June 2026 in “Mendeley Data” This source presents the Drug Database for Hair Loss Disorders, offering comprehensive details about pharmacological agents for treating hair loss conditions, including information on chemical properties, efficacy, and safety, aimed at supporting research and drug development.
June 2026 in “Mendeley Data” This study introduced the Drug Database for Hair Loss Disorders, which provides comprehensive details on pharmacological agents used to treat hair loss conditions, aiding research and development efforts in drug companies through accessible chemical properties, mechanisms, and efficacy data.
2 citations
,
November 2018 in “Indian Journal of Pharmaceutical Education” 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.
153 citations
,
November 2004 in “Current Medicinal Chemistry” This article updates a prior work on pharmacophore modeling and highlights the advances in 3D database searching technologies for drug design, without presenting new research findings.
April 2019 in “Molecular Informatics” This study employed multiple linear regressions to analyze hydantoin analogues and produced a model with strong predictive abilities for designing new androgen receptor modulators.