{"title":"核磁共振在现代生物医学研究和药物发现的时代。","authors":"Xiuxiu Lu, Wazo Myint, Christine S Muli, Mioara Larion, Hiroshi Matsuo, Kylie J Walters","doi":"10.1016/j.jmb.2025.169302","DOIUrl":null,"url":null,"abstract":"<p><p>The success of artificial intelligence for structure prediction has led to forecasts of a reduced need for experimental structural biology. Here, we focus on nuclear magnetic resonance (NMR) spectroscopy and its various applications to biomedical research, including and extending beyond structural biology. As a structural tool, NMR is highly complementary to X-ray crystallography and cryo-electron microscopy (cryo-EM) and uniquely suited for studies of intrinsically disordered and dynamic systems in real time. It produces spectral fingerprints of biomolecules at the atomic scale to provide information on the structure, interactions, and motions that occur in solution. We focus on the power of NMR to characterize moderately sized dynamic systems, identify and validate the binding of small molecule ligands to biomolecular targets, and its capacity to further develop and be empowered by artificial intelligence-based structural prediction software. Experimental structural biology begins with sample preparation, and we present recent advancements for overcoming hurdles associated with reconstitution of biological systems for NMR studies and ongoing challenges, including in the application of NMR for cell-based research. NMR is aptly suited to bench-to-bedside efforts for its ability to do metabolomic profiling and follow drug response. We present the capacity of NMR to delve into complexities that are the foundation of biological function and focus on its ongoing challenges and opportunities to apply NMR for the advancement of biomedical research.</p>","PeriodicalId":369,"journal":{"name":"Journal of Molecular Biology","volume":" ","pages":"169302"},"PeriodicalIF":4.5000,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12220979/pdf/","citationCount":"0","resultStr":"{\"title\":\"NMR in the Age of Modern Biomedical Research and Drug Discovery.\",\"authors\":\"Xiuxiu Lu, Wazo Myint, Christine S Muli, Mioara Larion, Hiroshi Matsuo, Kylie J Walters\",\"doi\":\"10.1016/j.jmb.2025.169302\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The success of artificial intelligence for structure prediction has led to forecasts of a reduced need for experimental structural biology. Here, we focus on nuclear magnetic resonance (NMR) spectroscopy and its various applications to biomedical research, including and extending beyond structural biology. As a structural tool, NMR is highly complementary to X-ray crystallography and cryo-electron microscopy (cryo-EM) and uniquely suited for studies of intrinsically disordered and dynamic systems in real time. It produces spectral fingerprints of biomolecules at the atomic scale to provide information on the structure, interactions, and motions that occur in solution. We focus on the power of NMR to characterize moderately sized dynamic systems, identify and validate the binding of small molecule ligands to biomolecular targets, and its capacity to further develop and be empowered by artificial intelligence-based structural prediction software. Experimental structural biology begins with sample preparation, and we present recent advancements for overcoming hurdles associated with reconstitution of biological systems for NMR studies and ongoing challenges, including in the application of NMR for cell-based research. NMR is aptly suited to bench-to-bedside efforts for its ability to do metabolomic profiling and follow drug response. We present the capacity of NMR to delve into complexities that are the foundation of biological function and focus on its ongoing challenges and opportunities to apply NMR for the advancement of biomedical research.</p>\",\"PeriodicalId\":369,\"journal\":{\"name\":\"Journal of Molecular Biology\",\"volume\":\" \",\"pages\":\"169302\"},\"PeriodicalIF\":4.5000,\"publicationDate\":\"2025-06-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12220979/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Molecular Biology\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1016/j.jmb.2025.169302\",\"RegionNum\":2,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Molecular Biology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1016/j.jmb.2025.169302","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
NMR in the Age of Modern Biomedical Research and Drug Discovery.
The success of artificial intelligence for structure prediction has led to forecasts of a reduced need for experimental structural biology. Here, we focus on nuclear magnetic resonance (NMR) spectroscopy and its various applications to biomedical research, including and extending beyond structural biology. As a structural tool, NMR is highly complementary to X-ray crystallography and cryo-electron microscopy (cryo-EM) and uniquely suited for studies of intrinsically disordered and dynamic systems in real time. It produces spectral fingerprints of biomolecules at the atomic scale to provide information on the structure, interactions, and motions that occur in solution. We focus on the power of NMR to characterize moderately sized dynamic systems, identify and validate the binding of small molecule ligands to biomolecular targets, and its capacity to further develop and be empowered by artificial intelligence-based structural prediction software. Experimental structural biology begins with sample preparation, and we present recent advancements for overcoming hurdles associated with reconstitution of biological systems for NMR studies and ongoing challenges, including in the application of NMR for cell-based research. NMR is aptly suited to bench-to-bedside efforts for its ability to do metabolomic profiling and follow drug response. We present the capacity of NMR to delve into complexities that are the foundation of biological function and focus on its ongoing challenges and opportunities to apply NMR for the advancement of biomedical research.
期刊介绍:
Journal of Molecular Biology (JMB) provides high quality, comprehensive and broad coverage in all areas of molecular biology. The journal publishes original scientific research papers that provide mechanistic and functional insights and report a significant advance to the field. The journal encourages the submission of multidisciplinary studies that use complementary experimental and computational approaches to address challenging biological questions.
Research areas include but are not limited to: Biomolecular interactions, signaling networks, systems biology; Cell cycle, cell growth, cell differentiation; Cell death, autophagy; Cell signaling and regulation; Chemical biology; Computational biology, in combination with experimental studies; DNA replication, repair, and recombination; Development, regenerative biology, mechanistic and functional studies of stem cells; Epigenetics, chromatin structure and function; Gene expression; Membrane processes, cell surface proteins and cell-cell interactions; Methodological advances, both experimental and theoretical, including databases; Microbiology, virology, and interactions with the host or environment; Microbiota mechanistic and functional studies; Nuclear organization; Post-translational modifications, proteomics; Processing and function of biologically important macromolecules and complexes; Molecular basis of disease; RNA processing, structure and functions of non-coding RNAs, transcription; Sorting, spatiotemporal organization, trafficking; Structural biology; Synthetic biology; Translation, protein folding, chaperones, protein degradation and quality control.