CONCLUSION: Therefore, the properties and applications of polymer conjugated GNPs are studied widely as overviewed here.
OBJECTIVE: In this overview, different advantages of the drug encapsulated nanoparticle for the downstream applications are narrated with its appealing characteristics.
CONCLUSION: The application of the drug encapsulated nanoparticle is unrestricted as it can be customized to the specific target cell in the living system.
METHOD: We undertook a search of bibliographic databases for peer-reviewed research literature and also summarized our published results in this field.
RESULTS: The present review focuses on novel diagnostic and therapeutic strategies in details which can provide access to management and treatment of Acanthamoeba keratitis. This coupled with the recently available genome sequence information together with high throughput genomics technology and innovative approaches should stimulate interest in the rational design of preventative and therapeutic measures. Current treatment of Acanthamoeba keratitis is problematic and often leads to infection recurrence. Better understanding of diagnosis, pathogenesis, pathophysiology and therapeutic regimens, would lead to novel strategies in treatment and prophylaxis.
OBJECTIVE: This study aimed to evaluate the research output of the top 100 publications and further identify a research theme of breast cancer and machine-learning studies.
METHODS: Databases of Scopus and Web of Science were used to extract the top 100 publications. These publications were filtered based on the total citation of each paper. Additionally, a bibliometric analysis was applied to the top 100 publications.
RESULTS: The top 100 publications were published between 1993 and 2019. The most productive author was Giger ML, and the top two institutions were the University of Chicago and the National University of Singapore. The most active countries were the USA, Germany and China. Ten clusters were identified as both basic and specialised themes of breast cancer and machine learning.
CONCLUSION: Various countries demonstrated comparable interest in breast cancer and machine-learning research. A few Asian countries, such as China, India and Singapore, were listed in the top 10 countries based on the total citation. Additionally, the use of deep learning and breast imaging data was trending in the past 10 years in the field of breast cancer and machine-learning research.
INTRODUCTION: Cyclooligopeptides and depsipeptides, particularly cyanobacteria-derived thiazoline-based polypeptides (CTBCs), exhibit a wide array of pharmacological activities due to their unique structural features and interesting bioactions, which furnish them as promising leads for drug discovery.
METHODS: In the present study, we comprehensively review the natural sources, distinguishing chemistries, and pertinent bioprofiles of CTBCs. We analyze their structural peculiarities counting the mode of actions for biological portrayals which render CTBCs as indispensable sources for emergence of prospective peptide-based therapeutics. In this milieu, metal organic frameworks and their biomedical applications are also briefly discussed. To boot, the challenges, approaches, and clinical status of peptide-based therapeutics are conferred.
RESULTS: Based on these analyses, CTBCs can be appraised as ideal drug targets that have always remained a challenge for traditional small molecules, like those involved in protein- protein interactions or to be developed as potential cancer-targeting nanomaterials. Cyclization-induced reduced conformational freedom of these cyclooligopeptides contribute to improved metabolic stability and binding affinity to their molecular targets. Clinical success of several cyclic peptides provokes the large library-screening and synthesis of natural product-like cyclic peptides to address the unmet medical needs.
CONCLUSION: CTBCs can be considered as the most promising lead compounds for drug discovery. Adopting the amalgamation of advanced biological and biopharmaceutical strategies might endure these cyclopeptides to be prospective biomolecules for futuristic therapeutic applications in the coming times.