| A new family of septuple-layer 2D materials of MoSi<sub>2</sub>N<sub>4</sub>-like crystals
Latychevskaia, T., Bandurin, D. A., & Novoselov, K. S. (2024). A new family of septuple-layer 2D materials of MoSi2N4-like crystals. Nature Reviews Physics, 6, 426-438. https://doi.org/10.1038/s42254-024-00728-x |
| Controlling drug partitioning in individual protein condensates through laser-induced microscale phase transitions
Leppert, A., Feng, J., Railaite, V., Bohn Pessatti, T., Cerrato, C. P., Mörman, C., … Landreh, M. (2024). Controlling drug partitioning in individual protein condensates through laser-induced microscale phase transitions. Journal of the American Chemical Society, 146(28), 19555-19565. https://doi.org/10.1021/jacs.4c06688 |
| Deep learning applications in protein crystallography
Matinyan, S., Filipcik, P., & Abrahams, J. P. (2024). Deep learning applications in protein crystallography. Acta Crystallographica Section A: Foundations and Advances, 80(1), 1-17. https://doi.org/10.1107/S2053273323009300 |
| DiffraGAN: a conditional generative adversarial network for phasing single molecule diffraction data to atomic resolution
Matinyan, S., Filipcik, P., van Genderen, E., & Abrahams, J. P. (2024). DiffraGAN: a conditional generative adversarial network for phasing single molecule diffraction data to atomic resolution. Frontiers in Molecular Biosciences, 11, 1386963 (11 pp.). https://doi.org/10.3389/fmolb.2024.1386963 |
| Self-adaptive synthesis of non-covalent crosslinkers while folding single-chain polymers
Qi, D., Shi, X., Lin, C., Holzhausen, F., Ville, L., Sun, X., … Li, J. (2024). Self-adaptive synthesis of non-covalent crosslinkers while folding single-chain polymers. Angewandte Chemie International Edition, e202408670 (9 pp.). https://doi.org/10.1002/anie.202408670 |
| Phase separation and aggregation of α-synuclein diverge at different salt conditions
Sternke-Hoffmann, R., Sun, X., Menzel, A., Pinto, M. D. S., Venclovaite, U., Wördehoff, M., … Luo, J. (2024). Phase separation and aggregation of α-synuclein diverge at different salt conditions. Advanced Science, 2308279 (15 pp.). https://doi.org/10.1002/advs.202308279 |
| Visualizing alpha-synuclein and iron deposition in M83 mouse model of Parkinson's disease in vivo
Straumann, N., Combes, B. F., Dean Ben, X. L., Sternke-Hoffmann, R., Gerez, J. A., Dias, I., … Ni, R. (2024). Visualizing alpha-synuclein and iron deposition in M83 mouse model of Parkinson's disease in vivo. Brain Pathology, e13288 (14 pp.). https://doi.org/10.1111/bpa.13288 |
| Electrostatic interference control of a high-energy coherent electron beam using a three-element Boersch phase shifter
Thakkar, P., Guzenko, V. A., Lu, P., Dunin-Borkowski, R. E., Abahams, J. P., & Tsujino, S. (2024). Electrostatic interference control of a high-energy coherent electron beam using a three-element Boersch phase shifter. Japanese Journal of Applied Physics. https://doi.org/10.35848/1347-4065/ad7341 |
| Double-slit holography—a single-shot lensless imaging technique
Wicki, F., & Latychevskaia, T. (2024). Double-slit holography—a single-shot lensless imaging technique. Scientific Reports, 14, 12528 (9 pp.). https://doi.org/10.1038/s41598-024-62785-7 |
| Channel activities of the full-length prion and truncated proteins
Wu, J., Wang, X., Lakkaraju, A., Sternke-Hoffmann, R., Qureshi, B. M., Aguzzi, A., & Luo, J. (2024). Channel activities of the full-length prion and truncated proteins. ACS Chemical Neuroscience, 15(1), 98-107. https://doi.org/10.1021/acschemneuro.3c00412 |
| Editorial: The biochemistry of amyloids in neurodegenerative diseases, volume II
Gomes, C. M., Hoyer, W., & Luo, J. (2023). Editorial: The biochemistry of amyloids in neurodegenerative diseases, volume II. Frontiers in Neuroscience, 17, 1236518 (2 pp.). https://doi.org/10.3389/fnins.2023.1236518 |
| Coherent imaging with low-energy electrons, quantitative analysis
Latychevskaia, T. (2023). Coherent imaging with low-energy electrons, quantitative analysis. Ultramicroscopy, 253, 113807 (10 pp.). https://doi.org/10.1016/j.ultramic.2023.113807 |
| Controlling topological states in bilayer graphene
Latychevskaia, T. (2023). Controlling topological states in bilayer graphene. Nature Nanotechnology, 18, 1126-1127. https://doi.org/10.1038/s41565-023-01454-8 |
| Potentials of individual atoms by convergent beam electron diffraction
Latychevskaia, T., Woods, C. R., Wang, Y. B., Holwill, M., Prestat, E., Mustafi, S., … Novoselov, K. S. (2023). Potentials of individual atoms by convergent beam electron diffraction. Carbon, 201, 244-250. https://doi.org/10.1016/j.carbon.2022.09.003 |
| Oligomer dynamics of LL-37 truncated fragments probed by <em>α</em>-hemolysin pore and molecular simulations
Liu, C., Henning-Knechtel, A., Österlund, N., Wu, J., Wang, G., Gräslund, R. A. O., … Luo, J. (2023). Oligomer dynamics of LL-37 truncated fragments probed by α-hemolysin pore and molecular simulations. Small, 19(37), 2206232 (11 pp.). https://doi.org/10.1002/smll.202206232 |
| Protein oligomer engineering: a new frontier for studying protein structure, function, and toxicity
Liu, C., & Luo, J. (2023). Protein oligomer engineering: a new frontier for studying protein structure, function, and toxicity. Angewandte Chemie International Edition, 62(23), e202216480 (12 pp.). https://doi.org/10.1002/anie.202216480 |
| Cross interactions between Apolipoprotein E and amyloid proteins in neurodegenerative diseases
Loch, R. A., Wang, H., Perálvarez-Marín, A., Berger, P., Nielsen, H., Chroni, A., & Luo, J. (2023). Cross interactions between Apolipoprotein E and amyloid proteins in neurodegenerative diseases. Computational and Structural Biotechnology Journal, 21, 1189-1204. https://doi.org/10.1016/j.csbj.2023.01.022 |
| Machine learning for classifying narrow-beam electron diffraction data
Matinyan, S., Demir, B., Filipcik, P., Abrahams, J. P., & van Genderen, E. (2023). Machine learning for classifying narrow-beam electron diffraction data. Acta Crystallographica Section A: Foundations and Advances, 79, 360-368. https://doi.org/10.1107/S2053273323004680 |
| TERSE/PROLIX (TRPX) - a new algorithm for fast and lossless compression and decompression of diffraction and cryo-EM data
Matinyan, S., & Abrahams, J. P. (2023). TERSE/PROLIX (TRPX) - a new algorithm for fast and lossless compression and decompression of diffraction and cryo-EM data. Acta Crystallographica Section A: Foundations and Advances, 79(6), 536-541. https://doi.org/10.1107/S205327332300760X |
| Fourier transform holography: a lensless imaging technique, its principles and applications
Mustafi, S., & Latychevskaia, T. (2023). Fourier transform holography: a lensless imaging technique, its principles and applications. Photonics, 10(2), 153 (28 pp.). https://doi.org/10.3390/photonics10020153 |
