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ProID

Financiado

Ultrafast Raman Technologies for Protein Identification and Sequencing

The human proteome is the whole set of protein that a human can potentially express. Most of the human proteome is known. However the proteome, being the set of proteins potentially expressed, does not give information regarding t... ver más

31/10/2024

IIT

3M€

Presupuesto del proyecto: 3M€

Líder del proyecto

FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

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Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2024-10-31

FETOPEN-01-2018-2019-2020: FET-Open Challenging Current Thinki...

I+D

Cerrada hace 6 años

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10 Participantes

IIT

916.03K€ | Lider

HISPANAS ENERGIA SOLARES

499.83K€ | Participante

uni.lu

598.70K€ | Participante

KIT

306.25K€ | Participante

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Duración del proyecto: 45 meses Fecha Inicio: 2021-01-22
Fecha Fin: 2024-10-31

Líder del proyecto

FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 3M€

Descripción del proyecto The human proteome is the whole set of protein that a human can potentially express. Most of the human proteome is known. However the proteome, being the set of proteins potentially expressed, does not give information regarding the protein really expressed in a specific person or a patient. The possibility of accessing to this fundamental information through a cost and time effective technique will revolutionize our ability to prevent, diagnose and treat most of the human diseases. This is the commitment of ProID that aims to provide a technological platform able to record single protein Raman spectra with single amino-acid resolution. Namely, by reading the sequence of selected amino-acids along the protein chain, the platform will identify the corresponding protein. To reach this goal we want to combine advanced nanofabrications of plasmonic nanopores with ultrafast time resolved photon detectors and machine learning algorithms. More in details: i) plasmonic nanopores will be exploited to achieve single amino-acid optical excitation and enhanced Raman stimulation; ii) ultrafast and ultrasensitive Raman spectrometers will be obtained by combining the emerging technologies of SPAD (Single Photon Avalanche Diode) arrays with dedicated otpica elements which improve the sensitivity and the speed of the detector, and reduce the number of elements of the array necessary to sample a Raman spectrum; iii) bioinformatics approaches will complete the technological platform by developing specific software for discriminating the Raman spectra of proteins with reduced spectral points. Also, insightful experiments on electrophoretic translocation and augmented fluid viscosity in ultra-confined systems will contribute the molecular motion into the nanopores. Finally, to state of the art in-silico design will support the project by contributing to system optimization and data analyses/interpretation.

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