Биохимия и аналитическая биохимия

Абстрактный

Targeting Antibiotic Resistant Salmonella enterica: Bio-matrix Based Selection and Bioactivity Prediction of Potential Nutraceuticals

Ankit Tanwar, Pallavi Thakur, Raman Chawla, Sarita Jaiswal , Ankita Singh Chakotiya , Rajeev Goel, Rakesh Kumar Sharma, Haider Ali Khan and Rajesh Arora

Aim: Potential herbal leads as novel therapeutic alternatives against Multi-Drug Resistant Salmonella enterica serovar typhimurium were investigated and validated by mol inspiration.

Methodology: The present study utilizes an in silico ‘Herbal Informatics’ model which deploys dynamic search protocols, priority indexing and systemic categorization for rationale based selection of nutraceuticals targeting the critical virulence factors of Multi-Drug Resistant Salmonella enterica serovar typhimurium. Furthermore, in silico biochemical activity prediction was conducted using ‘Mol inspiration’ chemiinformatics tool, so as to propose the drug likeliness of selected natural plant products.

Results: Out of the 05 selected bioactivity parameters of Salmonella enterica, lipo-polysaccharide inhibition exhibited maximum relevance as physiological target i.e., 65%, followed by other parameters like enterochelin inhibition, Type III secretory system inhibition, Superoxide dismutase inhibition and Symptomatic relief provision. The binary matrix analysis of database of 50 plants identified using classical bioprospection filtered 28 herbals which exhibited probable potential to mitigate 03 or more virulence factors. The weightage matrix analysis further scrutinized the selection upto 10 herbals having a score more than median weightage matrix score i.e., 14.98. The optimization of data on a scale of 0-1 using fuzzy score matrix analysis led to the final selection of 10 herbals i.e., Abrus precatorius, Azadirachta indica, Camellia sinensis, Holarrhena antidysenterica, Andrographis paniculata, Adhatoda vasica, Euphorbia hirta, Ocimum sanctum, Terminalia arjuna and Terminalia belerica. In silico Bioactivity prediction analysis of predominant phytoconstituents of selected herbals revealed Holarrhena antidysenterica (Conessine), Andrographis paniculata (Andrographolide), Euphorbia hirta (Amyrin) and Terminalia arjuna (Arjunolic acid) exhibiting drug likeliness with their targeted action as a GPCR Ligand, Nuclear Receptor Ligand or Protease inhibitor.