ArticlebioRxiv : the preprint server for biology2023
Small-molecule binding and sensing with a designed protein family.
Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Protein Design Meets Single-Molecule Detection: Towards Programmable Nanopore Sensors.International journal of molecular sciences · 2025Review
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Authors and funding
19 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite transformative advances in protein design with deep learning, the design of small-molecule-binding proteins and sensors for arbitrary ligands remains a grand challenge. Here we combine deep learning and physics-based methods to generate a family of proteins with diverse and designable pocket geometries, which we employ to computationally design binders for six chemically and structurally distinct small-molecule targets. Biophysical characterization of the designed binders revealed nanomolar to low micromolar binding affinities and atomic-level design accuracy. The bound ligands are exposed at one edge of the binding pocket, enabling the
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Registered trials
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