Cancer, the most common condition worldwide, ranks second in terms of the number of human deaths, surpassing cardiovascular diseases. Uncontrolled cell multiplication and resistance to cell death are the traditional features of cancer. The myriad of treatment options include surgery, chemotherapy, radiotherapy, and immunotherapy to treat this disease.
View Article and Find Full Text PDFA practical and efficient reaction for C-selenylation of 1,4-naphthoquinones has been explored. This coupling reaction of two redox structural motifs, such as 2-bromo-1,4-naphthoquinone with diaryldiselenide/ebselen has been achieved by using sodium borohydride reducing agent at room temperature. Using this approach, several 2-selenylated-1,4-naphthoquinones were obtained in moderate to good yields and thoroughly characterized by multinuclear (H, C, and Se) NMR, cyclic voltammetry, and mass spectrometry.
View Article and Find Full Text PDFSeveral approaches have been utilised to deliver therapeutic nanoparticles inside the brain but rendered by certain limitation such as active efflux, non-stability, toxicity of the nanocarrier, transport, physicochemical properties and many more. In this context use of biocompatible nano carriers is currently investigated. We herein present the hypothesis that the nucleoside-lipid based conjugates (nucleolipids) which are biocompatible in nature and have molecular recognition can be tuned for improved permeation across blood-brain barrier (BBB).
View Article and Find Full Text PDFHerein, we disclose the first temperature-dependent diastereodivergent [4 + 3] annulation of ferrocene--tosylamides C-H activation with allenes by a Rh catalyst. At room temperature, Rh-catalyzed [4 + 3] annulation selectively offered a kinetically controlled diastereomer [>20:1 diastereomeric ratio (dr)], whereas at 60 °C, a thermodynamically controlled diastereomer was obtained exclusively with >20:1 dr.
View Article and Find Full Text PDFLablab bean (Lablab purpureus L.), known for its higher protein content provides a promising alternative to reduce reliance on animal-based proteins and support sustainable agriculture. Nowadays, traditional methods for nutritional profiling have been outperformed by Convolutional Neural Networks (CNNs) integrated with Near-Infrared Reflectance Spectroscopy (NIRS).
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