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  Statistical Models for Predicting Oil Composition from Hydrothermal Liquefaction of Biomass

Knaup, F. H., Meyners, C., Sugiarto, W. O., Wedel, S., Springer, M., Walz, C., et al. (2023). Statistical Models for Predicting Oil Composition from Hydrothermal Liquefaction of Biomass. JOURNAL OF MEDICINAL CHEMISTRY, 66(8), 5965-5980. doi:10.1021/acs.jmedchem.3c00249.

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 Urheber:
Knaup, Fabian H., Autor
Meyners, Christian, Autor
Sugiarto, Wisely Oki, Autor
Wedel, Saskia, Autor
Springer, Margherita1, Autor           
Walz, Carlo, Autor
Geiger, Thomas M., Autor
Schmidt, Mathias1, Autor           
Sisignano, Marco, Autor
Hausch, Felix, Autor
Affiliations:
1RG Stress Resilience, Max Planck Institute of Psychiatry, Max Planck Society, ou_2040294              

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 Zusammenfassung: In recent years, the selective inhibition of FKBP51 has emerged as a possible treatment for chronic pain, obesityinduced diabetes, or depression. All currently known advanced FKBP51-selective inhibitors, including the widely used SAFit2, contain a cyclohexyl residue as a key motif for enabling selectivity over the closest homologue and anti-target FKBP52. During a structure-based SAR exploration, we surprisingly discovered thiophenes as highly efficient cyclohexyl replacement moieties that retain the strong selectivity of SAFit-type inhibitors for FKBP51 over FKBP52. Cocrystal structures revealed that the thiophenecontaining moieties enable selectivity by stabilizing a flipped-out conformation of Phe(67) of FKBP51. Our best compound, 19b, potently binds to FKBP51 biochemically as well as in mammalian cells, desensitize TRPV1 in primary sensory neurons, and has an acceptable PK profile in mice, suggesting its use as a novel tool compound for studying FKBP51 in animal models of neuropathic pain.

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 Datum: 2023
 Publikationsstatus: Erschienen
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 Ort, Verlag, Ausgabe: -
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 Art der Begutachtung: -
 Identifikatoren: ISI: 000976550800001
DOI: 10.1021/acs.jmedchem.3c00249
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Titel: JOURNAL OF MEDICINAL CHEMISTRY
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 66 (8) Artikelnummer: - Start- / Endseite: 5965 - 5980 Identifikator: ISSN: 0022-2623