{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/single-molecule-protein-identification-by-sub","title":"Single-Molecule Protein Identification by Sub-Nanopore Sensors","arxiv_id":"1604.02270","date":"2016-04-08","proceeding":null,"authors":["Mikhail Kolmogorov","Eamonn Kennedy","Zhuxin Dong","Gregory Timp","Pavel Pevzner"],"abstract":"Recent advances in top-down mass spectrometry enabled identification of\nintact proteins, but this technology still faces challenges. For example,\ntop-down mass spectrometry suffers from a lack of sensitivity since the ion\ncounts for a single fragmentation event are often low. In contrast, nanopore\ntechnology is exquisitely sensitive to single intact molecules, but it has only\nbeen successfully applied to DNA sequencing, so far. Here, we explore the\npotential of sub-nanopores for single-molecule protein identification (SMPI)\nand describe an algorithm for identification of the electrical current blockade\nsignal (nanospectrum) resulting from the translocation of a denaturated,\nlinearly charged protein through a sub-nanopore. The analysis of identification\np-values suggests that the current technology is already sufficient for\nmatching nanospectra against small protein databases, e.g., protein\nidentification in bacterial proteomes.","url_abs":"http://arxiv.org/abs/1604.02270v2","url_pdf":"http://arxiv.org/pdf/1604.02270v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"single-molecule-protein-identification-by-sub","repo_url":"https://github.com/fenderglass/Nano-Align","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}