Objective
Protein-protein tridimensional (3D) structures are fundamental for structural biology and drug discovery. Many docking algorithms were developed for that purpose, but they have limited accuracy in generating native-like structures and identifying the most correct one, particularly in the case of membrane proteins such as G-protein Coupled Receptors (GPCRs). In order to deal with these complex systems and overcome the limitations of existing software, we will develop and optimize computational approaches and construct novel combinations of mature methodologies, to serve in the study of membrane proteins in general. In particularly, we will focus in: i) improving the search and scoring algorithms for the docking process of membrane proteins, ii) developing software to accurately predict the high-order oligomers interfacial residues, and iii) constructing a docking algorithm able to predict their 3D oligomeric structure. Our new approaches will be applied to a relevant biological system: the dopamine receptor type 2 (D2R), a typical member of Class A GPCRs involved in many cognitive, emotional and motor functions. D2R acts by ligand-dependent signalling through two major systems: the G-proteins, and the Arrestin proteins (Arr-s). How ligands determine the preference for one or the other is not yet understood at the molecular level, and this precludes both the characterization of pathway selectivity and the design of biased ligands. More importantly, the physiological relevance of oligomerization for this process is still topic of vigorous debate. Therefore, building on both my unique expertise and Prof. Bonvin well-known impact in methodological development, this project will yield novel methods and approaches to serve in the study of membrane protein systems and their functional mechanisms, benefiting the entire research field. It will also provide truly new fundamental knowledge and insights into the selectivity of D2R signalling.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences software
- natural sciences biological sciences biochemistry biomolecules proteins proteomics
- medical and health sciences basic medicine medicinal chemistry
- natural sciences computer and information sciences artificial intelligence machine learning
- natural sciences biological sciences molecular biology structural biology
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF-EF-ST - Standard EF
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2014
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
3584 CS Utrecht
Netherlands
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.