Current Topics in Chemistry - Volume 5, Issue 1, 2025
Volume 5, Issue 1, 2025
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Green Synthesis of Multi-Functional Carbon Dots and their Applications
Authors: Shubhrat Maheshwari, Amita Verma and Aditya SinghCarbon Quantum Dots (CQDs) are a promising class of nanomaterials with unique optical properties, making them highly suitable for applications in bioimaging, drug delivery, and sensors. However, traditional synthesis methods often rely on toxic precursors and harsh conditions, raising concerns about environmental sustainability and safety. To address these issues, green synthesis methods have garnered attention as eco-friendly alternatives, utilizing renewable resources such as plant extracts, biomass, and waste materials. These sustainable approaches not only minimize environmental impact but also enhance the functional properties of CQDs, making them more suitable for biomedical and technological applications. The green synthesis of CQDs typically involves hydrothermal or solvothermal processes, where renewable precursors are converted into CQDs under mild conditions. This results in CQDs with excellent photoluminescence, stability, and biocompatibility, which are essential for their integration into practical applications. Moreover, the use of natural compounds during synthesis can impart bioactive properties to CQDs, expanding their potential for cancer therapy, environmental monitoring, and photocatalysis. Despite the progress in green synthesis, challenges remain in optimizing the synthesis parameters and scaling up production for industrial use. Future research should focus on refining these methods to improve yield, enhance the functional properties of CQDs, and reduce the environmental impact associated with their production. This review underscores the significance of green synthesis approaches in the development of CQDs, highlighting key techniques such as hydrothermal and solvothermal methods and exploring their potential applications in various fields. The promising advances in green synthesis position CQDs as a sustainable solution for numerous technological and biomedical applications.
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Mycobacterium Energy Metabolism as a Promising Target for Anti-TB Drugs
Authors: Baljeet Kaur, Savita Sharma, Ishita Chauhan and Monika GuptaThe most prevalent infectious disease that affects the respiratory system is tuberculosis. The treatment for tuberculosis includes a combination of multiple antibiotics, including ethambutol, pyrazinamide, and rifampicin, which must be administered over an extended duration to effectively eliminate the mycobacteria. The main aim of the present work was to review the mechanisms and structural features of small molecules that affect mycobacterial ATP synthesis and ATP homeostasis. The mycobacteria can produce ATP in both aerobic and hypoxic environments. The enzyme ATP synthase is necessary for ATP production in both latent and developing mycobacteria. Research indicates that ATP synthase targeting small chemical compounds exhibits efficacy against latent and resistant forms of tuberculosis. The significance of mycobacterial energy metabolism as a potential target for anti-TB medications was highlighted by the FDA-approved ATP synthase inhibitor bedaquiline and a clinical candidate Q203, which interfered with the cytochrome bc1 complex of ATP synthase.
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Advancing Antiviral Therapeutic Strategies: Addressing the Global Health Challenge of the Monkeypox Outbreak
Authors: Afzal Hussain and Ashfaq HussainAs of mid-2024, researchers had identified approximately 85,000 instances of the monkeypox virus (MPXV), posing a serious hazard to public health. This letter offers a thorough analysis of the available antiviral treatments, emphasizing tecovirimat as the main course of action. Disparities in access continue despite its shown efficacy, which raises death rates in endemic areas, such as sub-Saharan Africa. The use of two further potential therapies, brincidofovir and cidofovir, has been limited due to toxicity concerns. The letter also calls for increased clinical research, equitable antiviral medication distribution, and combination therapy studies to address rising drug resistance.
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Alternative Synthesis of Acetyl Salicylic Acid: Assessment of Antimicrobial, Anti-Inflammatory and Antioxidant Activities
Authors: Archita Bhattacharyya, Anuradha Rohinkar, Shital Mahakal, Parth Patel and Surbhi B. JoshiIntroductionMany approaches to the synthesis of acetylsalicylic acid have been explored, and improvements in its production are evident.
MethodsIn this work, the synthesis of Acetylsalicylic acid was conducted economically and effectively with iPAs (iso-propenyl acetate).
Results and DiscussionThe resulting product was characterized by 1H NMR, 13C NMR, IR, and mass. Studies were conducted on its antioxidant, antimicrobial, and anti-inflammatory properties.
ConclusionThe present work can be a substitute method for synthesizing Acetylsalicylic acid.
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Advancements in AI for Protein Structure Prediction: Impact on Cancer Drug Discovery and Development: A Systematic Review
Authors: Kavya Singh, Ashish Prabhu and Navjeet KaurIntroductionRecent developments in artificial intelligence-driven tools are drastically changing drug research and developmental scenarios, especially in the area of structural protein predictions. This review aims to examine the impact that recent advancements (AI) in protein structure prediction have had on drug developmental processes, with an initial emphasis on studies related to cancer and other diseases.
ObjectiveThe main objective of the article is how these technical advancements, such as AlphaFold2, as an example, are transforming our knowledge of the functional and structural changes in proteins that underlie cancer and enhance our defence against them.
MethodsThe structured literature review, with its dependable and reproducible research process, allowed the authors to acquire 95 peer-reviewed publications from indexing databases, such as Scopus, ScienceDirect, Web of Science (WoS), PubMed, and EMBASE by utilizing PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) regulations. Numerous keyword combinations regarding AI tools and their role in structural biology were used to create the query syntax.
ResultsRequests for search codes on five online archives served as the foundation for the review article selection procedure. The search request yielded 1,643 articles; however, only 1,553 articles remained when duplicates were removed, and 1,345 papers were excluded by the screening process. After screening 208 papers, we decided to focus our review study on 95 reputable publications.
ConclusionAI applications in computational biology have reached a significant milestone with AF2, which initiated the process and has demonstrated exceptional performances in forecasting protein structures. By accurately predicting protein structures, these AI techniques can expedite the development process of new cancer treatments and medicines, and more efficiently detect and verify new targets for drugs, especially for those having no extensive structural knowledge.
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