Protein Fingerprinting With A Binary Alphabet

Sampath, G.

doi:10.1101/119313

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bioRxiv · 10.1101/119313

Protein Fingerprinting With A Binary Alphabet

Sampath, G.

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Abstract

Abstract.If protein sequences are recoded with a binary alphabet derived from a division of the 20 amino acids into two subsets, a protein can be identified from its subsequences by searching through a recoded sequence database. A binary-coded primary sequence can be obtained for an unbroken protein molecule from current blockades in a nanopore. Only two (instead of 20) blockade levels need to be recognized to identify a residues subset; a hard or soft detector can do this with two current thresholds. Computations were done on the complete proteome of Helicobacter pylori (http://www.uniprot.org; database id UP000000210, 1553 sequences) using a binary alphabet based on published data for residue volumes in the range [~]0.06 nm3 to [~]0.225 nm3. Assuming normally distributed volumes, more than 93% of binary subsequences of length 20 from the primary sequences of H. pylori are correct with a confidence level of 90-95%; they can uniquely identify over 98% of the proteins. Recently published work shows that a 0.7 nm diameter nanopore can measure residue volume with a resolution of [~]0.07 nm3; this makes the procedure described here both feasible and practical. This is a non-destructive single-molecule method without the vagaries of proteolysis.

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Sampath, G.. 2017-03-22. Protein Fingerprinting With A Binary Alphabet. https://doi.org/10.1101/119313

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