Date: 26 - 28 February 2024

Timezone: Brussels

Duration: 3D

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After four successful editions, the PhasAGE consortium is pleased to announce the fifth Training School on “Databases and computational tools in phase separation”.

The event will take place at a PhasAGE member institution, in Brussels (Belgium) and the lead organizer of the Training School is Prof. Peter Tompa.

Target competences in brief: For members of the PhasAGE consortium and the selected external participants, the target of this Training School is on applying computational methodologies to study liquid-liquid phase separation (LLPS) and aggregation using in silico tools, databases and other resources.

More detailed overview: Participants will receive multidisciplinary training to gain deeper insights and practical experience in applying databases, in silico resources and computational tools to query relevant biological data and analyze it in context. Using integrative methodologies for studying both structured and intrinsically disordered proteins, trainees will investigate the LLPS and aggregation propensities of wild-type and mutant proteins in physiology and disease. The program integrates practical sessions with lectures by leading experts in the field from within and beyond the organizing consortiums, while an additional dedicated slot is assigned to career development in and outside academia. The schedule allows for plenty of networking and socializing opportunities for trainees in coffee breaks, at lunch and during the social dinner.

Contact: Campus Etterbeek, Promotion room, D2.01

Keywords: protein structure, protein condensates, liquid-liquid phase separation, protein aggregation, disordered proteins, protein interactions, protein function, biological processes, databases, sequence-based prediction, computational biology, bioinformatics

Venue: Boulevard de la Plaine, Boulevard de la Plaine

City: Ixelles

Country: Belgium

Postcode: 1050

Organizer: VUB and VIB

Host institutions: VIB, VUB

Event types:

  • Workshops and courses

Cost basis: Free to all


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