Herbal informatics approach for targeting nosocomial infections caused by Klebsiella pneumoniae

Abstract

The classical herbal bioprospection is identification of herbal medicinal plants based on its ethnopharmacological importance, as testified in ancient literature or otherwise in clinical literature of various countries. This process is time consuming, tedious, generally observation or experience based, and might lack scientifically evident and validated proofs. Evolution of new techniques of deploying dynamic search protocols, priority indexing, systemic categorization and cross-verification could be referred to as an in silico bioprospection tool. The parallel research efforts globally on both herbals and antimicrobials provides enormous web based data that requires to be filtered systematically towards a logical conclusion for further in vitro and in vivo validation. The present study aims to simulate the above referred models utilizing in silico herbal bioprospection modeling, literature based parameter selection, priority indexing using random search model, scoring and decision matrix based analysis followed by optimization and validation.