Evidence Hub

Synthesis and anti-microbial evaluation with in silico studies of novel 2-aminothiazole benzohydrazide derivatives

S. Amrutha, Paramita Das, Anjali Nayak, Supratip Laha, Sharmina Begum, Sakshi Bhardwaj

Future Journal of Pharmaceutical Sciences, 2025

4 citations

Abstract

Abstract Background The development of novel anti-microbial drugs for multidrug-resistant (MDR) is a significant challenge. This study aimed to synthesize various derivatives of (Z)-4-(2-aminothiazol-5-yl)-N-benzohydrazide (DT01-DT10) that are effective against a wide variety of anti-bacterial and antifungal pathogens. Results The binding energy of the compounds ranged from − 9.0 to − 10.0 kcal/mol. Molecular simulations produced a major result in improving the representation of the real biological conditions with an average RMSD of 0.110 nm. The derivatives DT03, DT04, and DT06 showed overall good anti-microbial activity at lower concentrations of 1.8 µg/ml. Compound DT03 showed significant activity against Gram-positive, Gram-negative bacteria and fungal strains, with inhibition zone diameters of 17, 19 and 16 mm, respectively. Compound DT04 showed promising anti-bacterial effects against S.mutans and C.albicans , with inhibition zone diameters of 18 and 17 mm, and moderate activity against B. cereus . Compound DT06 showed enhanced activity against P.aeruginosa . Conclusion The derivative 4-(2-amino-1,3-thiazol-5-yl)-N′-(Z)-(2-nitrophenyl) methylidene benzohydrazide (DT06), which contained a nitro group displayed potent activity at 1.8 µg/ml with an IC 50 of 50.31 and a selectivity index of 61.33. Graphical abstract

How strong is the evidence?

Evidence Hub reads this as a simulation / modelling, done in computer models (in silico), not in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free