Rajat Ghosh

According to the World Health Organization, over 422 million people worldwide have diabetes, with the majority residing in low- and middle-income countries. Diabetes causes 1.5 million fatalities a year. The number of diabetes cases and its prevalence have progressively increased over the last few decades. This study aims to determine the phytochemicals in the edible part of Perkia javanica, predict their α-glucosidase inhibitory potential, one of the promising targets for diabetes, and then carry out in vitro and in vivo studies. The phytochemicals present in the n-butanol fraction of the methanol extract of P. javanica pods were analyzed using UHPLC-QTOF-MS/MS (Ultra-High-Performance Liquid Chromatography-Quadrupole Time-of-Flight Mass Spectrometry). The UHPLC-QTOF analysis revealed the presence of 79 different compounds in the n-butanol fraction. Among these, six compounds demonstrated excellent binding affinities with α-glucosidase, surpassing the performance of two standard inhibitors, Miglitol and Voglibose. In vitro α-glucosidase inhibitory activities were assessed by the n-butanol fraction, followed by in vivo studies. According to the in vitro study, the inhibitory efficiency against α-glucosidase was determined to have an IC₅₀ value of 261.9 µg/mL. The in vivo findings revealed a significant reduction in blood glucose levels in Swiss albino mice treated with the same extract, decreasing from 462.66 mg/dL to 228.66 mg/dL. Additionally, the extract significantly increased the activity of the enzymes catalase and superoxide dismutase (SOD) and decreased the amount of malondialdehyde (MDA) in the liver and kidney tissue. The predicted physicochemical parameters indicated that most of the compounds would be excreted from the body after inhibition in the small intestine without being absorbed. Considering the low cost and wide availability of raw materials, P. javanica pods can serve as a good food supplement that may help prevent type 2 diabetes management.

Chalcone is a simple naturally occurring α,β-unsaturated ketone with biological importance, which can also be easily synthesized in laboratories by reaction between two aromatic scaffolds. In plants, chalcones occur as polyphenolic compounds of different frameworks which are bioactive molecules that have been in traditional medicinal practice for many years. Chalcone-based lead molecules have been developed, possessing varied potentials such as antimicrobial, antiviral, anti-inflammatory, anticancer, anti-oxidant, antidiabetic, antihyperurecemic, and anti-ulcer effects. Chalcones contribute considerable fragments to give important heterocyclic molecules with therapeutic utilities targeting various diseases. These characteristic features have made chalcone a topic of interest among researchers and have attracted investigations into this widely applicable structure. This review highlights the extensive exploration carried out on the synthesis, biotransformations, chemical reactions, hybridization, and pharmacological potentials of chalcones, and aims to provide an extensive, thorough, and critical review of their importance, with emphasis on their properties, chemistry, and biomedical applications to boost future investigations into this potential scaffold in medicinal chemistry. Graphical Abstract This review highlights chalcones derived from natural sources, their synthetic approaches, biotransformation, chemical reactions undergone, pharmacological potentials, and their significance in drug discovery and drug design.

According to WHO, antibiotic resistance is one of the biggest healthcare challenges to the global community. Therefore, it is absolutely essential to discover new antibiotics to address the challenge. Dicliptera paniculata (ForssK.) I. Darbysh, a rare medicinal herb of Acanthaceae, is known for its noteworthy uses as a flavoring, spicing, and antibacterial agent. The primary goal of the study is to identify novel antibacterials from D. paniculata. The petroleum ether fraction of the methanol extract of D. paniculata was subjected to GC–MS and identified 14 compounds. Several bacterial target proteins were used for molecular docking. The antibacterial activity of petroleum-ether fraction was evaluated on bacteria whose target protein interacts most strongly with identified molecules. The molecules DP_02, DP_06, and DP_14 exhibited the highest docking scores with Staphylococcus aureus dihydrofolate reductase, which were − 6.283, − 7.705, and − 6.364 kcal/mol, respectively. The MM-GBSA binding energy of compounds DP_02, DP_06, and DP_14 were − 46.736, − 42.366, and − 35.734 kcal/mol, respectively. The MM-GBSA binding energy and decent docking score of the compounds DP_02 and DP_06 were both encouraging, and both of the compounds are drug-like. The finding was validated through studies on antibacterial effectiveness against S. aureus and showed encouraging results. These two molecules might serve as the building blocks for the future development of potent antibiotics.

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Training action space selection for reinforcement learning (RL) is conflict-prone due to complex state-action relationships. To address this challenge, this paper proposes a Shapley-inspired methodology for training action space categorization and ranking. To reduce exponential-time shapley computations, the methodology includes a Monte Carlo simulation to avoid unnecessary explorations. The effectiveness of the methodology is illustrated using a cloud infrastructure resource tuning case study. It reduces the search space by 80\% and categorizes the training action sets into dispensable and indispensable groups. Additionally, it ranks different training actions to facilitate high-performance yet cost-efficient RL model design. The proposed data-driven methodology is extensible to different domains, use cases, and reinforcement learning algorithms.