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Authors / Pierre-Marie Allard >


authors Adriano Rutz ORCID , Maria Sorokina , Jakub Galgonek , Daniel Mietchen , Egon Willighagen , Arnaud Gaudry , James G. Graham ORCID , Ralf Stephan , Roderic Page , Jiří Vondrášek , Christoph Steinbeck ORCID , Guido F. Pauli ORCID , Jean-Luc Wolfender ORCID , Jonathan Bisson ORCID , Pierre-Marie Allard ORCID
journal bioRxiv
subjects Wikidata Natural products Databases Chemoinformatics
Contemporary bioinformatic and chemoinformatic capabilities hold promise to reshape knowledge management, analysis and interpretation of data in natural products research. Currently, reliance on a disparate set of non-standardized, insular, and specialized databases presents a series of challenges to data access, either within the discipline or to integration and interoperability between related domains. The fundamental elements of exchange are referenced structure-organism pairs that establish relationships between distinct molecular structures and the living organisms from which they were identified.
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categories publications science

authors Adriano Rutz ORCID , Miwa Dounoue-Kubo , Simon Ollivier , Jonathan Bisson ORCID , Mohsen Bagheri , Tongchai Saesong , Samad Nejad Ebrahimi , Kornkanok Ingkaninan , Jean-Luc Wolfender ORCID , Pierre-Marie Allard ORCID
journal Frontiers in Plant Science (RoMEO status: Green)
subjects Pharmacognosy Taxonomy Mass spectrometry Annotation
Mass spectrometry (MS) offers unrivalled sensitivity for the metabolite profiling of complex biological matrices encountered in natural products (NP) research. The massive and complex sets of spectral data generated by such platforms require computational approaches for their interpretation. Within such approaches, computational metabolite annotation automatically links spectral data to candidate structures via a score, which is usually established between the acquired data and experimental or theoretical spectral databases (DB). This process leads to various candidate structures for each MS features.
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categories publications science

authors Pierre-Marie Allard ORCID , Jonathan Bisson ORCID , Antonio Azzollini ORCID , Guido F. Pauli ORCID , Geoffrey A Cordell , Jean-Luc Wolfender ORCID
journal Current Opinion in Biotechnology (RoMEO status: Green)
subjects Pharmacognosy Computers Data Digital Nanopublications Mining Contextualization
Humans have co-evolved alongside numerous other organisms, some having a profound effect on health and nutrition. As the earliest pharmaceutical subject, pharmacognosy has evolved into a meta-discipline devoted to natural biomedical agents and their functional properties. While the acquisition of expanding data volumes is ongoing, contextualization is lagging. Thus, we assert that the establishment of an integrated and open databases ecosystem will nurture the discipline. After proposing an epistemological framework of knowledge acquisition in pharmacognosy, this study focuses on recent computational and analytical approaches.
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categories publications science

authors Pierre-Marie Allard ORCID , Tiphaine Péresse , Jonathan Bisson ORCID , Katia Gindro , Laurence Marcourt , Van Cuong Pham , Fanny Roussi , Marc Litaudon , Jean-Luc Wolfender ORCID
journal Analytical Chemistry (RoMEO status: White)
subjects Pharmacognosy Phytochemistry MS Fragmentation Molecular Networking Virtual pharmacognosy
Dereplication represents a key step for rapidly identifying known secondary metabolites in complex biological matrices. In this context, liquid-chromatography coupled to high resolution mass spectrometry (LC-HRMS) is increasingly used and, via untargeted data-dependent MS/MS experiments, massive amounts of detailed information on the chemical composition of crude extracts can be generated. An efficient exploitation of such data sets requires automated data treatment and access to dedicated fragmentation databases. Various novel bioinformatics approaches such as molecular networking (MN) and in-silico fragmentation tools have emerged recently and provide new perspective for early metabolite identification in natural products (NPs) research.
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categories publications science