microscope (cryo-EM), and a nanovolume of ∼1400×1400×210 nm3 of the BR lamella was exposed to 200-kV electrons at a fluence of ∼0.06 e−/Å2. The resulting electron diffraction peaks were detected beyond 2.7-Å resolution (with mean signal-to-noise ratio <I/σ(I)> of >7) by a CMOS-based Ceta 16M camera. The results demonstrate, that cryo-FIB milling produces high quality lamellae from crystals grown in lipidic mesophases, and pave the way for 3D electron crystallography on crystals grown or embedded in highly viscous media.Synopsis Electron diffraction experiments on crystals of membrane proteins grown in lipidic mesophases have not been possible due to a thick layer of viscous crystallisation medium around the crystals. Here we show that focused ion beam milling at cryogenic temperatures (cryo-FIB milling) can remove the viscous layer, and demonstrate high-quality electron diffraction on a FIB-milled lamella of a bacteriorhodopsin 3D crystal.Competing Interest StatementThe authors have declared no competing interest.View Full Text

biophysics↗

species2vec: A novel method for species representation

Word embeddings are omnipresent in Natural Language Processing (NLP) tasks. The same technology which defines words by their context can also define biological species. This study showcases this new method - species embedding (species2vec). By proximity sorting of 6761594 mammal observations from the whole world (2862 different species), we are able to create a training corpus for the skip-gram model. The resulting species embeddings are tested in an environmental classification task. The classifier performance confirms the utility of those embeddings in preserving the relationships between species, and also being representative of species consortia in an environment.

ecology↗

Improving the interpretability of species distribution models by using local approximations

Species Distribution Models (SDMs) are used to generate maps of realised and potential ecological niches for a given species. As any other machine learning technique they can be seen as "black boxes", due to a lack of interpretability. Advances in other areas of applied machine learning can be applied to remedy this problem. In this study we test a new tool relying on Local Interpretable Model-agnostic Explanations (LIME) by comparing its results of other known methods and ecological interpretations from domain experts. The findings confirm that LIME provides consistent and ecologically sound explanations of climate feature importance during the training of SDMs, and that the sdmexplain R package can be used with confidence.

ecology↗