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0576534 - ÚOCHB 2024 RIV US eng J - Journal Article
Kouba, P. - Kohout, P. - Haddadi, F. - Bushuiev, A. - Samusevich, Raman - Sedlář, J. - Damborský, J. - Pluskal, Tomáš - Sivič, J. - Mazurenko, S.
Machine Learning-Guided Protein Engineering.
ACS Catalysis. Roč. 13, č. 21 (2023), s. 13863-13895. ISSN 2155-5435. E-ISSN 2155-5435
R&D Projects: GA ČR(CZ) GM21-11563M; GA MŠMT(CZ) LM2023055; GA MŠMT LX22NPO5102
EU Projects: European Commission(XE) 891397 - KavaTarget
Research Infrastructure: RECETOX RI II - 90269
Institutional support: RVO:61388963
Keywords : activity * artificial intelligence * biocatalysis * deep learning * protein design
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 12.9, year: 2022
Method of publishing: Open access
https://doi.org/10.1021/acscatal.3c02743
Permanent Link: https://hdl.handle.net/11104/0346095