Learning deep representations of enzyme thermal adaptation.

Autor: Li G; Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden., Buric F; Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden., Zrimec J; Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden.; Department of Biotechnology and Systems Biology, National Institute of Biology, Ljubljana, Slovenia., Viknander S; Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden., Nielsen J; Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden.; BioInnovation Institute, Copenhagen N, Denmark., Zelezniak A; Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden.; Life Sciences Centre, Institute of Biotechnology, Vilnius University, Vilnius, Lithuania.; Randall Centre for Cell & Molecular Biophysics, King's College London, New Hunt's House, Guy's Campus, SE1 1UL, London, UK., Engqvist MKM; Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden.; Enginzyme AB, Stockholm, Sweden.

Publikováno v: Protein science : a publication of the Protein Society [Protein Sci] 2022 Dec; Vol. 31 (12), pp. e4480.

Learning the Regulatory Code of Gene Expression.

Autor: Zrimec J; Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden., Buric F; Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden., Kokina M; Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden.; Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby, Denmark., Garcia V; School of Life Sciences and Facility Management, Zurich University of Applied Sciences, Wädenswil, Switzerland., Zelezniak A; Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden.; Science for Life Laboratory, Stockholm, Sweden.

Publikováno v: Frontiers in molecular biosciences [Front Mol Biosci] 2021 Jun 10; Vol. 8, pp. 673363. Date of Electronic Publication: 2021 Jun 10 (Print Publication: 2021).

Deep learning suggests that gene expression is encoded in all parts of a co-evolving interacting gene regulatory structure.

Autor: Zrimec J; Department of Biology and Biological Engineering, Chalmers University of Technology, Kemivägen 10, SE-412 96, Gothenburg, Sweden., Börlin CS; Department of Biology and Biological Engineering, Chalmers University of Technology, Kemivägen 10, SE-412 96, Gothenburg, Sweden.; Novo Nordisk Foundation Center for Biosustainability, Chalmers University of Technology, Kemivägen 10, SE-412 96, Gothenburg, Sweden., Buric F; Department of Biology and Biological Engineering, Chalmers University of Technology, Kemivägen 10, SE-412 96, Gothenburg, Sweden., Muhammad AS; Computer Science and Engineering, Chalmers University of Technology, Kemivägen 10, SE-412 96, Gothenburg, Sweden., Chen R; Computer Science and Engineering, Chalmers University of Technology, Kemivägen 10, SE-412 96, Gothenburg, Sweden., Siewers V; Department of Biology and Biological Engineering, Chalmers University of Technology, Kemivägen 10, SE-412 96, Gothenburg, Sweden.; Novo Nordisk Foundation Center for Biosustainability, Chalmers University of Technology, Kemivägen 10, SE-412 96, Gothenburg, Sweden., Verendel V; Computer Science and Engineering, Chalmers University of Technology, Kemivägen 10, SE-412 96, Gothenburg, Sweden., Nielsen J; Department of Biology and Biological Engineering, Chalmers University of Technology, Kemivägen 10, SE-412 96, Gothenburg, Sweden.; Novo Nordisk Foundation Center for Biosustainability, Chalmers University of Technology, Kemivägen 10, SE-412 96, Gothenburg, Sweden., Töpel M; Department of Marine Sciences, University of Gothenburg, Box 461, SE-405 30, Gothenburg, Sweden.; Gothenburg Global Biodiversity Center (GGBC), Box 461, 40530, Gothenburg, Sweden., Zelezniak A; Department of Biology and Biological Engineering, Chalmers University of Technology, Kemivägen 10, SE-412 96, Gothenburg, Sweden. aleksej.zelezniak@chalmers.se.; Science for Life Laboratory, Tomtebodavägen 23a, SE-171 65, Stockholm, Sweden. aleksej.zelezniak@chalmers.se.

Publikováno v: Nature communications [Nat Commun] 2020 Dec 01; Vol. 11 (1), pp. 6141. Date of Electronic Publication: 2020 Dec 01.

Trap for polarized atoms based on light-induced drift

Autor: Hradecn C, Buric F, T. Tethal, I.M. Yermolayev, J. Slovak

Publikováno v: Physical Review A. 54:3250-3253

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ec9a4484e76014c242cdb8709965978
https://doi.org/10.1103/physreva.54.3250

DeepEnzyme: a robust deep learning model for improved enzyme turnover number prediction by utilizing features of protein 3D-structures.

Autor: Wang, Tong^1,2 (AUTHOR), Xiang, Guangming¹ (AUTHOR), He, Siwei¹ (AUTHOR), Su, Liyun² (AUTHOR), Wang, Yuguang^3,4 (AUTHOR), Yan, Xuefeng^5,6 (AUTHOR), Lu, Hongzhong¹ (AUTHOR) hongzhonglu@sjtu.edu.cn

Publikováno v: Briefings in Bioinformatics. Sep2024, Vol. 25 Issue 5, p1-10. 10p.