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Coding recognition of the dose–effect interdependence of small biomolecules encrypted on paired chromatographic-based microassay arrays
The discovery of small biomolecules has suffered from the lack of a comprehensive framework to express the intrinsic correlation between bioactivity and the contribution from small molecules in complex samples with molecular and bioactivity diversity. Here, by mapping a sample’s 2D-HPTLC fingerprint...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9183755/ https://www.ncbi.nlm.nih.gov/pubmed/35680658 http://dx.doi.org/10.1007/s00216-022-04162-9 |
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author | Deng, Yifeng Lin, Zhenpeng Cheng, Yuan |
author_facet | Deng, Yifeng Lin, Zhenpeng Cheng, Yuan |
author_sort | Deng, Yifeng |
collection | PubMed |
description | The discovery of small biomolecules has suffered from the lack of a comprehensive framework to express the intrinsic correlation between bioactivity and the contribution from small molecules in complex samples with molecular and bioactivity diversity. Here, by mapping a sample’s 2D-HPTLC fingerprint to microplates, paired chromatographic-based microassay arrays are created, which can be used as quasi-chips to characterize multiple attributes of chromatographic components; as the array differential expression of the bioactivity and molecular attributes of irregular chromatographic spots for dose–effect interdependent encoding; and also as the automatic-collimated array mosaics of the multi-attributes of each component itself encrypted by its chromatographic fingerprint. Based on this homologous framework, we propose a correlating recognition strategy for small biomolecules through their self-consistent chromatographic behavior characteristics. In the approach, the small biomolecule recognition in diverse compounds is transformed into a constraint satisfaction problem, which is addressed through examining the dose–effect interdependence of the homologous 2D code pairs by an array matching algorithm, instead of preparing diverse compound monomers of complex test samples for identification item-by-item. Furthermore, considering the dose–effect interdependent 2D code pairs as links and the digital-specific quasimolecular ions as nodes, an extendable self-consistent framework that correlates mammalian cell phenotypic and target-based bioassays with small biomolecules is established. Therefore, the small molecule contributions and the correlations of bioactivities, as well as their pathways, can be comprehensively revealed, so as to improve the reliability and efficiency of screening. This strategy was successfully applied to galangal, and demonstrated the high-throughput digital preliminary screening of small biomolecules in a natural product. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00216-022-04162-9. |
format | Online Article Text |
id | pubmed-9183755 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-91837552022-06-10 Coding recognition of the dose–effect interdependence of small biomolecules encrypted on paired chromatographic-based microassay arrays Deng, Yifeng Lin, Zhenpeng Cheng, Yuan Anal Bioanal Chem Research Paper The discovery of small biomolecules has suffered from the lack of a comprehensive framework to express the intrinsic correlation between bioactivity and the contribution from small molecules in complex samples with molecular and bioactivity diversity. Here, by mapping a sample’s 2D-HPTLC fingerprint to microplates, paired chromatographic-based microassay arrays are created, which can be used as quasi-chips to characterize multiple attributes of chromatographic components; as the array differential expression of the bioactivity and molecular attributes of irregular chromatographic spots for dose–effect interdependent encoding; and also as the automatic-collimated array mosaics of the multi-attributes of each component itself encrypted by its chromatographic fingerprint. Based on this homologous framework, we propose a correlating recognition strategy for small biomolecules through their self-consistent chromatographic behavior characteristics. In the approach, the small biomolecule recognition in diverse compounds is transformed into a constraint satisfaction problem, which is addressed through examining the dose–effect interdependence of the homologous 2D code pairs by an array matching algorithm, instead of preparing diverse compound monomers of complex test samples for identification item-by-item. Furthermore, considering the dose–effect interdependent 2D code pairs as links and the digital-specific quasimolecular ions as nodes, an extendable self-consistent framework that correlates mammalian cell phenotypic and target-based bioassays with small biomolecules is established. Therefore, the small molecule contributions and the correlations of bioactivities, as well as their pathways, can be comprehensively revealed, so as to improve the reliability and efficiency of screening. This strategy was successfully applied to galangal, and demonstrated the high-throughput digital preliminary screening of small biomolecules in a natural product. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00216-022-04162-9. Springer Berlin Heidelberg 2022-06-10 2022 /pmc/articles/PMC9183755/ /pubmed/35680658 http://dx.doi.org/10.1007/s00216-022-04162-9 Text en © Springer-Verlag GmbH Germany, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Research Paper Deng, Yifeng Lin, Zhenpeng Cheng, Yuan Coding recognition of the dose–effect interdependence of small biomolecules encrypted on paired chromatographic-based microassay arrays |
title | Coding recognition of the dose–effect interdependence of small biomolecules encrypted on paired chromatographic-based microassay arrays |
title_full | Coding recognition of the dose–effect interdependence of small biomolecules encrypted on paired chromatographic-based microassay arrays |
title_fullStr | Coding recognition of the dose–effect interdependence of small biomolecules encrypted on paired chromatographic-based microassay arrays |
title_full_unstemmed | Coding recognition of the dose–effect interdependence of small biomolecules encrypted on paired chromatographic-based microassay arrays |
title_short | Coding recognition of the dose–effect interdependence of small biomolecules encrypted on paired chromatographic-based microassay arrays |
title_sort | coding recognition of the dose–effect interdependence of small biomolecules encrypted on paired chromatographic-based microassay arrays |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9183755/ https://www.ncbi.nlm.nih.gov/pubmed/35680658 http://dx.doi.org/10.1007/s00216-022-04162-9 |
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