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This study found that the DNN-DTIs prediction model achieved high accuracy in predicting drug-target interactions, suggesting its potential application in drug repositioning and the discovery of new uses for existing drugs.

This review examines the current landscape of drug repositioning, highlighting that computational methods expand possibilities for reusing existing drugs to treat unmet medical needs. The authors discuss both the potential of these methods and the challenges faced in identifying new therapeutic applications.

This study identified high expression of the Sur2A subunit in cancerous cells in two animal models, highlighting a potential drug target in breast and renal cancers, with additional pharmacovigilance data linking KATP channel genes to varied cancer risks.

This review discusses the potential of follicular drug delivery systems to target the pilosebaceous unit and reports no new research findings.

This study identified key genes linked to immune cells and potential therapeutic compounds for alopecia areata by evaluating upregulated genes from patient datasets, highlighting T and NK cell involvement in hair follicle attack and suggesting drug candidates through molecular docking and dynamics simulations.

This study identified neprilysin as a potential target of the pharmacological agent arteannuin, which may guide future research into its clinical applications, although experimental verification is needed.

This study identified 19 genes targeted by 29 potential drugs for topical treatment of chemotherapy-induced alopecia, suggesting avenues for drug repositioning in pharmaceutical research.

This review discusses the data resources and computational models used in drug repositioning, highlighting their role in discovering unknown drug mechanisms and reports no new empirical results.

In this study, researchers evaluated drug-target interaction data from three major resources and developed a framework for drug repurposing, revealing associations between drug properties and therapeutic groups to aid in compound prioritization and predicting repositioning opportunities for existing drugs, particularly in cancer treatment.

This review highlights the inadequacy of the "specificity paradigm" in drug design for complex diseases like Alzheimer's and cancer, suggesting a shift toward developing multitarget drugs to improve treatment efficacy by interacting with multiple targets through various mechanisms.

In this study, the researchers performed a comparative analysis of drug-target interaction data from multiple databases to refine drug repurposing strategies, revealing potential associations between drug characteristics and therapeutic groups, and predicting repositioning opportunities for FDA-approved drugs across major cancer types.

This study identified distinct myeloid subsets in the scalp of men with androgenetic alopecia, potentially revealing new drug targets for treatment.

This study explored how T cells interact with hair follicles in primary cicatricial alopecias by using spatial transcriptomics across mice, dogs, and human samples, revealing specific communication pathways and potential drug targets like CFD and S100A8/9 for future therapeutic research.

This study suggests that the anti-inflammation and anti-oxidation properties of Taohong Siwu decoction may be linked to its effects on androgenic alopecia through specific biological processes and pathways.

This review explores fundamental aspects of niosomes in drug delivery, including their structure, preparation methods, and factors influencing their formation, but it reports no new experimental results.

This study found that lower expression of Septin4 is significantly associated with worse outcomes in colon cancer, and its interaction with BAX in DOX treatment suggests its potential in targeted therapy.

In this study, researchers identified three proteins, DEFB1, HGFAC, and CYB5D2, as potential drug targets for alopecia areata, and suggested that the traditional Chinese medicine ingredient cimigenol shows promise in interacting with DEFB1 for potential treatment.

New treatments may restore cancer-blocking proteins, slow prostate cancer, identify drug targets, and potentially regrow hair.

This article discusses the potential for combining PROTACs with other therapeutic modalities in drug discovery and reports no clinical results.

This study used computational methods to identify pranlukast and mirabegron as promising candidates for repurposing against diabetes due to their good binding interactions with the DPP-IV target.

This study identified shared genes and pathways in idiopathic pulmonary fibrosis patients with COVID-19, suggesting these may increase mortality and pointing to potential drug targets for treatment.

In this study, a deep neural network model called regX was developed to prioritize driver regulators for cell state transitions by incorporating gene-level regulation and interactions, showing potential therapeutic targets in type 2 diabetes and hair follicle development when applied to single-cell multi-omics data.

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.

In this study, researchers explored drug repurposing as a potential strategy for treating psoriasis and identified Pioglitazone, Trimipramine, and Dimetindene as promising candidates for this indication, based on molecular docking and predictive algorithms.

This review discusses the role of Nrf2 in hearing loss and its potential as a target for developing hearing protection drugs, but reports no new clinical results.

This chapter reviews different types of stem cell niches, their signaling pathways, and how understanding these interactions can inform treatments for various diseases, without reporting new experimental results.

This study identified three Ayurvedic compounds that may serve as potential treatments against the macrolide-resistant enzyme murE of *Tropheryma whipplei*, addressing challenges in treating Whipple disease.

This study suggests that finasteride may inhibit the enzyme phenylethanolamine N-methyltransferase, which could contribute to its sexual and psychological side effects.

This review summarizes current knowledge of SARS-CoV-2, including its biology, epidemiology, risk factors, and the need for updated vaccines and drugs, but presents no new clinical findings.

This review discusses the role of vitamin D receptor signaling in hair follicle biology for alopecia treatment and underscores the need for continued research, without presenting new clinical results.