InstaNexus

post-processor · Sequence assembly

InstaNexus: post-processor · Sequence assembly. End-to-end workflow for reference-free sequencing of full-length protein therapeutics. Multi-protease digestion yields overlapping peptides, InstaNovo sequences them de…

End-to-end workflow for reference-free sequencing of full-length protein therapeutics. Multi-protease digestion yields overlapping peptides, InstaNovo sequences them de novo and Winnow rescores, then greedy overlap or de Bruijn graph assembly (default k=7, min overlap 3) reconstructs contigs ranked by a composite score over coverage, N50, scaffold count and identity. Validated on nanobodies, monoclonal antibodies and de novo mini-binders.

Kind post-processor
Deep learning no
Acquisition DDA
Family Sequence assembly

Code

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Data

What the papers describing this method trained it on and reported its results on, as each paper states it. A version is named only where the paper names one.

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Also used, purpose not recorded

Papers describing it (2)

Authors (15)

Marco Reverenna, Maike Wennekers Nielsen, Darian Stephan Wolff, Elpida Lytra, Pasquale D. Colaianni, Anne Ljungars, Andreas Hougaard Laustsen, Erwin M. Schoof, Jeroen Van Goey, Timothy P. Jenkins, Marie V. Lukassen, Alberto Santos, Konstantinos Kalogeropoulos, Jemma Daniel, Suthimon Thumtecho

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