bioRxivBioinformaticsPreprint
nanoFOLD : sequence design of nanobodies via inverse folding
Dawid ChomicziD, Bartosz JanusziD, Sonia WrobeliD, Paweł DudziciD, Adithya PolasaiD, Kyle MartiniD, Steven J. Darnell, Stephen R. ComeauiD, Konrad KrawczykiD
Abstract
Antibodies devoid of light chains are a promising class of biotherapeutics. Computational methods that address these molecules are crucially needed to accelerate the traditional, long and expensive experimental process of their discovery. Inverse folding, wherein one is tasked to predict a sequence given molecular coordinates, is an established method in scaffold-based protein design. Here we develop an inverse folding method speci[fi]c to nanobodies. We demonstrate its application in nanobody-engineering scenarios of enriching binders from next-generation sequencing experiments and novel binder design.
- assay: protein sequence
- research focus: protein design
- approach: deep learning
- approach: statistical model
- Citations
- 0
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