Cereals are the key contributors to global food security. Genes involved in uptake (transport), assimilation and utilization of macro-and micro-nutrients are responsible for their content in grain and straw. Although many cereal genomic databases are available, currently there is no cohesive web-resource of manually curated nutrient use efficiency (NtUE) related genes and QTLs, etc. In this study, we present a web-resource containing information on NtUE related genes/QTLs and the corresponding available microRNAs for some of these genes in four major cereal crops [wheat (Triticum aestivum), rice (Oryza sativa), maize (Zea mays), barley (Hordeum vulgare)], two alien species (Triticum urartu and Aegilops tauschii) related to . CC-BY-NC-ND 4.0 International license not peer-reviewed) is the author/funder. It is made available under a The copyright holder for this preprint (which was . http://dx.doi.org/10.1101/222992 doi: bioRxiv preprint first posted online Nov. 21, 2017; wheat, and two model species including Brachypodium distachyon and Arabidopsis thaliana.Gene annotations integrated in the current web-resource were collected from the existing databases and the available literature. The primary goal of developing this web-resource is to provide descriptions of the NtUE related genes and their functional annotation. MicroRNA targeting some of the NtUE related genes and the quantitative trait loci (QTLs) for NtUE related traits are also included. The available information in the web-resource should help the users to readily search the desired information.Web-resource URL: http://bioclues.org/NtUE /

Cereals are key contributors to global food security. Genes involved in the uptake (transport), assimilation and utilization of macro- and micronutrients are responsible for the presence of these nutrients in grain and straw. Although many genomic databases for cereals are available, there is currently no cohesive web resource of manually curated nutrient use efficiency (NtUE)-related genes and quantitative trait loci (QTLs). In this study, we present a web-resource containing information on NtUE-related genes/QTLs and the corresponding available microRNAs for some of these genes in four major cereal crops (wheat ( Triticum aestivum), rice ( Oryza sativa), maize ( Zea mays), barley ( Hordeum vulgare)), two alien species related to wheat ( Triticum urartu and Aegilops tauschii), and two model species ( Brachypodium distachyon and Arabidopsis thaliana). Gene annotations integrated in the current web resource were manually curated from the existing databases and the available literature. The primary goal of developing this web resource is to provide descriptions of the NtUE-related genes and their functional annotation. MicroRNAs targeting some of the NtUE related genes and the QTLs for NtUE-related traits are also included. The genomic information embedded in the web resource should help users to search for the desired information.

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The history of pharmacovigilance started back 169 years ago with the death of a 15-year-old girl, Hannah greener. However, the Thalidomide incident of 1961 brought a sharp change in the pharmacovigilance process, with adverse drug reaction reporting being systematic, spontaneous, and regulated timely. Therefore, continuous monitoring of marketed drugs was essential to ensure the safety of public health. Any observed adverse drug reaction detected by signals was to be reported by the health profession. Moreover, signal detection became the primary goal of pharmacovigilance generate based on reported cases. Among various methods used for signal detection, the Spontaneous Reporting System was most widely preferred; although, it had the limitation of "under-reporting”. Gradually, the world health organization collaborating centre and “Uppsala Monitoring Centre” was established in 1978 for international monitoring of drug. The centre was responsible for operating various databases like vigiflow, vigibase, vigilyze, and vigiaccess. Recently, huge data could be generated through spontaneous reporting linked with computational methods such as Bayesian Framework, E-Synthesis. Furthermore, drug safety surveillance at an early stage prior to the official alerts or regulatory changes was made possible through social media. In addition, India created a National Pharmacovigilance Program, and Schedule Y of the Drug and Cosmetic Act 1945 was reviewed and amended in 2005. The collaboration of Information Technology and Pharmaceutical Company can further enhance the awareness regarding artificial intelligence in pharmacovigilance, which was in its infancy until 2017. Artificial intelligence helps improve the quality and accuracy of information much quicker.