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Research Group

Detalle de: Computational Biology (IMDEA)

Title Computational Biology (IMDEA)
Description

Our group aims to apply integrative computational analyses and to develop bioinformatics resources to study the nutrition-disease interactions through molecular variability responses. Complex analytical strategies are key for understanding the relationships between food, genes, environment and diseases and to develop precision nutrition strategies based on individual molecular background. The group is currently focused on four topics:

1. Metabolic Variability to study the complex molecular relationships between food/diet bioactive compounds and drugs interactions from structured and unstructured resources.

2. Bioinformatic tools development to integrate and facilitate the analysis, visualization and interpretation of complex, heterogeneous and disperse molecular food datasets.

3. Microbiome-Host interaction for characterizing the microbiome disruption in complex diseases like colorectal cancer or celiac disease and study the effects of food bioactive compounds in microbiome modulation for a healthy gut and precision nutrition strategies.

4. Citizen Science bringing the science and knowledge generated in our group closer to the people.

Home Page https://imdeafoodcompubio.com/index.php/the-new-umoma-opens-its-doors-2/
Contact Email enrique.carrillo@imdea.org
Collaborating Companies
Spin Off
Patents
Hpc Resources
Institution IMDEA Food
Ontology Omics, Computational Methods, Resources, Data Analysis, Artificial Intelligence, Machine Learning in Biology, Applications of Computational Biology, Functional genomics, Bioinformatics Infrastructure, Biological Databases, Personal medicine, Systems Biology, Integrative Analysis, Data Repositories, Pathway analysis, Metabolomics, Network Biology, Biological interpretation, Microbial communities, Metagenomics, Text mining, Natural Language Processing (NLP), Deep Learning in Biology, Clinical data
Tools
Service Units
Research Lines Interacciones hospedador-microbiota, Understanding human metabolic variability through computational and bioinformatic methods for precision nutrition, Investigating host–microbiota interactions in complex diseases through systems biology, network analysis, and advanced in vitro models, Promoting citizen science to bridge scientific research and society through participatory and educational initiatives
Funded Projects Food Nutrition Security Cloud (FNS-Cloud) (DT-SFS-26-2019)., NUTRIclock: a tool based on microbiome and artificial intelligence for implementing precision nutrition, Picture your microbes: A co-creation participatory action to empower citizens on nutritional health decisions (PoC47)., Gut Finder, an AI-based technology for Healthy Aging (CIVP21S13338), Inteligencia Artificial para la Prevención de Enfermedades Crónicas a través de una Nutrición Personalizada (AI4FOOD-CM Y2020/TCS-6654), High-throughput screening platform for precision nutrition in Non-Responsive Celiac Disease through 3D organ models and systems biology” (CD3DTech-CM TEC-2024/BIO-167)
Selected Publications
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Researchers Enrique Carrillo de Santa Pau

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