Medicinal Chemistry最新文献

{"title":"Unveiling Therapeutic Avenues for Crohn’s Disease Management: Exploring Inhibitors for Adherent-Invasive Escherichia coli Propanediol Dehydratase","authors":"Mohammed Bourhia, Md. Eram Hosen, Md Omar Faruqe, Faria Tasnim, Mohamed Taibi, Amine Elbouzidi, Yousef A. Bin Jardan, Samir Ibenmoussa, Abdeslam Asehraou","doi":"10.2174/0115734064295521240227052730","DOIUrl":"https://doi.org/10.2174/0115734064295521240227052730","url":null,"abstract":"Introduction:: Inflammatory Bowel Disease (IBD) encompasses a group of chronic disorders distinguished by inflammation of the gastrointestinal tract. Among these, Crohn's Disease (CD) stands out as a complex and impactful condition due to challenges for both diagnosis and management, making it a cynosure of research. Method:: In CD, there is the predominance of proinflammatory bacteria, including the Adherentinvasive Escherichia coli (AIEC) with virulence-associated metabolic enzyme Propanediol Dehydratase (pduC), which has been identified as a therapeutic target for the management of CD. Herein, molecular modeling techniques, including molecular docking, Molecular Mechanics with Generalized Born and Surface Area (MMGBSA), drug-likeness, and pharmacokinetics profiling, were utilized to probe the potentials of eighty antibacterial compounds to serve as inhibitors of pduC. Result:: The results of this study led to the identification of five compounds with promising potentials; the results of the molecular docking simulation revealed the compounds as possessing better binding affinities for the target compared to the standard drug (sulfasalazine), while Lipinski’s rule of five-based assessment of their drug-likeness properties revealed them as potential oral drugs. MMGBSA free energy calculation and Molecular Dynamics (MD) simulation of the complexes formed a sequel to molecular docking, revealing the compounds as stable binders in the active site of the protein. Conclusion:: Ultimately, the results of this study have revealed five compounds to possess the potential to serve as inhibitors of pduC of AIEC. However, experimental studies are still needed to validate the findings of this study.","PeriodicalId":18382,"journal":{"name":"Medicinal Chemistry","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140805993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Computational Chemistry: Prediction of Compound Accessibility of Targeted Synthesized Compounds","authors":"Visagamoorthy Babu, Sumeer Ahmed, A. K. Rahiman, Sarkar M. A. Kawsar, Malika Berredjem, Ajmal R. Bhat, K. Anver Basha","doi":"10.2174/0115734064293464240405050455","DOIUrl":"https://doi.org/10.2174/0115734064293464240405050455","url":null,"abstract":"Introduction: In the present work, a series of novel pyridine carboxamides 3(a-h) were synthesized and screened with antibacterial activity. This research explores the application of Density Functional Theory (DFT) in studying biological systems at the quantum mechanical level, particularly in the context of drug design. DFT offers a streamlined approach to quantum mechanical calculations, making it indispensable in various scientific fields, and for its exceptional accuracy, reduced computational time, and cost-effectiveness has become a pivotal tool in computational chemistry. This research work highlights the integration of DFT studies with POM analyses, which effectively identify pharmacophoric sites. Moreover, the research incorporates in silico pharmacokinetics analyses to assess the pharmacokinetic properties of synthesized compounds. The paper focused on a series of compounds previously reported, aiming to provide a comprehensive understanding of their electronic structure, pharmacophoric features, and potential as drug candidates. This study not only contributes to the evolving field of computational chemistry but also holds implications for advancing drug design processes by combining theoretical insights with practical analyses. Methods: The compounds 3(a-h) were subjected to Density Functional Theory (DFT) computations using the B3LYP/6-31G(d) basis set to get optimized geometric structures. GaussViewis used to display the contributions of the highest occupied molecular orbital (HOMO) and lowest unoccupied molecular orbital (LUMO). The determination of energy gaps was conducted using Gaussian 09W. The pharmacokinetic profiles were evaluated using existing techniques such as Osiris, Petra, and Molinspiration, as well as a novel platform called POM Analyse Results: The computational studies DFT, POM and in silico pharmacokinetics studies revealed that the studied compounds are biologically active, non-toxic, non-carcinogenic in nature and may be utilized as drug candidates. Conclusion: Density functional theory (DFT) investigations emphasize the exceptional stability of complex 3d, which possesses the biggest energy gap and the lowest softness. In contrast, compound 3h demonstrates poorer stability among the tested compounds, characterized by the lowest energy gap and the highest softness values. These findings are further substantiated by absolute energy calculations. The negligible energy difference in compound 3h indicates an increased transfer of electric charge within the molecule, which is associated with its enhanced biological effectiveness. The drug-likeness of the compounds is confirmed by POM and in silico pharmacokinetics investigations, with compound 3h being identified as the most biologically active among the investigated compounds.","PeriodicalId":18382,"journal":{"name":"Medicinal Chemistry","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140623624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Computational Study of Green Tea Extracts and their Derivatives as Potential Inhibitors for Squalene Monooxygenase","authors":"Kabelo Phuti Mokgopa, Kevin A. Lobb, Tendamudzimu Tshiwawa","doi":"10.2174/0115734064280290240211170037","DOIUrl":"https://doi.org/10.2174/0115734064280290240211170037","url":null,"abstract":"Background: According to the World Health Organisation, cardiovascular complications have been recognized as the leading course of death between 2000 and 2019. Cardiovascular complications are caused by excess LDL cholesterol in the body or arteries that can build up to form a plaque. There are drugs currently in clinical use called statins that target HMGCoA reductase. However, these drugs result in several side effects. This work investigated using computational approaches to lower cholesterol by investigating green tea extracts as an inhibitors for squalene monooxygenase (the second-rate-controlling step in cholesterol synthesis). Methods: Pharmacophore modeling was done to identify possible pharmacophoric sites based on the pIC50 values. The best hypothesis generated by pharmacophore modeling was further validated by atom-based 3D QSAR, where 70% of the data set was treated as the training set. Prior molecular docking ADMET studies were done to investigate the physiochemical properties of these molecules. Glide docking was performed, followed by molecular dynamics to evaluate the protein conformational changes. Results: Pharmacophore results suggest that the best molecules to interact with the biological target should have at least one hydrogen acceptor (A5), two hydrogen donors (D9 and D10), and two benzene rings (R14 and R15) for green tea polyphenols and theasinensin A. ADMET result shows that all molecules in this class have low oral adsorption. Molecular docking results showed that some green tea polyphenols have good binding affinities, with most of these structures having a docking score of less than -10 kcal/mol. Molecular dynamics further illustrated that the best-docked ligands perfectly stay within the active site over a 100 ns simulation. Conclusion: The results obtained from this study suggest that green tea polyphenols have the potential for inhibition of squalene monooxygenase, except for theasinensin A","PeriodicalId":18382,"journal":{"name":"Medicinal Chemistry","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140574802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Promising Potential of Curcumin and Related Compounds for Antiviral Drug Discovery","authors":"Archana Sharma, Twinkle Sharma, Rajveer Bhaskar, Monika Ola, Alok Sharma, Vijay Kumar Thakur, Prabodh Chander Sharma","doi":"10.2174/0115734064277371240325105016","DOIUrl":"https://doi.org/10.2174/0115734064277371240325105016","url":null,"abstract":": Viruses are acellular, microscopic, and mobile particles containing genetic particles, either DNA/RNA strands as nucleoproteins, responsible for 69,53,743 deaths till the year 2023. Curcumin and related compounds are among the areas of pivotal interest for researchers because of their versatile pharmacological profile. Chemically known as diferuloylmethane, which is a main constituent of turmeric along with demethoxycurcumin and bisdemethoxycurcumin, they have a broad spectrum of antiviral activity against viruses such as human immunodeficiency virus, herpes simplex virus, influenza virus (Avian influenza) and Hepatitis C virus HIV. The possible role of curcumin as an antiviral agent may be attributed to the activation of the 20S proteasome, a cellular machinery responsible for degrading unfolded or misfolded proteins in a ubiquitin-independent manner. It shows suppression of HBV entry at various infection stages by inhibiting cccDNA replication by inhibiting the Wnt/β-catenin signaling pathway to attenuate IAV-induced myocarditis.","PeriodicalId":18382,"journal":{"name":"Medicinal Chemistry","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140574801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Heterocyclic-Based Analogues against Sarcine-Ricin Loop RNA from Escherichia coli: In Silico Molecular Docking Study and Machine Learning Classifiers","authors":"Shivangi Sharma, Rahul Choubey, Manish Gupta, Shivendra Singh","doi":"10.2174/0115734064266329231228050535","DOIUrl":"https://doi.org/10.2174/0115734064266329231228050535","url":null,"abstract":"aims: To develop potential antibacterial drugs using molecular docking and machine learning approach background: A significant portion of organic chemistry, or about two-thirds of all organic substances, is devoted to heterocyclic chemistry. Carbocyclic is an organic cyclic compound that has all its carbon atoms arranged in rings. A large variety of heterocyclic compounds are designed and synthesized. The heterocyclic compounds are those cyclic molecules where one or more of the ring carbons are replaced by nitrogen, oxygen, sulfur etc. Heterocycles contain nitrogen atoms such as quinolines, indoles, pyrazine, isoindole, pyrrole, pyridine, imidazole, azocine, thiazoles, etc. (Figure 1). Synthesis is always a desirable field in organic chemistry since it demonstrates a variety of biological activities. Due to their diverse biodynamic properties, quinoline, indole, and their derivatives have a special place in the chemistry of nitrogen-containing heterocyclic molecules. The significance of indole can be documented both by the ever increasing number of publications (more than 80,000 in the 20th century) that target chemistry and by its presence in pharmaceuticals, fragrances, agrochemicals, pigments, material science, organic electronics, and natural products. objective: 1. To find out the potential protein responsible for antibacterial activity. 2. To study the interaction study of heterocyclic compounds with specific protein. 3. To optimize the molecular interaction through machine learning approach. method: Molecular docking study and Machine learning approach result: we examine the molecular coupling of drugs with heterocyclic compounds against the E. coli Sarcin-Ricin Loop RNA with an alteration of C-2667-2'-OCF3 (PDB ID: 6ZYB). These compounds in silico molecular docking analysis showed that they exhibit strong binding affinities, adequate residual interactions, and hydrogen bonding interactions with the protein Sarcin-Ricin Loop RNA from E. coli with a C-2667-2'-OCF3 alteration, indicating potential bioactivity. The binding affinity value for heterocyclic compounds 1-9 is -5.3 to -10.1 Kcal/mol. Many residues exhibit interactions with heterocyclic molecules, according to the findings of this study. Some of the identified amino acids are A:G2648, A:C2649, A:A2670, A:G2671, A:G2669, A:U2650, A:QSK2667, A:G2668, A:C2651, A:C2652, A:U2653, A:C2666, A:A2665 A:QSK2667, A:U2672, A:U2650 & A:A2654 many more. The Machine learning tool is also used to choose the best analysis of molecular descriptors. For these classifiers, molecular descriptor dataset is taken, which shows that training accuracy and testing accuracy is very high and crucial for developing similar antibacterial drugs in near future. conclusion: In the near future, powerful antibacterial treatments could be developed using heterocyclic compounds, which shows how useful it is to do research to identify potential effective antibiotic drugs. In this investigation, many software program","PeriodicalId":18382,"journal":{"name":"Medicinal Chemistry","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139677919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Systematic Review On Major Antiviral Phytocompounds from Common Medicinal Plants Against SARS-CoV-2","authors":"Suvendu Ghosh, Partha Singha, Lakshmi Kanta Das, Debosree Ghosh","doi":"10.2174/0115734064262843231120051452","DOIUrl":"https://doi.org/10.2174/0115734064262843231120051452","url":null,"abstract":"Background: Viral infections are rising around the globe and with evolving virus types and increasing varieties of viral invasions; the human body is developing antimicrobial resistance continuously. This is making the fight of mankind against viruses weak and unsecured. On the other hand, changing lifestyle, globalization and human activities adversely affecting the environment are opening up risks for new viral predominance on human race. In this context the world has witnessed the pandemic of the human Coronavirus disease (COVID-19) recently. The disease is caused by the Coronavirus namely Severe Acute Respiratory Syndrome Coronavirus 2 (SARSCoV- 2). Method and Materia: Developing potential and effective vaccine is also time consuming and challenging. The huge resource of plants around us has rich source of potent antiviral compounds. Some of these molecules may serve as tremendously potent lead molecules whose slight structural modifications may give us highly bioactive antiviral derivatives of phytocompounds. Every geographical region is rich in unique plant biodiversity and hence every corner of the world with rich plant biodiversity can serve as abode for potential magical phytocompounds most of which have not been extensively explored for development of antiviral drug formulations against various viruses like the HIV, HPV etc., and the Coronavirus, also known as SARS-CoV-2 which causes the disease COVID-19. Result: Several phytocompounds from various medicinal plants have already been screened using in silico tools and some of them have yielded promising results establishing themselves as potent lead molecules for development of drugs against the highly mutating SARS-CoV-2 virus and thus these phytocompounds may be beneficial in treating COVID-19 and help human to win the life threatening battle against the deadly virus. Conclusion: The best advantage is that these phytocompounds being derived from nature in most of the cases, come with minimum or no side effects compared to that of chemically synthesized conventional bioactive compounds and are indigenously available hence are the source of cost effective drug formulations with strong therapeutic potentials.","PeriodicalId":18382,"journal":{"name":"Medicinal Chemistry","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139678125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"4D-QSAR and MIA-QSAR Studies of Aminobenzimidazole Derivatives as Fourth-generation EGFR Inhibitors.","authors":"Xuegong Jia, Chaochun Wei, Nana Tian, Hong Yan, Hongjun Wang","doi":"10.2174/0115734064258994231106052633","DOIUrl":"10.2174/0115734064258994231106052633","url":null,"abstract":"<p><strong>Background: </strong>The epidermal growth factor receptor (EGFR) protein has been intensively studied as a therapeutic target for non-small cell lung cancer (NSCLC). The aminobenzimidazole derivatives as the fourth-generation EGFR inhibitors have achieved promising results and overcame EGFR mutations at C797S, del19 and T790M in NSCLC.</p><p><strong>Objective: </strong>In order to understand the quantitative structure-activity relationship (QSAR) of aminobenzimidazole derivatives as EGFRdel19 T790M C797S inhibitors, the four-dimensional QSAR (4D-QSAR) and multivariate image analysis (MIA-QSAR) have been performed on the data of 45 known aminobenzimidazole derivatives.</p><p><strong>Methods: </strong>The 4D-QSAR descriptors were acquired by calculating the association energies between probes and aligned conformational ensemble profiles (CEP), and the regression models were established by partial least squares (PLS). In order to further understand and verify the 4D-QSAR model, MIA-QSAR was constructed by using chemical structure pictures to generate descriptors and PLS regression. Furthermore, the molecular docking and averaged noncovalent interactions (aNCI) analysis were also performed to further understand the interactions between ligands and the EGFR targets, which was in good agreement with the 4D-QSAR model.</p><p><strong>Results: </strong>The established 4D-QSAR and MIA-QSAR models have strong stability and good external prediction ability.</p><p><strong>Conclusion: </strong>These results will provide theoretical guidance for the research and development of aminobenzimidazole derivatives as new EGFRdel19 T790M C797S inhibitors.</p>","PeriodicalId":18382,"journal":{"name":"Medicinal Chemistry","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"92155165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Antibiotic Potentiation Through Phytochemical-Based Efflux Pump Inhibitors to Combat Multidrug Resistance Bacteria.","authors":"Harveer Singh Cheema, Anupam Maurya, Sandeep Kumar, Vineet Kumar Pandey, Raman Mohan Singh","doi":"10.2174/0115734064263586231022135644","DOIUrl":"10.2174/0115734064263586231022135644","url":null,"abstract":"<p><strong>Background: </strong>Antimicrobial resistance development poses a significant danger to the efficacy of antibiotics, which were once believed to be the most efficient method for treating infections caused by bacteria. Antimicrobial resistance typically involves various mechanisms, such as drug inactivation or modification, drug target modification, drug uptake restriction, and drug efflux, resulting in decreased antibiotic concentrations within the cell. Antimicrobial resistance has been associated with efflux Pumps, known for their capacity to expel different antibiotics from the cell non-specifically. This makes EPs fascinating targets for creating drugs to combat antimicrobial resistance (AMR). The varied structures of secondary metabolites (phytomolecules) found in plants have positioned them as a promising reservoir of efflux pump inhibitors. These inhibitors act as modifiers of bacterial resistance and facilitate the reintroduction of antibiotics that have lost clinical effectiveness. Additionally, they may play a role in preventing the emergence of multidrug resistant strains.</p><p><strong>Objective: </strong>The objective of this review article is to discuss the latest studies on plant-based efflux pump inhibitors such as terpenoids, alkaloids, flavonoids, glycosides, and tetralones. It highlighted their potential in enhancing the effectiveness of antibiotics and combating the development of multidrug resistance.</p><p><strong>Results: </strong>Efflux pump inhibitors (EPIs) derived from botanical sources, including compounds like lysergol, chanaoclavine, niazrin, 4-hydroxy-α-tetralone, ursolic acid, phytol, etc., as well as their partially synthesized forms, have shown significant potential as practical therapeutic approaches in addressing antimicrobial resistance caused by efflux pumps. Further, several phyto-molecules and their analogs demonstrated superior potential for reversing drug resistance, surpassing established agents like reserpine, niaziridin, etc. Conclusion: This review found that while the phyto-molecules and their derivatives did not possess notable antimicrobial activity, their combination with established antibiotics significantly reduced their minimum inhibitory concentration (MIC). Specific molecules, such as chanaoclavine and niaziridin, exhibited noteworthy potential in reversing the effectiveness of drugs, resulting in a reduction of the MIC of tetracycline by up to 16 times against the tested strain of bacteria. These molecules inhibited the efflux pumps responsible for drug resistance and displayed a stronger affinity for membrane proteins. By employing powerful EPIs, these molecules can selectively target and obstruct drug efflux pumps. This targeted approach can significantly augment the strength and efficacy of older antibiotics against various drug resistant bacteria, given that active drug efflux poses a susceptibility for nearly all antibiotics.</p>","PeriodicalId":18382,"journal":{"name":"Medicinal Chemistry","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71424867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pyrazolo - Pyrimidines as Targeted Anticancer Scaffolds - A Comprehensive Review.","authors":"Kesavamoorthy Kandhasamy, Remya Ramachandran Surajambika, Pradeep Kumar Velayudham","doi":"10.2174/0115734064251256231018104623","DOIUrl":"10.2174/0115734064251256231018104623","url":null,"abstract":"<p><strong>Background: </strong>Globally, cancer is the leading cause of death, which causes 10 million deaths yearly. Clinically, several drugs are used in treatment but due to drug resistance and multidrug resistance, there occurs a failure in the cancer treatment.</p><p><strong>Objectives: </strong>The present review article is a comprehensive review of pyrazole and pyrimidine hybrids as potential anticancer agents.</p><p><strong>Methods: </strong>The review comprises more than 60 research works done in this field. The efficiency of the reported pyrazolopyrimidine fused heterocyclic with their biological data and the influence of the structural aspects of the molecule have been discussed.</p><p><strong>Results: </strong>This review highlighted pyrazolo-pyrimidines as targeted anticancer agents with effect on multiple targets.</p><p><strong>Conclusion: </strong>The review will be helpful for the researchers involved in targeted drugs for cancer therapy for designing new scaffolds with pyrazolo-pyrimidine moieties.</p>","PeriodicalId":18382,"journal":{"name":"Medicinal Chemistry","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"54229913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring the Therapeutic Marvels: A Comprehensive Review on the Biological Potential of Quinoline-5,8-Dione.","authors":"Neetu Agrawal, Dimple Bansal, Shilpi Pathak","doi":"10.2174/0115734064287677231215070816","DOIUrl":"10.2174/0115734064287677231215070816","url":null,"abstract":"<p><p>Quinoline-5,8-diones, also referred to as 5,8-quinolinediones or quinolinequinones, have been researched extensively for their antiproliferative effects, where they displayed great results. Other than anticancer, they exhibit multiple activities such as antimalarial, antiviral, antibacterial, and antifungal activities. Natural quinolinequinones have also been known for their significant activities. The review highlights the diverse biological activities exhibited by synthetic quinoline- 5,8-diones over the past two decades. Continued research in this field is warranted to fully exploit the therapeutic potential of these intriguing compounds and their derivatives for future drug development. By comprehensively evaluating the therapeutic applications and biological activities of quinoline-5,8-dione derivatives, this review endeavors to provide researchers and practitioners with a valuable resource that will foster informed decision-making and inspire further investigations into harnessing the immense potential of this intriguing scaffold for the benefit of human health.</p>","PeriodicalId":18382,"journal":{"name":"Medicinal Chemistry","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139087364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}