Development of a Python-based electron ionization mass spectrometry amino acid and peptide fragment prediction model.
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| Title: | Development of a Python-based electron ionization mass spectrometry amino acid and peptide fragment prediction model. |
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| Authors: | McBrayer DN; Department of Chemistry, State University of New York, New Paltz, New Paltz, NY, United States of America., Signoretti C; Department of Chemistry, State University of New York, New Paltz, New Paltz, NY, United States of America., Pesce M; Department of Chemistry, State University of New York, New Paltz, New Paltz, NY, United States of America., Flood BM; Department of Chemistry, State University of New York, New Paltz, New Paltz, NY, United States of America., Varghese S; Department of Chemistry, State University of New York, New Paltz, New Paltz, NY, United States of America., Sirdah F; Department of Chemistry, State University of New York, New Paltz, New Paltz, NY, United States of America., Toscano E; Department of Chemistry, State University of New York, New Paltz, New Paltz, NY, United States of America., Bhatti I; Department of Chemistry, State University of New York, New Paltz, New Paltz, NY, United States of America., Hossain S; Department of Chemistry, State University of New York, New Paltz, New Paltz, NY, United States of America. |
| Source: | PloS one [PLoS One] 2024 Feb 16; Vol. 19 (2), pp. e0297752. Date of Electronic Publication: 2024 Feb 16 (Print Publication: 2024). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0297752 |
