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Objective: Development of antimicrobial materials using nano approach and several industries like aquaculture greatly depend on novel biogenic materials. Biogenic techniques to develop nanomaterials with potent antimicrobial activity have been explored recently. The present study demonstrates the green synthesis of AgNPs using butter fruit (Persea americana) pulp extract and its antibacterial efficacy against the fish pathogen Providencia vermicola using Rohu fish. Results: The AgNPs were prepared and characterized using various spectroscopic and microscopic techniques. The infrared spectroscopic analysis identified that the fruit biological molecules were involved in the stabilization of AgNPs. Transmission electron microscopic analysis revealed that particles size ranged from 20 to 50 nm. Further, the nanoparticles (5 µg) encapsulated fish feed were given to P. vermicola infected Rohu fish. The survival rate observed was 72 % in experimental group as compared to the control group. Total plate count and histopathological results indicated that the AgNPs treated groups showed significant reduction of bacterial population and restore the tissues in the normal range. Conclusion: The results suggest that the green synthesized (AgNPs) using butter fruit pulp have good efficiency in reducing the infection caused by P. vermicola in Rohu fish.

Objectives: The objective of this work was to predict anti-colon and anti-hepatoma cancer activity of newly designed substituted 4-anilino coumarin derivatives using quantitative structure–activity relationship (QSAR). Methods: The optimization of the derivatives including molecular and electronic properties data to generate the QSAR were resulted from H-GGA DFT/BPV86 method calculation combined with Hartree-Fock 6-31G basis set. The QSAR models were delivered in multiple linear regression (MLR) and the drug design was accomplished by considering the descriptors constructing the best QSAR models for each biological activity. Results: This research accomplished two best validated QSAR models for predicting anti-colon cancer and anti-hepatoma activities of substituted 4-anilino coumarin derivatives. There were 17 of newly designed substituted 4-anilino coumarin derivatives which their anticancer activity (Log IC50) were predicted using our both QSAR models. The QSAR predictions inform that the compound 25 and compound 19 have the best predicted anti-colon cancer and anti-hepatoma activities, respectively. Conclusion: The results revealed that this approach can be used to assist in the action of anticancer drug discovery. Moreover, the retrosynthesis analysis of both compounds are also explained in a logic reverse of organic synthetic steps through Knoevenagel and Perkin reactions.