The Natural Products Magnetic Resonance Database (NP-MRD; https://np-mrd.org) is a comprehensive, freely accessible, web-based resource for the deposition, distribution, extraction, and retrieval of nuclear magnetic resonance (NMR) data on natural products (NPs). The NP-MRD was initially established to support compound de-replication and data dissemination for the NP community. However, that community has now grown to include many users from the metabolomics, microbiomics, foodomics, and nutrition science fields. Indeed, since its launch in 2022, the NP-MRD has expanded enormously in size, scope, and popularity. The current version of NP-MRD now contains nearly 7× more compounds (281 859 versus 40 908) and 7× more NMR spectra (5.5 million versus 817 278) than the first release. More specifically, an additional 4.6 million predicted spectra and another 11 000 spectra simulated from experimental chemical shifts were deposited into the database. Likewise, the number of NMR raw spectral data depositions has grown from 165 spectra per year to >10 000 per year. As a result of this expansion, the number of monthly webpage views has grown from 55 to 20 000 and the number of monthly visitors has increased from 7 to 2500. To address this growth and to better support the expanding needs of its diverse community of users, many additional improvements to the NP-MRD have been made. These include significant enhancements to the data submission process, notable updates to the database's spectral search utilities and useful additions to support better NMR spectral analysis/prediction. Significant efforts have also been undertaken to remediate and update many of NP-MRD's database entries. This manuscript describes these database improvements and expansion efforts, along with how they have been implemented and what future upgrades to the NP-MRD are planned.
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http://dx.doi.org/10.1093/nar/gkae1067 | DOI Listing |
Mol Biotechnol
December 2024
Unit of Scientific Research, Applied College, Qassim University, Buraydah, 52571, Saudi Arabia.
The Zika virus (ZIKV), an arbovirus within the Flavivirus genus, is associated with severe neurological complications, including Guillain-Barré syndrome in affected individuals and microcephaly in infants born to infected mothers. With no approved vaccines or antiviral treatments available, there is an urgent need for effective therapeutic options. This study aimed to identify new natural compounds with inhibitory potential against the NS2B-NS3 protease (PDB ID: 5LC0), an essential enzyme in viral replication.
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December 2024
Department of Biotechnology, Faculty of Agro-industry, Kasetsart University, Bangkok, 10900, Thailand.
Tilapia lake virus (TiLV) disease is highly contagious and causes substantial mortality in tilapia. Currently, no effective treatments or commercial vaccines are available to prevent TiLV infection. In this study, TiLV segment 4 (S4) was cloned into the pET28a(+)vector and transformed into Escherichia coli BL21(DE3).
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December 2024
State Key Laboratory for Diagnosis, Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310003, China.
Influenza virus infections are a serious danger to people's health worldwide as they are responsible for seasonal flu outbreaks. There is an urgent need to improve the effectiveness and durability longevity of the immune response to influenza vaccines. We synthesized the CpG HP021 and examined the impact of it on the immune response to an influenza vaccine.
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December 2024
Department of Pharmacy Services, Vocational School of Health Services, Osmaniye Korkut Ata University, Osmaniye, Turkey.
In this work, artificial neural network coupled with multi-objective genetic algorithm (ANN-NSGA-II) has been used to develop a model and optimize the conditions for the extracting of the Mentha longifolia (L.) L. plant.
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December 2024
Central Laboratory, Suzhou TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Suzhou, 215000, Jiangsu, China.
Yu-Ping-Feng-San (YPF) is a famous classical Chinese medicine formula known for its ability to boost immunity. YPF has been applied to enhance the immune status of tumor patients in clinical practice. However, there is still a lack of research on its immune regulatory effects and mechanisms in the tumor microenvironment.
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