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» Welcome! Welcome, NMR world! Our visitors map. » Log in User Name Remember Me? Not a member yet? Register Now! Password Enhanced-sensitivity NMR could reveal new clues to how proteins fold - Phys.org Oct 22, 2024 - 9:30 AM - by nmrlearner Enhanced-sensitivity NMR could reveal new clues to how proteins fold - Phys.org Enhanced-sensitivity NMR could reveal new clues to how proteins fold Phys.org Read here 0 Replies | 1 Views Perspective: on the importance of extensive, high-quality and reliable deposition of biomolecular NMR data in the age of artificial intelligence Oct 21, 2024 - 9:30 PM - by nmrlearner Perspective: on the importance of extensive, high-quality and reliable deposition of biomolecular NMR data in the age of artificial intelligence Abstract Artificial intelligence (AI) models are revolutionising scientific data analysis but are reliant on large training data sets. While artificial training data can be used in the context of NMR processing and data analysis methods, relating NMR parameters back to protein sequence and structure requires experimental data. In this perspective we examine what the biological NMR community needs to do, in order to store and share its data better so that we can make effective use of AI methods to further our understanding of biological molecules. We argue, first, that the community should be depositing much more of its experimental data. In particular, we should be depositing more spectra and dynamics data. Second, the NMR data deposited needs to capture the full information content required to be able to use and validate it adequately. The NMR Exchange Format (NEF) was designed several years ago to do this. The widespread adoption of NEF combined with a new proposal for dynamics data specifications come at the right time for the community to expand its deposition of data. Third, we highlight the importance of expanding and safeguarding our experimental data repository, the Biological Magnetic Resonance Data Bank (BMRB), not only in the interests of NMR spectroscopists, but biological scientists more widely. With this article we invite others in the biological NMR community to champion increased (possibly mandatory) data deposition, to get involved in designing new NEF specifications, and to advocate on behalf of the BMRB within the wider scientific community. ... [Read More] 0 Replies | 43 Views [NMR paper] Aspartic Acid Binding on Hydroxyapatite Nanoparticles with Varying Morphologies Investigated by Solid-State NMR Spectroscopy and Molecular Dynamics Simulation Oct 21, 2024 - 9:30 PM - by nmrlearner Aspartic Acid Binding on Hydroxyapatite Nanoparticles with Varying Morphologies Investigated by Solid-State NMR Spectroscopy and Molecular Dynamics Simulation Hydroxyapatite (HAP) exhibits a highly oriented hierarchical structure in biological hard tissues. The formation and selective crystalline orientation of HAP is a process that involves functional biomineralization proteins abundant in acidic residues. To obtain insights into the process of HAP mineralization and acidic residue binding, synthesized HAP with specific lattice planes including (001), (100), and (011) are structurally characterized following the adsorption of aspartic acid (Asp). The... More... 0 Replies | 6 Views [NMR paper] Perspective: on the importance of extensive, high-quality and reliable deposition of biomolecular NMR data in the age of artificial intelligence Oct 21, 2024 - 9:30 PM - by nmrlearner Perspective: on the importance of extensive, high-quality and reliable deposition of biomolecular NMR data in the age of artificial intelligence Artificial intelligence (AI) models are revolutionising scientific data analysis but are reliant on large training data sets. While artificial training data can be used in the context of NMR processing and data analysis methods, relating NMR parameters back to protein sequence and structure requires experimental data. In this perspective we examine what the biological NMR community needs to do, in order to store and share its data better so that we can make effective use of AI methods to further... More... 0 Replies | 11 Views Protein Carbon-13 Spin Systems by a Single Two-Dimensional Nuclear Magnetic Resonance Experiment - Science Oct 21, 2024 - 9:18 AM - by nmrlearner Protein Carbon-13 Spin Systems by a Single Two-Dimensional Nuclear Magnetic Resonance Experiment - Science Protein Carbon-13 Spin Systems by a Single Two-Dimensional Nuclear Magnetic Resonance Experiment Science Read here 0 Replies | 15 Views Use of Water Proton NMR to Characterize Protein Aggregates: Gauging the Response and Sensitivity - ACS Publications Oct 20, 2024 - 8:59 PM - by nmrlearner Use of Water Proton NMR to Characterize Protein Aggregates: Gauging the Response and Sensitivity - ACS Publications Use of Water Proton NMR to Characterize Protein Aggregates: Gauging the Response and Sensitivity ACS Publications Read here 0 Replies | 10 Views Backbone assignment of perdeuterated proteins by solid-state NMR using proton detection and ultrafast magic-angle spinning - Nature.com Oct 20, 2024 - 8:22 AM - by nmrlearner Backbone assignment of perdeuterated proteins by solid-state NMR using proton detection and ultrafast magic-angle spinning - Nature.com Backbone assignment of perdeuterated proteins by solid-state NMR using proton detection and ultrafast magic-angle spinning Nature.com Read here 0 Replies | 16 Views Hierarchy of the Components in Spray-Dried, Protein-Excipient Particles Using DNP-Enhanced NMR Spectroscopy - ACS Publications Oct 19, 2024 - 10:15 AM - by nmrlearner Hierarchy of the Components in Spray-Dried, Protein-Excipient Particles Using DNP-Enhanced NMR Spectroscopy - ACS Publications Hierarchy of the Components in Spray-Dried, Protein-Excipient Particles Using DNP-Enhanced NMR Spectroscopy ACS Publications Read here 0 Replies | 26 Views Page 1 of 100 1 2 3 11 51 > Last »

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