Learning to Design Sweet Renewable Hydrogels - Development of Experimental Protocols and Deep Learning Models to Decode Complex Structure-Function Relatioships

Project Information

Sweet2Gel

Grant agreement ID: 101064251

DOI

10.3030/101064251

Project closed

EC signature date 17 May 2022

Start date 16 May 2022

End date 15 June 2024

Funded under

• Marie Skłodowska-Curie Actions (MSCA)

Total cost

No data

EU contribution

€ 181 152,96

Coordinated by

AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGACIONES CIENTIFICAS
Spain

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Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Documents, reports (1)

Communication, Dissemination & Outreach Plan

The plan describes the planned measures to maximize the impact of the project, including the dissemination and exploitation measures that are planned, and the target group(s) addressed. Regarding communication measures and public engagement strategy, the aim is to inform and reach out to society and show the activities performed, and the use and the benefits the project will have for citizens.

Data Management Plan (1)

Data Management Plan

The Data Management Plan describes the data management life cycle for all data sets that will be collected, processed or generated by the action. It is a document describing what data will be collected, processed or generated and following what methodology and standards, whether and how this data will be shared and/or made open, and how it will be curated and preserved

Publications

Peer reviewed articles (2)

Fast Quantitative Validation of 3D Models of Low-Affinity Protein–Ligand Complexes by STD NMR Spectroscopy

Author(s): Ridvan Nepravishta, Jonathan Ramírez-Cárdenas, Gabriel Rocha, Samuel Walpole, Thomas Hicks, Serena Monaco, Juan C. Muñoz-García, Jesús Angulo
Published in: Journal of Medicinal Chemistry, 2024, ISSN 1520-4804
Publisher: American Chemical Society
DOI: 10.1021/acs.jmedchem.4c00204

Speeding-up the Determination of Protein–Ligand Affinities by STD NMR: The Reduced Data Set STD NMR Approach (rd-STD NMR)

Author(s): Gabriel Rocha, Jonathan Ramírez-Cárdenas, M. Carmen Padilla-Pérez, Samuel Walpole, Ridvan Nepravishta, M. Isabel García-Moreno, Elena M. Sánchez-Fernández, Carmen Ortiz Mellet, Jesús Angulo*, and Juan C. Muñoz-García*
Published in: Analytical Chemistry, ISSN 1520-6882
Publisher: American Chemical Society
DOI: 10.1021/ACS.ANALCHEM.3C03980