Evidence Hub

In silico Rational Designing, Synthesis, Characterization, and Biological Evaluation of Novel Pyrazole Derivatives as Potential Anti-Cancer and Anti-Microbial Agents

Sangeeta Narwal, Tilak Dhanda, Bhagwati Devi

Journal of Neonatal Surgery, 2025

Abstract

Pyrazole derivatives have garnered significant attention in medicinal chemistry due to their diverse pharmacological activities, including anti-cancer and anti-microbial properties. This study focuses on the in silico rational design, synthesis, and characterization of a series of novel pyrazole-based compounds aimed at addressing microbial resistance and cancer proliferation. Using Schrödinger software suite, molecular docking against matrix metalloproteinase-9 (MMP-9, PDB ID: 6ESM) identified promising leads with binding energies ranging from -7.2 to -9.1 kcal/mol. Fifteen pyrazole derivatives were synthesized via multi-component reactions, achieving yields of 65-92%. Characterization via FTIR, 1H-NMR, 13C-NMR, and HRMS confirmed structural integrity. In vitro anti-microbial assays against Gram-positive (Staphylococcus aureus) and Gram-negative (Escherichia coli) bacteria, as well as fungi (Candida albicans), revealed MIC values as low as 3.12 µg/mL for compound 6. Anti-cancer evaluation on MCF-7 (breast) and HCT-116 (colon) cell lines showed IC50 values of 4.5-12.3 µM, with compound 6 exhibiting superior potency. Pharmacokinetic predictions indicated favorable drug-likeness (Lipinski's rule compliance) and bioavailability scores >0.55. These findings underscore the potential of these pyrazoles as dual-action therapeutic agents, warranting further in vivo studies

How strong is the evidence?

Evidence Hub reads this as a simulation / modelling, done in cell cultures (in vitro) and 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