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PeptimAIze: Revolutionazing Peptide Design through Multi-Property Optimization and Explainable AI

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PeptimAIze: Revolutionazing Peptide Design through Multi-Property Optimization and Explainable AI PeptimAIze aims to develop a deep learning model capable of generating therapeutic peptides for inhibiting protein-protein interactions (PPIs). Many PPIs are essential to key physiological and pathological processes, making these interactions ideal targets for selective intervention in several human diseases, including cancer and bacterial infections. However, the therapeutic potential of peptides is often limited by unfavorable physicochemical properties, such as low solubility and poor bioavailability. Current peptide discovery approaches are time- and resource-intensive, generating significant waste through iterative and labour-intensive screening of compound batches across multiple optimisation rounds to experimentally achieve the desired physicochemical properties. While deep learning and generative models have recently emerged for on-demand peptide design, most focus on a single aspect, typically binding affin

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recordType

award

status

SIGNED

region

EU

value

260347.92

unit

EUR