Fail Fast
Financiado
Finding and Assessing proteIn nano crystaLs a Fail fAst STory
High-resolution protein structures obtained by X-ray diffraction require the production of well-ordered proteins crystals of high quality. However, to produce well-ordered protein crystals, several bottlenecks must be addressed to...
High-resolution protein structures obtained by X-ray diffraction require the production of well-ordered proteins crystals of high quality. However, to produce well-ordered protein crystals, several bottlenecks must be addressed to screen and optimize the thousands of conditions that can lead to crystallization. In this project, we will accelerate the process of protein crystallization by detecting early, i.e., assessing nano-crystal formation and providing immediate feedback, instead of waiting for crystals to grow, thereby saving time and money. We will use nonlinear light scattering that is highly sensitive to crystal formation. In combination with machine learning analysis, we will develop optimization routines to predict the conditions that likely lead to crystallization in a very short time scale, hours, instead of weeks.
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Duración del proyecto: 25 meses
Fecha Inicio: 2020-05-05
Fecha Fin: 2022-06-30
Fecha Fin: 2022-06-30
Línea de financiación: concedida
El organismo H2020 notifico la concesión del proyecto el día 2022-06-30
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
ERC-2020-POC:
Call for proposals for ERC Proof of Concept Grant
Cerrada
hace 4 años
Presupuesto
El presupuesto total del proyecto asciende a
150K€
Líder del proyecto
ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico
TRL
4-5
Perfil tecnológico
TRL
4-5
1.20M€ |
Participante