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PID2019-106960GB-I00

Financiado

HACIA LA INTELIGENCIA ARTIFICIAL IN VIVO: PROGRAMACION DE FARMACOS MULTICELULARE...

HACIA LA INTELIGENCIA ARTIFICIAL IN VIVO: PROGRAMACION DE FARMACOS MULTICELULARES VIVOS INTELIGENTES TO ACHIEVE OUR VISION (AI IN VIVO) WE PLAN TO PURSUE 2 OBJECTIVES DURING THIS PROJECT: 1, REVERSE-ENGINEER COMPLEX MICROBIAL NATURAL CONSORTIA, 2, FORWARD-ENGINEER COMPLEX MICROBIAL PROGRAMMABLE CONSORTIA, THIS MEANS THAT WE WILL... ver más

01/01/2019

UPM

87K€

Presupuesto del proyecto: 87K€

Líder del proyecto

UNIVERSIDAD POLITÉCNICA DE MADRID No se ha especificado una descripción o un objeto social para esta compañía.

Total investigadores 3946

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo AGENCIA ESTATAL DE INVESTIGACIÓN notifico la concesión del proyecto el día 2019-01-01 No tenemos la información de la convocatoria

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UPM

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Líder del proyecto

UNIVERSIDAD POLITÉCNICA DE MADRID No se ha especificado una descripción o un objeto social para esta compañía.

Total investigadores 3946

Presupuesto del proyecto 87K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto TO ACHIEVE OUR VISION (AI IN VIVO) WE PLAN TO PURSUE 2 OBJECTIVES DURING THIS PROJECT: 1, REVERSE-ENGINEER COMPLEX MICROBIAL NATURAL CONSORTIA, 2, FORWARD-ENGINEER COMPLEX MICROBIAL PROGRAMMABLE CONSORTIA, THIS MEANS THAT WE WILL DEVELOP AN IN SILICO MICROBIOTA (OBJECTIVE 1) THAT WILL HELP US TO RATIONAL DESIGN AND PROGRAM A MULTICELL ASSOCIATE MEMORY (OBJECTIVE 2), MORE IN DETAIL, THIS PROJECT HAS 2 MAIN OBJECTIVES, OBJECTIVE 1: REVERSE-ENGINEER COMPLEX MICROBIAL NATURAL CONSORTIA, DEVELOP THE BACTERIAL MULTICELL SIMULATOR GRO ADDING THE NEEDED FEATURES TO SIMULATE THE INTERACTIONS BETWEEN MICROBIAL CELLS IN COMPLEX COMMUNITIES, GRO WILL BECOME AN IN SILICO MICROBIOTA ABLE TO ANSWER WHAT IF? IN SILICO QUESTIONS,AMONG THE FEATURES THAT WE WILL ADD TO THE SIMULATOR GRO ARE: 1, OBJECTIVE 1,1, METABOLIC ARTIFICIAL NEURAL NETWORK IN SILICO, A METABOLIC MODULE (BASED ON DEEP LEARNING) ABLE TO APPROXIMATE THE METABOLISM OF A MULTICELL CONSORTIA IN A FAST AND ACCURATE WAY, 2, OBJECTIVE 1,2, CELL-CELL COMMUNICATION MODULE, A MODULE TO SIMULATE CELL-CELL COMMUNICATION BASED ON PLASMID TRANSMISSION BY CONJUGATION AND QUORUM SENSING, 3, OBJECTIVE 1,3, GENETIC MODULE, IMPROVEMENT OF THE GENETIC MODULE OF GRO ADDING: A, A MORE PRECISE AND REALISTIC MANAGEMENT OF NOISE AND STOCHASTICITY ASSOCIATED TO GENE EXPRESSION REGULATION AND CELL-TO-CELL VARIABILITY, B, THE SIMULATION OF RNA CIRCUITS (RIBOSWITCHES AND TOEHOLD-RNA SWITCHED) WITHIN MICROBIAL CELLS IN GRO,4, OBJECTIVE 1,4, OUTPUT MODULE, IMPROVE THE GRAPHICAL OUTPUT OF GRO TO ALLOW ZOOM IN/OUT AND VIDEO GENERATION AND REAL-TIME ANALYSIS OF THE MICROBIAL CONSORTIA IMAGES, 5, OBJECTIVE 1,5, PHYSICS-DEEPLEARNING MODULE, DEVELOP A DEEP LEARNING MODULE ABLE TO PREDICT THE SPATIO-TEMPORAL EVOLUTION OF A BACTERIAL COLONY FROM A SEQUENCE OF IMAGES, OBJECTIVE 2: FORWARD-ENGINEER COMPLEX MICROBIAL PROGRAMMABLE CONSORTIA, DESIGN, MODEL AND SIMULATE MULTICELL MICROBIAL PROGRAMMABLE CONSORTIA,1) OBJECTIVE 2,1, DNA/RNA CIRCUITS WITH MEMORY, OUR MICROBIAL CELLS NEED MEMORY TO RECORD ENVIRONMENTAL SIGNALS, FOR THE INTRACELLULAR MEMORIES, WE WILL ENGINEER USING DNA/RNA SIGNALS: I, SEQUENTIAL CIRCUITS: FLIP-FLOPS, ROM AND CRISPR-BASED TURING MACHINES, II, ROM MEMORIES WILL BE ENGINEER WITH PLA CIRCUITS,III, SENTINEL BACTERIA WITH MEMORY, 2) OBJECTIVE 2,2, MULTICELL BUILDING BLOCKS, DESIGN, PROGRAM, MODEL AND ANALYSE THE STABILITY, SPATIAL AND DYNAMIC PROPERTIES OF BASIC MULTICELL MOTIFS WITH 2, 3 AND 4 MICROBES, 1) OBJECTIVE 2,3, ARTIFICIAL INTELLIGENCE IN VIVO, DESIGN AND PROGRAM SYNTHETIC MICROBIAL CONSORTIA ABLE TO LEARN AND TO ADAPT THAT BEHAVES AS: A, A MULTICELL ASSOCIATIVE MEMORY ABLE TO STORE AND RECORD PATTERN OF INPUT SIGNALS FROM THE ENVIRONMENT, PROCESS IT AND REACT TO ACCORDINGLY, B, A METABOLIC MULTICELLULAR NEURAL NETWORK IN VIVO: A PROGRAMMED MICROBIAL CONSORTIA THAT IS ABLE TO LEARN TO CLASSIFY PATTERS OF METABOLIC INPUT SIGNALS, C, SMART SENTINELS BACTERIA WITH MEMORY COOPERATING TO DO COMPLEX DIAGNOSTICS AND ABLE TO DELIVER DRUGS IN A MORE PRECISE WAY,OBJECTIVE 1 (THE DEVELOPMENT OF THE SIMULATOR) IS NEEDED TO ACHIEVE OBJECTIVE 2 AND ALSO TO HELP MICROBIOLOGISTS AND PHYSICIANS TO REVERSE-ENGINEER THE MICROBIOTA OR FORWARD-ENGINEER PROBIOTICS, WE NEED THE MULTICELL MICROBIAL SIMULATOR TO PROTOTYPE, ANALYSE AND PREDICT THE BEHAVIOR OF THE DIFFERENT MICROBIAL CONSORTIA DESIGNED DURING OBJECTIVE 2, COMPUTACION CELULAR\INTELIGENCIA ARTIFICIAL\BIOLOGIA SINTETICA\COMPUTACION CON ADN\BIOLOGIA DE SISTEMAS\MICROBIOTA

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