This Perspective seeks to reconnect the current practice of nuclear magnetic resonance (NMR) spectroscopy in chemical structure and quantitative (qNMR) analysis with its roots in classical physics and quantum mechanics (QM). Rationales for this approach are derived from various angles, including focused reviews of the key parameters of the nuclear resonance phenomenon, the structural information richness of NMR spectra, and significant progress in both computational and spectrometer hardware. This provides collective reasoning for the reintegration of computational quantum mechanical spectral analysis (QMSA) into the contemporary practice of NMR spectral interpretation. Retethering operator-dependent visual with QM-driven computational analysis yields more objective and accurate information by taking advantage of QM as the foundational reference point for NMR. Powerful computational tools for compound are available and evolve rapidly toward automation. In addition to enhancing the rigor and reproducibility of structure elucidation of new and the dereplication of known compounds, QM anchoring enables competent resolution of peak overlap, with resulting benefits in qNMR and low-field/benchtop NMR analysis. Furthermore, examination of common definitions and documentation practices shows that an evolutionary reconciliation of NMR terminology helps resolve ambiguities: shifting from peak focus to QM-based pattern analysis is not only the logical next step when communicating structures of natural products and other molecules reproducibly but also a timely approach, as it yields QMSA-verified data for evolving knowledge bases for molecules of biomedical relevance.
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http://dx.doi.org/10.1021/acs.jnatprod.4c01013 | DOI Listing |
Endocr Regul
January 2025
1Endocrinology and Internal Medicine Department, Fattouma Bourguiba University Hospital, Monastir, Tunisia.
Pituitary neuroendocrine tumors (PitNETS) are common intracranial tumors, but extrasellar or ectopic PitNETS are very rare and supposed to originate from some pituitary remnants. They are mostly found in sphenoidal sinus. But particularly, ectopic clival PitNETS are highly aggressive and can cause bone invasion and can be misdiagnosed as other lesions of the skull base such as chordomas.
View Article and Find Full Text PDFOrg Lett
March 2025
National Center for Natural Products Research, School of Pharmacy, University of Mississippi, University, Mississippi 38677, United States.
Astracondensatol D (), a pentacyclic triterpenoid featuring an uncommon 6/6/5/6-fused ring system, along with its precursor astracondensatol E (), and two simplified 20(27)-octanorcycloastragenol derivatives ( and ) were isolated from for the first time. Classical NMR spectroscopic data, integrated with NMR and DP4+ calculations, unambiguously determined their absolute stereostructures. X-ray crystallography provided independent confirmation of the structure of compound .
View Article and Find Full Text PDFAngew Chem Int Ed Engl
March 2025
University of Oulu: Oulun Yliopisto, NMR Research Unit, FINLAND.
Reduction of the germole-ligated sandwich complexes [(η5-CpGe)M(η5-Cpttt)]2 (1M, M = Y, Gd, Dy) with one or two equivalents of KC8/2.2.2-cryptand produces [(η5-CpGe)M(η5-Cpttt)2]- (2M) and [(η5-CpGe)M(η5-Cpttt)2]2- (3M), respectively, as salts of [K(2.
View Article and Find Full Text PDFSci Adv
March 2025
College of Computer Science and Technology, Zhejiang University, Hangzhou, China.
Brain age gap (BAG), the deviation between estimated brain age and chronological age, is a promising marker of brain health. However, the genetic architecture and reliable targets for brain aging remains poorly understood. In this study, we estimate magnetic resonance imaging (MRI)-based brain age using deep learning models trained on the UK Biobank and validated with three external datasets.
View Article and Find Full Text PDFGigascience
January 2025
Department of Neurology, University of Halle Medical Center, Halle 06102, Germany.
Background: The cerebellum is one of the major central nervous structures consistently altered in obesity. Its role in higher cognitive function, parts of which are affected by obesity, is mediated through projections to and from the cerebral cortex. We therefore investigated the relationship between body mass index (BMI) and cerebellocerebral connectivity.
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