%0 Journal Article %1 asgharzadeh2020nanofe %A Asgharzadeh, Pouyan %A Birkhold, I, Annette %A Trivedi, Zubin Mukundbhai %A Özdemir, Bugra %A Reski, Ralf %A Röhrle, Oliver %D 2020 %I Elsevier %J Computational and structural biotechnology journal %K oa ubs_10002 ubs_20002 ubs_30190 ubs_40393 unibibliografie wos %P 2774-2788 %R 10.1016/j.csbj.2020.09.024 %T A NanoFE simulation-based surrogate machine learning model to predict mechanical functionality of protein networks from live confocal imaging %V 18

@article{asgharzadeh2020nanofe, added-at = {2022-02-17T15:34:59.000+0100}, affiliation = {Asgharzadeh, P (Corresponding Author), Univ Stuttgart, Inst Modelling & Simulat Biomech Syst, Stuttgart, Germany. Asgharzadeh, Pouyan; Birkhold, Annette, I; Trivedi, Zubin; Roehrle, Oliver, Univ Stuttgart, Inst Modelling & Simulat Biomech Syst, Stuttgart, Germany. Asgharzadeh, Pouyan; Birkhold, Annette, I; Roehrle, Oliver, Stuttgart Ctr Simulat Sci SC SimTech, Stuttgart, Germany. Oezdemir, Bugra; Reski, Ralf, Univ Freiburg, Fac Biol, Plant Biotechnol, Freiburg, Germany. Oezdemir, Bugra; Reski, Ralf, Signalling Res Ctr BIOSS & CIBSS, Freiburg, Germany. Reski, Ralf, Cluster Excellence livMatS FIT Freiburg Ctr Inter, Freiburg, Germany.}, author = {Asgharzadeh, Pouyan and {Birkhold, I}, Annette and Trivedi, Zubin Mukundbhai and Özdemir, Bugra and Reski, Ralf and Röhrle, Oliver}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2221e1c489ed600c2c579b6f9d0fd0b76/unibiblio}, doi = {10.1016/j.csbj.2020.09.024}, interhash = {f110409ce9ea7912c152d4be9ff2619d}, intrahash = {221e1c489ed600c2c579b6f9d0fd0b76}, issn = {2001-0370}, journal = {Computational and structural biotechnology journal}, keywords = {oa ubs_10002 ubs_20002 ubs_30190 ubs_40393 unibibliografie wos}, language = {eng}, orcid-numbers = {Ozdemir, Bugra/0000-0001-9823-0581}, pages = {2774-2788}, publisher = {Elsevier}, research-areas = {Biochemistry & Molecular Biology; Biotechnology & Applied Microbiology}, timestamp = {2022-05-16T11:55:49.000+0200}, title = {A NanoFE simulation-based surrogate machine learning model to predict mechanical functionality of protein networks from live confocal imaging}, unique-id = {ISI:000607304000012}, volume = 18, year = 2020 }