DeepNOE: Leveraging deep learning for protein structure solving at ultra-high resolution on the basis of NMR measurements with exact nuclear Overhauser enhancement

Project description

Ultra-high resolution protein structure on the basis of NMR measurements

Fields of science

• natural sciences › computer and information sciences › data science
• natural sciences › biological sciences › biochemistry › biomolecules › proteins
• natural sciences › physical sciences › optics › spectroscopy › absorption spectroscopy
• natural sciences › computer and information sciences › artificial intelligence › machine learning › deep learning
• natural sciences › biological sciences › molecular biology › structural biology

Programme(s)

• H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme
• H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility

Topic(s)

• MSCA-IF-2019 - Individual Fellowships

Call for proposal

H2020-MSCA-IF-2019

See other projects for this call

Funding Scheme

MSCA-IF-EF-ST - Standard EF

Coordinator

EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH

Net EU contribution

€ 191 149,44

Address

Raemistrasse 101
8092 Zuerich
Switzerland

Region

Schweiz/Suisse/Svizzera › Zürich › Zürich

Activity type

Higher or Secondary Education Establishments

Links

Other funding

€ 0,00