{"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}
{"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}
{"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}