Fish hook technique for nucleus management in manual small-incision cataract surgery: An Overview.

Manual small-incision cataract surgery (MSICS) preserves its utility as a cost-effective and efficient strategy for mitigating cataract-associated blindness. Numerous techniques of nucleus delivery in MSICS have been described in the literature. The fish hook technique of nucleus extraction was advocated in 1997 and has been popular for high-volume surgery in limited pockets of the world. This article describes in detail the steps involved in the construction of a fish hook, tips of nucleus extraction with the help of a fish hook, and the pros and cons of fish hook-based MSICS through text, diagram, and video supplement.

Network-based Drug Repurposing: A Critical Review.

New drug development for a disease is a tedious, time-consuming, complex, and expensive process. Even if it is done, the chances for success of newly developed drugs are still very low. Modern reports state that repurposing the pre-existing drugs will have more efficient functioning than newly developed drugs. This repurposing process will save time, reduce expenses and provide more success rate. The only limitation for this repurposing is getting a desired pharmacological and characteristic parameter of various drugs from vast data about medications, their effects, and target mechanisms. This drawback can be avoided by introducing computational methods of analysis. This includes various network analysis types that use various biological processes and relationships with various drugs to simplify data interpretation. Some of the data sets now available in standard, and simplified forms include gene expression, drug-target interactions, protein networks, electronic health records, clinical trial results, and drug adverse event reports. Integrating various data sets and interpretation methods allows a more efficient and easy way to repurpose an exact drug for the desired target and effect. In this review, we are going to discuss briefly various computational biological network analysis methods like gene regulatory networks, metabolic networks, protein-protein interaction networks, drug-target interaction networks, drugdisease association networks, drug-drug interaction networks, drug-side effects networks, integrated network-based methods, semantic link networks, and isoform-isoform networks. Along with this, we briefly discussed the drug's limitations, prediction methodologies, and data sets utilised in various biological networks for drug repurposing.