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This study provides insight into AR-mediated gene activation and the molecular mechanisms of prostate cancer progression and drug resistance, identifying potential avenues for developing new therapies.

This study identified several compounds, including Pictilisib and Nimorazole, that may have higher binding affinity for SARS-CoV-2 main protease than existing inhibitors, potentially offering new treatment alternatives for Covid-19.

This study developed and validated a label-free assay using LC-MS to screen for S5αR inhibitors, identifying Thai herbal extracts, Impatiens balsamina L. and Curcuma longa L., as promising sources.

In this study, researchers developed a sensitive assay to measure the inhibition of steroid 5-α reductase (5AR) by chemicals like finasteride and dutasteride, revealing species-specific differences in inhibitor efficacy between human and fish cell lines.

This review discusses the medicinal chemistry of steroid sulfatase inhibitors for estrogen- and androgen-dependent disorders but reports no new clinical results.

This study describes the development of a prototype clinical expert system that uses a belief rule-based inference methodology to improve the risk stratification and diagnosis of polycystic ovary syndrome by addressing uncertainties in clinical data and domain knowledge.

In this study, certain genetic variations in the ESR1 and ESR2 genes were strongly associated with polycystic ovary syndrome and related metabolic issues in Tunisian women.

This study developed a 3D ovarian cancer model using microtumours, which effectively mimics minimal residual disease and supports the identification of new drug targets like perhexiline for treatment-resistant cells.

This study predicted that 6-hydroxy genistein, coreximine, and scoulerine from Dadap leaves may act as anti-alopecia agents by interacting with JAK2, but further in-vivo testing is needed.

This study developed and validated a high-resolution mass spectrometry method to screen for prohibited substances and analyze six endogenous steroids in urine according to World Antidoping Agency requirements, demonstrating its effectiveness for antidoping analysis.

This study describes a computational method using side-effect data from social media to identify new drug indications, suggesting it could be effective for drug repositioning.

This study suggests that identified polymorphisms may serve as markers for assessing an individual's risk of developing prostate cancer.

This study identified ten novel compounds that may effectively target steroid 5 alpha-reductase 2 (5αR-2) for potential treatment of benign prostate hyperplasia, exhibiting comparable binding energies to existing drugs like finasteride and dutasteride.

This study introduced a new hair shading model that more accurately simulates light scattering on hair fibers, capturing effects not predicted by previous models.

This study uses cryo-electron microscopy to reveal how androgen receptor forms a non-obligate dimer to bind DNA, with implications for prostate cancer development.

In this study, molecular docking simulations and cell-based assays suggested that certain analogues of cepharanthine might possess anti-SARS-CoV-2 activity.

In this study, researchers introduced a machine learning approach to discover new nanozymes through the DiZyme platform, enabling the accurate prediction of multiple catalytic activities, and providing a comprehensive database and assistant resources for users.

This article discusses the MendelVar webserver, which integrates Mendelian disease data with GWAS findings to prioritize candidate genes for complex traits and reports no new experimental results.

In this study on testosterone-induced benign prostatic hyperplasia in rats, hydroxychloroquine significantly reduced prostate-related markers and enhanced therapeutic effects when combined with finasteride, suggesting potential as a new treatment approach.

This study suggests that certain Dibenzo derivatives may be promising candidates for prostate cancer treatment due to their potential interactions with the androgen receptor and 5α-reductase enzyme.

In this study, researchers developed an open-source browser-based tool to enhance the reproducibility and accuracy of SALT score calculations from scalp photos, aimed particularly at assessing partial regrowth in alopecia areata patients on JAK inhibitor therapy.

This study reports that novel hexahydrobenzoquinolin compounds fully inhibited 5α-reductase activity in human genital skin fibroblasts, suggesting their potential for treating conditions like benign prostatic hyperplasia and male pattern baldness.

This review highlights the potential of PROTAC technology in drug discovery for previously undruggable targets, particularly in cancer therapy, while emphasizing the urgent need to discover more E3 ligase recruiters to optimize targeted protein degradation.

This review discusses the development and use of various animal models for studying psoriasis, highlighting their strengths and limitations, but reports no new experimental results.

In this study, the researchers reported that the optimized compound 39 demonstrated potent AR antagonism and favorable pharmacokinetics in a hair-growth mouse model, achieving similar efficacy to pyrilutamide with faster onset and preserved safety, offering promise for next-generation topical AR antagonist development.

This study found that an acne complex animal model using rabbits showed more pronounced clinical symptoms and measured changes compared to the traditional Kligman model.

This study suggests a decision tree using in vitro metabolic clearance to identify early drug candidates likely to experience nonlinear pharmacokinetics due to intestinal CYP3A-related metabolism.

This study found that the proposed Bayesian measurement-error-driven hidden Markov regression model effectively calibrated inflated covariate effect sizes in a community-based survey on androgenetic alopecia regardless of misclassification type.

This study proposes a new mathematical model, the Harmonic Mean equation, for precisely quantifying nuclear pleomorphism in breast cancer grading, showing high performance with accuracy, recall, specificity, precision, and F1-score metrics.