Letters in Drug Design & Discovery - Volume 21, Issue 18, 2024
Volume 21, Issue 18, 2024
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A Review on Biological Activity of Quinoline-based Hybrids
Authors: Nguyen Bao Chau and Tran Khac VuThe quinoline scaffold has gained attention for its potential applications in organic synthesis and the medical field.The objective has been to identify quinoline-based hybrids with a range of biological activities, including as anti-tuberculosis, anti-cancer, antimalarial, anti-inflammatory, anti-Alzheimer's, antibacterial, and antidiabetic properties. This review provides a critical overview and highlights the latest development of q Read More
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Advances in Isatin-derived Compounds for Modern Cancer Therapy: A Comprehensive Review
Authors: Sakshi Gupta, Ashish Joshi, Pramod Kumar Sharma and Dharmendra KumarIsatin has garnered significant interest due to its wide range of pharmacological activities, including anti-inflammatory, anti-HIV, anticancer, antioxidant, antimicrobial, and antifungal properties. As a natural compound found in both humans (as a metabolic derivative of adrenaline) and plants (melastatin), its unique structure, with carbonyl groups at positions 2 and 3 and an NH group at position 1, makes it a valuable sca Read More
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An Insight into Signalling Pathways in Cancer: Hedgehog, PI3K, and Notch Pathways and Therapeutic Perspectives
Dysregulation of cellular signaling pathways leads to changes in proliferation, differentiation, and apoptosis, leading to cancer. This review aims to provide insight into the major three signaling pathways implicated in cancer development and progression: the Hedgehog (Hh), Phosphoinositide 3-kinase (PI3K), and Notch pathways. Abnormal activation of the Hedgehog pathway, which has been linked to several malignancies, inclu Read More
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Amidoximes and their Cyclized Analogue Oxadiazoles as New Frontiers in Chemical Biology: Mini Review
More LessThis comprehensive review delves into the medicinal chemistry of amidoxime and 1,2,4-oxadiazole scaffolds. These scaffolds have been modified to address bacterial infections, malaria, inflammation, Alzheimer's disease, and cancer, yielding novel lead compounds with significant therapeutic potential. The review scrutinizes recently developed bioactive candidates, highlighting their antibacterial and anti-biofilm properties thro Read More
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The Contribution of the Rat Mesenteric Vascular Bed Model to Phytopharmacology with Computational Studies of the Main Vasorelaxant Phytochemicals
BackgroundHypertension, a major risk factor for cardiovascular disease, is often managed with antihypertensive drugs. Medicinal plants are commonly used to control hypertension, and many studies assess their antihypertensive effects using the rat mesenteric vascular bed model.ObjectiveThis paper aims to highlight the value of the rat mesenteric vascular bed as a pharmacological model for evaluating the Read More
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Exploring the Potential of Artificial Intelligence in Medical Research: Applications, Regulatory Concerns, Opportunities and Future Outlook- A Mini Review
Authors: Ashima Ahuja, Yogesh Murti and Sonia SinghArtificial Intelligence (AI), due to digitalization, has recently conquered the healthcare disciplines. AI has substantially progressed in healthcare and medical research for preventive, predictive, and personalized care. AI will continue to become the ultimate healthcare-effective tool for serious ailments requiring the early detection of rebuttal. It is a fast-growing automated system based on algorithms positioned to benefit patie Read More
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A Systemic Review on Phytochemicals and Novel Approaches for the Management of Hepatic Cancer
Authors: Zulfa Nooreen, Fariha Sumayya, Pranay Wal, Chirag Goda, Mohd Imran and Amin GasmiIntroductionHepatic cancer, an aggressive tumour that often develops along with cirrhosis and chronic liver disease like infections with the hepatitis B and hepatitis C viruses, while non-alcoholic steatohepatitis, is linked to metabolic syndrome or diabetes mellitus. It is the third most prevalent cause of cancer-related mortality globally and ranks fifth in cancer incidence. According to GLOBOCON, the prevalence is expected to ri Read More
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Mechanism of Benzoinum in the Treatment of Ischemic Stroke Based on Network Pharmacology and Molecular Docking
More LessObjectBenzoinum is a traditional Chinese medicine used to treat ischemic stroke. However, the mechanism of action of benzoinum for treating ischemic stroke still remains unclear. This study aims to elucidate the mechanism of benzoinum for treating ischemic stroke based on network pharmacology and molecular docking, which will explore its key targets and provide a basis and new treatment ideas for its clinical appli Read More
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oa Application of Machine Learning Methods in Predicting Lysine-specific Histone Demethylase 1 (LSD1) Inhibitors
Authors: Zheng-Kun Kuang, Qing Huang and Lixia HuangBackgroundLysine-specific histone demethylase 1 (LSD1) is a well-known anti-cancer target for drug discovery. Novel reversible inhibitors of LSD1 are desirable to be developed.ObjectiveThis study aimed to build reliable predictive models to evaluate the antineoplastic efficacy of compounds and reveal the structural foundation underlying the inhibitory activity of LSD1.MethodsMultiple artificial intelligence algorithms were utiliz Read More
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Screening of FDA-approved Drugs against Protein Thymidine Kinase 2 Using Machine Learning Method Validated Applying Molecular Dynamics and Free Energy Landscape Calculation
BackgroundThymidine kinase 2 (TK2) is a crucial enzyme in the mitochondrial pyrimidine salvage pathway, strongly associated with several mitochondrial diseases. Current treatments frequently damage mitochondria, leading to a decrease in cellular energy output.ObjectiveThis study aimed to use computational approaches to identify inhibitors of TK2 that could prevent these harmful consequences.MethodsThe initial Read More
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Unlocking Therapeutic Potential: Molecular Docking Insights into Aurora Kinase A Inhibitors Patented and Published from 2011-2020 for Innovative Anticancer Drug Design
Authors: Ketki Rani, Avijit Mazumder, Manish K. Gupta and Tripti AroraBackgroundEnzymes belonging to the kinase family have been extensively implicated in cancer. Aurora A (AURKA) is crucial in regulating the cell cycle. AURKA's significant role in the formation of abnormal mitotic spindles and the failure of cytokinesis positions it as a promising target for anticancer treatments. Notably, AURKA is observed to be overexpressed in various cancer types, making its inhibition a compelling strat Read More
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A Novel Drug Delivery Platform Against Bacterial Resistance: Synthesis and Characterization of Ciprofloxacin-loaded MCM-41 Mesoporous Silica Nanoparticle
BackgroundsAdvances in nanotechnology have revealed innovative applications in pharmaceutical sciences to solve unmet medical needs. Over the past decades, antibiotic resistance has emerged as a global concern. This catastrophic phenomenon, with a rapid increase in frequency, indicates the urgent need for the introduction of new approaches. In this respect, as a class of inorganic nanomaterials, mesoporous sili Read More
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Exploring Novel Benzopyran Derivatives as Antitubercular Agents
BackgroundTuberculosis (TB) remains a significant global health concern, necessitating the exploration of novel therapeutic agents. Reported antitubercular activities of previously synthesized benzopyran and other oxygen-containing heterocycles motivate us to synthesize and evaluate the antitubercular potential of benzopyran derivatives.ObjectiveThe aim of this study was to combine two scaffolds; one is coumarin (benzo Read More
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A Network Pharmacology Study on Mechanism of Total Flavonoids of Hippophae Rhamnoides in Treating Allergic Dermatitis via Regulation of IL-17 Signaling Pathways
Authors: Lun Wu, Jinsuo Zhou, Xingyu Guo, Yongqiang Du, Shanshan Li, Wenting Yu, Huinan Bu and Wencheng ChiObjectiveThis study aims to investigate the active ingredients and potential mechanisms of Total Flavonoids of Hippophae (TFH) in the treatment of Allergic Dermatitis (AD) using network pharmacology and molecular docking.MethodsThe effective components and targets of TFH were identified using the TCMSP, PubChem, and Pharmmapper databases. AD-related targets were screened through GeneCards, OMIM, and TTD data Read More
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Synthesis of New Xanthene and Acridine Derivatives from Cyclohexan-1,3-dione and the Study of their Antiproliferative Activities
Authors: Rehab A. Ibrahim and Rafat M. MoharebBackgroundIonic immobilized liquids and multi-component reactions are integral to green chemistry, facilitating the synthesis of biologically active compounds, such as xanthene and acridine derivatives. These approaches have garnered significant attention in recent years.ObjectiveThe aim of this study was to synthesize novel xanthene and acridine derivatives with diverse substituents and heterocyclic rings. Furthermore, the r Read More
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Unlocking Neuraminidase Inhibitors: Insights from Natural Products through Pharmacophore Modeling, Virtual Screening, and Molecular Docking
Authors: Huda Mando and Nathalie MoussaBackgroundNeuraminidase enzyme plays a major role in the life cycle of influenza viruses. Targeting neuraminidases is a key strategy in preventing and treating influenza A and B spread by inhibiting the release of new viral particles from infected cells. Developing new neuraminidase inhibitors with enhanced efficacy and reduced risk of resistance is the ultimate of ongoing research.ObjectiveIn this study, we tried to shed light o Read More
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Exploring the Molecular Basis of Anticancer Activity in Various Mushroom Species Against Colorectal Cancer Cells
Authors: İpek Ceylan, Dilşad Özerkan, Nuray Emin, Ilgaz Akata and Ergin Murat AltunerBackgroundMushrooms are shown to protect against the side effects of cancer. Therefore, mushrooms with proven anticancer properties and active ingredients are fascinating in the search for new cancer drugs.ObjectiveIn this study, the effects of extracts from Hericium coralloides (M1), Lactarius deliciosus (M2), Lepista nuda (M3), Pleurotus ostreatus (M4), and Suillus collinitus (M5) together on HCT116 were investigated. Read More
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Molecular Mechanism of Finerenone in Treating Diabetic Nephropathy Based on Bioinformatics
Authors: Mengshu Lin, Meiqi Lu, Yixuan Chen and Qing GaoBackgroundDiabetic Nephropathy (DN) is the leading cause of the end-stage renal disease (ESRD). Finerenone (with the molecular formula C21H22N4O3) is an oral non-steroidal mineralocorticoid antagonist (ns-MRA) that is both highly potent and has strong selectivity for the MR. At present, it has been used to treat DN. However, the molecular mechanism of finerenone in the treatment of diabetic nephropathy remai Read More
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Bioinformatic Analysis and Molecular Docking to Elucidate the Anticancer Effect of Silver Nanoparticles in Hepatocellular Carcinoma
BackgroundHepatocellular carcinoma is the cancer with the highest mortality rate worldwide. Currently, existing treatments are not very effective for this disease. Different science areas have focused on developing new therapies, including nanomedicine. In-vitro studies have reported the anticancer activity of silver nanoparticles, particularly those coated with polyvinylpyrrolidone (AgNPs-PVP).AimsCharacterize the effect o Read More
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Lidocaine Induces Neurotoxicity by Activating the CaMKII and p38 MAPK Signaling Pathways through an Increase in Intracellular Calcium Ions
Authors: Qian Ma, Meng Wang, Bin Zhang, Danting Jia and Xuexin ChenBackgroundLidocaine is extensively utilized as an anesthetic in clinical settings; however, it has demonstrated significant neurotoxicity when administered for spinal anesthesia. The specific mechanisms underlying lidocaine-induced neurotoxicity are poorly understood.ObjectiveThis study aimed to investigate the mechanisms through which lidocaine induces neurotoxicity, focusing on its effects on intracellular calcium relea Read More
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Volumes & issues
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Volume 21 (2024)
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Volume 20 (2023)
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Volume 19 (2022)
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Volume 18 (2021)
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Volume 17 (2020)
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Volume 16 (2019)
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Volume 15 (2018)
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Volume 14 (2017)
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Volume 13 (2016)
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Volume 12 (2015)
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Volume 11 (2014)
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Volume 10 (2013)
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Volume 9 (2012)
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Volume 8 (2011)
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Volume 7 (2010)
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Volume 6 (2009)
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Volume 5 (2008)
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Volume 4 (2007)
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Volume 3 (2006)
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Volume 2 (2005)
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Volume 1 (2004)
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