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A combined bioinformatics and LC-MS-based approach for the development and benchmarking of a comprehensive database of Lymnaea CNS proteins.

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Bibliographic Details
Title: A combined bioinformatics and LC-MS-based approach for the development and benchmarking of a comprehensive database of Lymnaea CNS proteins.
Authors: Wooller S; Bioinformatics Group, School of Life Sciences, University of Sussex, Brighton, BN1 9QG, UK., Anagnostopoulou A; Sussex Neuroscience, School of Life Sciences, University of Sussex, Brighton, BN1 9QG, UK., Kuropka B; Institute for Chemistry and Biochemistry, Freie Universität Berlin, 14195 Berlin, Germany., Crossley M; Sussex Neuroscience, School of Life Sciences, University of Sussex, Brighton, BN1 9QG, UK., Benjamin PR; Sussex Neuroscience, School of Life Sciences, University of Sussex, Brighton, BN1 9QG, UK., Pearl F; Bioinformatics Group, School of Life Sciences, University of Sussex, Brighton, BN1 9QG, UK., Kemenes I; Sussex Neuroscience, School of Life Sciences, University of Sussex, Brighton, BN1 9QG, UK., Kemenes G; Sussex Neuroscience, School of Life Sciences, University of Sussex, Brighton, BN1 9QG, UK., Eravci M; Sussex Neuroscience, School of Life Sciences, University of Sussex, Brighton, BN1 9QG, UK.
Source: The Journal of experimental biology [J Exp Biol] 2022 Apr 01; Vol. 225 (7). Date of Electronic Publication: 2022 Apr 12.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Company Of Biologists Limited Country of Publication: England NLM ID: 0243705 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1477-9145 (Electronic) Linking ISSN: 00220949 NLM ISO Abbreviation: J Exp Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1477-9145
DOI:10.1242/jeb.243753