SOURCE-LINKED INTELLIGENCE

Massive parallel de novo design of sensing nanopores

CORDIS · observation · Publication date unknown

d structures not sampled by nature because of constraints associated with biogenesis and with the composition of biomembranes. We propose a combination of massive parallel de novo design and adaptive machine learning to explore this unknown TMB space, to gain crucial insight into the determinants of TMB folding and to develop robust design methods. As a proof-of-concept, PoreMADNeSS will focus on the design of steroid sensing nanopores. Our strategy is to design a cortisol binding site across the transmembrane channel, which would act as the reading head for single molecule fingerprinting. My lab was first to demonstrate the feasibility of TMB design and has established a design pipeline from computation to electrophysiology and biochemical characterization. This project has all the components to translate into transformative advances in nanopore sensing and sequencing by providing the nanopore R&D community with accurate and innovational computational design methodologies.

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recordType

award

status

SIGNED

region

EU

value

1499250

unit

EUR