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This study generated a pharmacophoric model for both isoforms of steroidal 5α-reductase using 6-azasteroids, providing a structural framework for designing new inhibitors.

This study employed multiple linear regressions to analyze hydantoin analogues and produced a model with strong predictive abilities for designing new androgen receptor modulators.

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 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 presented a new two-dimensional model that successfully predicts transdermal permeation of caffeine, highlighting the significant role of the follicular pathway in increasing systemic bioavailability.

This study used machine learning to develop classifiers for identifying effective inhibitors of 5α-reductase isozyme 2, achieving high performance in distinguishing potent from weak inhibitors.

This study identified eight isoflavone derivatives as potential nonsteroidal inhibitors of rat 5α-reductase using a pharmacophore model in virtual screening.

This study analyzed the geometric and electronic properties of baicalin conformers, finding that BCLa2TT and BCLa1TT conformers exhibit high stability in aqueous solutions and are favorable for interactions with positively charged species.

This study reported that AutoML effectively modeled itching and pain development, as well as app use, in patients with chronic eczema or psoriasis using a smartphone monitoring app, revealing that factors like BMI, age, and disease activity significantly influenced app engagement.

This study estimated the starting dose range for a finasteride long-acting injectable formulation in humans, suggesting that 16.80 mg may be the optimal starting dose.

This study highlights the role of bioinformatics and in-silico studies for identifying drug targets, specifically in herbal drugs, using software and modern techniques to analyze data and model disease pathways before later-stage in vivo and in vitro testing.

This study suggests that specific structural features of minoxidil analogs, such as hydrophobic and hydrogen bond field contributions, are key to enhancing lysyl hydroxylase inhibitory activity, which could inform future hair growth treatments.

This study reported that dutasteride, identified through a drug repurposing strategy, showed the potential to reduce neuroinflammation and cognitive impairment in LPS-stimulated models.

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.

This study found that several preservatives, including triclocarban and triclosan, showed potential endocrine-disrupting effects on various nuclear receptors in both in silico and in vitro models.

This article reviews the traditional uses of Citrullus colocynthis for various conditions like cancer and jaundice but reports no new clinical results, underscoring its role in folk medicine.

This study developed a deep learning-based method that identified 3,620,516 potential drug-disease associations, suggesting a promising tool for large-scale virtual screening in drug research.

This study used homology modeling to create a detailed in silico structure of 5α-reductase type II, suggesting it can aid in designing steroid reductase drugs.

This study reports that the new neighborhood face index (NFI) demonstrates a remarkably high correlation with the physiochemical properties of benzenoid hydrocarbons, highlighting its potential as a predictive tool.

This review examines the role of steroidal inhibitors in treating prostatic diseases but presents no new clinical results.

This study found that an optimized microemulsion for minoxidil with high solubility, permeation flux, and skin deposition can be achieved with specific low and high levels of certain surfactants and co-solvents.

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.

This study developed a new analytical method to identify a wide range of endocrine disrupting compounds in full-term amniotic fluid, revealing diverse substances with potential endocrine activity.

This study found that nano-sized minoxidil formulations significantly increased skin penetration and follicular drug delivery for alopecia areata treatment, compared to conventional ethanol-based solutions, and demonstrated effective controlled release over six hours.

In this study, the researchers reported that while both propylene glycol and sodium lauryl sulfate enhanced finasteride's skin deposition, ethanol was the only effective enhancer of finasteride's permeation through the skin.

This study identified 30 new compounds with significant androgen receptor binding affinity through a combination of virtual screening and in vitro testing.

This study identified several compounds from traditional Chinese medicines that may inhibit prostaglandin D2 synthase, potentially providing promising candidates for treating androgenic alopecia with minimal adverse skin reactions.

This study suggests that natural molecules like curcumin, EGCG, barringtozenol, and finasteride may be effective inhibitors for VEGFR, potentially offering a cancer chemoprevention alternative to pazopanib.

This review discusses the potential use of liposomal formulations to enhance the effectiveness of cosmeceutical delivery through the skin barrier, with no new clinical results reported.