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This article reviews innovative methodologies in drug discovery using computational QSAR studies and layered double hydroxides for alpha-reductase inhibitors, but reports no new experimental results.

This review outlines computational strategies, including chemogenomics and drug repositioning, for coronavirus drug discovery and reports no new clinical findings; the authors highlight the advantages of these methods in rapidly identifying therapeutic candidates.

This study designed a novel model for 5a-reductase enzyme inhibitors using pharmacophore and 3D QSAR techniques, potentially allowing for improved prediction and development of drug therapies targeting benign prostatic hyperplasia.

This study explored the optimization of phytochemicals from Alstonia boonei to develop potential 5-alpha reductase inhibitors for Benign Prostatic Hyperplasia, finding promising analogs with enhanced binding affinity and stability compared to Finasteride, warranting further experimental validation.

This study used Density Functional Theory-based computational methods to analyze finasteride's molecular properties, finding that the GGA/PW91 method closely matches experimental data for vibrational frequencies and geometric parameters.