SOURCE-LINKED INTELLIGENCE

Proteome diversification in evolution

CORDIS · observation · Publication date unknown

? PROMISE will leverage the tension between evolutionary divergence, gene duplication, and alternative splicing by combining massive high-throughput protein-related data integration and cutting-edge artificial intelligence techniques. It will bring a paradigm shift on assessing protein diversity and its impact on rewiring interaction networks in evolution. The expected results will provide efficient and scalable solutions to extract biological meaning from big data and transform it into interpretable and actionable models. This new knowledge will be transferable to a broad range of impactful societal issues, such as the inter-individual variability in disease susceptibility, the design of more specific drugs and more bio-compatible de novo proteins, or strategising human adaptation to climate change." protein evolution, alternative splicing, proteome diversity, representation learning, deep learning, bioinformatics, computational biology, genomics, transcriptomics, proteomics, molecular modelling, protein design, comparative biology, vocal learning

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recordType

award

status

SIGNED

region

EU

value

1952762.5

unit

EUR