Pub Date : 2024-05-21DOI: 10.25081/rip.2024.v14.8807
Pranjal Sachan, Meenakshi Goswami, Kavita Goswami
The nutritional and various medical benefits of Moringa oleifera have been recognized for ages in a variety of habitats and introduced areas. A common tree in many tropical and subtropical nations is the M. oleifera. It belongs to the family Moringaceae. Various plant parts, including the leaves, roots, seeds, fruit, bark, flowers, and immature pods, it is used as analgesic, antioxidant, antibacterial, anticancer, antipyretic, anti-inflammatory, antiulcer, antispasmodic, diuretic, and antihypertensive properties both humans and animals can benefit from eating Moringa leaves. M. oleifera is a plant whose many components are used to make traditional human meals. Protein, vitamins A, B, and C, as well as minerals, are all abundant in Moringa leaves. Up to 25% of M. oleifera leaf is made up of crude protein. Various M. oleifera plant components, including leaves, fruits, immature pods, and flowers, are grown in many tropical and subtropical nations.
很久以来，人们就已经认识到油辣木树在各种栖息地和引进地区的营养和各种医疗功效。油茶树是许多热带和亚热带国家的常见树种。它属于桑科。它的植物部分多种多样，包括叶、根、种子、果实、树皮、花和未成熟的豆荚，具有镇痛、抗氧化、抗菌、抗癌、解热、消炎、抗溃疡、解痉、利尿和降压等功效，人类和动物都可以从食用辣木叶中获益。油麻属植物的许多成分都被用来制作人类的传统食物。蛋白质、维生素 A、B 和 C 以及矿物质在辣木叶中含量丰富。粗蛋白含量高达 25%。许多热带和亚热带国家都种植油麻属植物的各种成分，包括叶片、果实、未成熟的豆荚和花朵。
{"title":"Moringa oleifera (Moringaceae) an in-depth review of its nutritional classification and therapeutic application","authors":"Pranjal Sachan, Meenakshi Goswami, Kavita Goswami","doi":"10.25081/rip.2024.v14.8807","DOIUrl":"https://doi.org/10.25081/rip.2024.v14.8807","url":null,"abstract":"The nutritional and various medical benefits of Moringa oleifera have been recognized for ages in a variety of habitats and introduced areas. A common tree in many tropical and subtropical nations is the M. oleifera. It belongs to the family Moringaceae. Various plant parts, including the leaves, roots, seeds, fruit, bark, flowers, and immature pods, it is used as analgesic, antioxidant, antibacterial, anticancer, antipyretic, anti-inflammatory, antiulcer, antispasmodic, diuretic, and antihypertensive properties both humans and animals can benefit from eating Moringa leaves. M. oleifera is a plant whose many components are used to make traditional human meals. Protein, vitamins A, B, and C, as well as minerals, are all abundant in Moringa leaves. Up to 25% of M. oleifera leaf is made up of crude protein. Various M. oleifera plant components, including leaves, fruits, immature pods, and flowers, are grown in many tropical and subtropical nations.","PeriodicalId":510436,"journal":{"name":"Research in Pharmacy","volume":"121 15","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141115648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
One of the promising classes of compounds in medicinal chemistry and drug design is those with azomethine linkages. The Chalcone-Schiff base hybrids contain this linkage and some heteroatoms, which are versatile molecules, play a vital role in drug discovery and development with enormous therapeutic applications. In this view, the present work deals with the investigation of the in silico biological potential of the Chalcone-Schiff base hybrids based on the network pharmacology approach. From the results obtained from network pharmacology, the Cyclin-dependent kinase (CDK) isoforms were identified as the potential targets and the CDK inhibitory activity of the compounds was investigated using molecular docking studies. The in silico pharmacokinetic, metabolic and theoretical studies at DFT level were performed. Molecular docking studies revealed that the compounds have better CDK inhibitory potential with better binding affinity and interaction profile. Among the tested compounds, (Z)-2-((4,6-diphenyl-5,6-dihydro-4H-1,3-thiazin-2-yl)imino)-2,3-dihydro-1H-inden-1-one was found to be the most active compound than the standards, palbociclib and dinaciclib against the CDK isoforms (CDK1, CDK2 and CDK4) with the binding energies of -9.9, -10.3 and -10 Kcal/Mol, respectively. Also, this compound exhibited better pharmacokinetic and metabolic properties along with better solubility. The theoretical studies at the DFT level also indicate that the compound has better metabolic stability and the electron transfer from HOMO to LUMO was observed. Thus, the tested Chalcone-Schiff base hybrids can be used effectively for the inhibition of CDK isoforms.
{"title":"Graph theoretical analysis, pharmacoinformatics and molecular docking investigation of Chalcone-Schiff base hybrids as Cyclin-Dependent kinase inhibitors","authors":"Praveen Sekar, Sathishkumar Arivanantham, Pavithra Jaishankar, Naveena Sundhararajan, Yogadharshini Nagalingam, Senthil Kumar Raju","doi":"10.25081/rip.2024.v14.8801","DOIUrl":"https://doi.org/10.25081/rip.2024.v14.8801","url":null,"abstract":"One of the promising classes of compounds in medicinal chemistry and drug design is those with azomethine linkages. The Chalcone-Schiff base hybrids contain this linkage and some heteroatoms, which are versatile molecules, play a vital role in drug discovery and development with enormous therapeutic applications. In this view, the present work deals with the investigation of the in silico biological potential of the Chalcone-Schiff base hybrids based on the network pharmacology approach. From the results obtained from network pharmacology, the Cyclin-dependent kinase (CDK) isoforms were identified as the potential targets and the CDK inhibitory activity of the compounds was investigated using molecular docking studies. The in silico pharmacokinetic, metabolic and theoretical studies at DFT level were performed. Molecular docking studies revealed that the compounds have better CDK inhibitory potential with better binding affinity and interaction profile. Among the tested compounds, (Z)-2-((4,6-diphenyl-5,6-dihydro-4H-1,3-thiazin-2-yl)imino)-2,3-dihydro-1H-inden-1-one was found to be the most active compound than the standards, palbociclib and dinaciclib against the CDK isoforms (CDK1, CDK2 and CDK4) with the binding energies of -9.9, -10.3 and -10 Kcal/Mol, respectively. Also, this compound exhibited better pharmacokinetic and metabolic properties along with better solubility. The theoretical studies at the DFT level also indicate that the compound has better metabolic stability and the electron transfer from HOMO to LUMO was observed. Thus, the tested Chalcone-Schiff base hybrids can be used effectively for the inhibition of CDK isoforms.","PeriodicalId":510436,"journal":{"name":"Research in Pharmacy","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140375364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-14DOI: 10.25081/rip.2023.v13.8632
Meenakshi Goswami, Pranjal Sachan, Kavita Goswami
The use of computers and other technologies to replicate human-like intelligent behaviour and critical thinking is known as artificial intelligence (AI).The development of AI-assisted applications and big data research has accelerated as a result of the rapid advancements in computing power, sensor technology, and platform accessibility that have accompanied advances in artificial intelligence. AI models and algorithms for planning and diagnosing endodontic procedures. The search engine evaluated information on artificial intelligence (AI) and its function in the field of endodontics, and it also incorporated databases like Google Scholar, PubMed, and Science Direct with the search criterion of original research articles published in English. Online appointment scheduling, online check-in at medical facilities, digitization of medical records, reminder calls for follow-up appointments and immunisation dates for children and pregnant women, as well as drug dosage algorithms and adverse effect warnings when prescribing multidrug combinations, are just a few of the tasks that already use artificial intelligence. Data from the review supported the conclusion that AI can play a significant role in endodontics, including the identification of apical lesions, classification and numbering of teeth, detection of dental caries, periodontitis, and periapical disease, diagnosis of various dental problems, aiding dentists in making referrals, and helping them develop more precise treatment plans for dental disorders. Although artificial intelligence (AI) has the potential to drastically alter how medicine is practised in ways that were previously unthinkable, many of its practical applications are still in their infancy and need additional research and development. Over the past ten years, artificial intelligence in ophthalmology has grown significantly and will continue to do so as imaging techniques and data processing algorithms improve.
利用计算机和其他技术来复制类似人类的智能行为和批判性思维被称为人工智能（AI）。伴随着人工智能的进步，计算能力、传感器技术和平台可访问性也在快速发展，因此人工智能辅助应用和大数据研究的发展也在加速。用于规划和诊断牙髓治疗程序的人工智能模型和算法。该搜索引擎评估了有关人工智能（AI）及其在牙髓病学领域的功能的信息，还纳入了谷歌学术、PubMed 和 Science Direct 等数据库，搜索标准是以英文发表的原创研究文章。在线预约安排、医疗机构在线签到、医疗记录数字化、儿童和孕妇复诊和免疫接种日期提醒电话，以及开具多药联合处方时的药物剂量算法和不良反应警告，这些只是已经使用人工智能的任务中的一小部分。审查数据支持这样的结论，即人工智能可以在牙髓病学中发挥重要作用，包括根尖病变的识别、牙齿的分类和编号、龋齿、牙周炎和根尖周病的检测、各种牙科问题的诊断、帮助牙医进行转诊，以及帮助他们制定更精确的牙科疾病治疗计划。尽管人工智能（AI）有可能以以前无法想象的方式彻底改变医学的实践方式，但其许多实际应用仍处于起步阶段，需要更多的研究和开发。在过去十年中，眼科领域的人工智能得到了长足发展，随着成像技术和数据处理算法的改进，人工智能还将继续发展。
{"title":"Artificial intelligence applications in disease diagnosis and treatment: recent progress and outlook","authors":"Meenakshi Goswami, Pranjal Sachan, Kavita Goswami","doi":"10.25081/rip.2023.v13.8632","DOIUrl":"https://doi.org/10.25081/rip.2023.v13.8632","url":null,"abstract":"The use of computers and other technologies to replicate human-like intelligent behaviour and critical thinking is known as artificial intelligence (AI).The development of AI-assisted applications and big data research has accelerated as a result of the rapid advancements in computing power, sensor technology, and platform accessibility that have accompanied advances in artificial intelligence. AI models and algorithms for planning and diagnosing endodontic procedures. The search engine evaluated information on artificial intelligence (AI) and its function in the field of endodontics, and it also incorporated databases like Google Scholar, PubMed, and Science Direct with the search criterion of original research articles published in English. Online appointment scheduling, online check-in at medical facilities, digitization of medical records, reminder calls for follow-up appointments and immunisation dates for children and pregnant women, as well as drug dosage algorithms and adverse effect warnings when prescribing multidrug combinations, are just a few of the tasks that already use artificial intelligence. Data from the review supported the conclusion that AI can play a significant role in endodontics, including the identification of apical lesions, classification and numbering of teeth, detection of dental caries, periodontitis, and periapical disease, diagnosis of various dental problems, aiding dentists in making referrals, and helping them develop more precise treatment plans for dental disorders. Although artificial intelligence (AI) has the potential to drastically alter how medicine is practised in ways that were previously unthinkable, many of its practical applications are still in their infancy and need additional research and development. Over the past ten years, artificial intelligence in ophthalmology has grown significantly and will continue to do so as imaging techniques and data processing algorithms improve.","PeriodicalId":510436,"journal":{"name":"Research in Pharmacy","volume":"167 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139180146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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