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This study developed a new method for analyzing multivariate time-series data that successfully predicts website competition dynamics and outperforms conventional methods in identifying and predicting competitive structures.

In this study, researchers using QM/MM simulations identified key molecular motions and residue interactions in the enzyme SRD5A2 that significantly influence its catalytic efficiency, demonstrating that specific residues play critical roles in stabilizing transition states and reducing activation barriers.

This study identified new potential targets and indications for several marketed drugs using in silico profiling, suggesting opportunities for drug repositioning.

This study used Density Functional Theory to calculate finasteride's molecular properties, finding the GGA/PW91 method aligns well with experimental data and identifying key reactive sites for chemical interactions.

This study found that a new computational method using side-effect data from social media can successfully identify known and potential new drug indications for repositioning efforts.

3D spheroid cells effectively test hair growth compounds like Minoxidil.

This study demonstrates that a proposed multi-stage framework improves the accuracy and faithfulness of drug-related responses generated by language models, compared to traditional methods.

In this study, the synthesis and testing of new pyrroloquinoline derivatives identified compound 7p, which showed low micromolar cytotoxic activity against MCF-7 and HeLa cells, highlighting its potential for development into a potent anticancer agent.

This review evaluates laboratory models used in androgenetic alopecia research but reports no new findings, emphasizing the potential of human-derived 3-D models for future studies.

QMSI effectively maps and quantifies drug distribution in skin tissues.

This study found that low-coverage whole-genome sequencing followed by imputation effectively identifies genetic variants associated with wool traits in Angora rabbits, offering a cost-efficient method for genetic research and breeding.

This study reports the crystallization of the human androgen receptor's ligand-binding domain with nonsteroidal ligands, which may aid in understanding the differences in binding compared to steroidal ligands.

This study used an in silico/in vitro approach to identify potential inhibitors of the enzyme SRD5A2, finding that the androgen receptor modulator MK-0773 is a moderate inhibitor, although it does not act as a covalent inhibitor like finasteride.

This review examines how mathematical modeling of the MAPK pathway, enhanced by single-cell proteomic data, improves understanding of regulatory mechanisms, predicts system behavior, and guides experimental research, emphasizing recent developments in modeling and inference.

This article introduces signatureSearch, a software package designed for gene expression signature searching and functional enrichment analysis, but reports no new clinical results.

This study demonstrates that a 3D-printed agarose microwell platform supports the growth of size-uniform, viable NSCLC cancer spheroids, and can effectively evaluate drug responses using limited tumor material from biopsies, particularly with EGFR tyrosine kinase inhibitors gefitinib and osimertinib.

In this study, the reconstructed skin epidermal model derived from hair follicles showed gene expression and enzyme functionality consistent with native human skin, suggesting its viability for studying skin metabolism and potential toxicity of dermo-cosmetic ingredients.

This study reports that TFM-4AS-1, a selective androgen receptor modulator, promoted bone and muscle growth with reduced effects on reproductive organs in ovariectomized rats.

This review summarizes structural insights into androgen receptor dynamics, highlighting its flexibility in binding numerous partners, which may explain adaptive resistance mutations in cancer and loss of function in androgen insensitivity syndrome.

This review discusses nonsteroidal selective androgen receptor modulators and their potential therapeutic applications but reports no new clinical findings.

This study used a multi-layer in silico framework to evaluate Korean herbal compounds for androgenetic alopecia, identifying Biochanin A, Saponin Re, and Emodin as potential topical candidates with distinct safety and affinity profiles, although these findings remain purely computational without experimental validation.

This chapter reviews selective androgen receptor modulators, discussing their therapeutic potential beyond current androgen applications, and reports no new clinical findings.

This study demonstrated that a computational screening process can identify existing drugs and natural compounds with potential anti-COVID-19 activity, highlighting some candidates for further experimental validation.

This study identified novel 4-Amino-2H-benzo[h]chromen-2-one analogs as potent androgen receptor antagonists that show strong antiproliferative activity against prostate cancer cells, suggesting them as potential lead compounds for therapy development.

This study conducted an in silico evaluation of Korean herbal compounds against key targets involved in androgenetic alopecia, finding Biochanin A, Saponin Re, and Emodin as promising candidates for topical treatments, but highlighting safety and topical formulation challenges.

In this study, six metabolic reprogramming-related genes, including SQSTM1, were significantly associated with alopecia areata, with elevated SQSTM1 mRNA and protein levels observed in affected hair follicles compared to healthy controls.

This study found that PC 3DP models are reliable preclinical tools that could potentially customize treatment strategies and predict patient prognoses by correlating drug sensitivity profiles with clinical outcomes, though larger patient cohort validation is needed to confirm clinical utility.

This chapter discusses the synthesis and analysis of near-infrared fluorescent activity-based probes for imaging cysteine protease activity, reporting potential benefits for disease diagnosis but noting challenges in imaging specific locations with high cathepsin activity.