research DNN-DTIs: Improved Drug-Target Interactions Prediction Using XGBoost Feature Selection and Deep Neural Network
The DNN-DTIs method accurately predicts drug-target interactions and is useful for drug repositioning.
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research Drug Repositioning: New Opportunities for Older Drugs
Finding new uses for existing drugs is promising and can lead to safer, more effective medicines.
research Network-Based Drug Repositioning: Approaches, Resources, and Research Directions
The document concludes that computational methods using networks and various data can improve the process of finding new uses for existing drugs.
research Targeting Receptor–Regulator Interactions
New treatments for cancer and skin disorders show promise in disrupting harmful cell interactions and promoting hair growth.
research Can We Teach Old Drugs New Tricks? Repurposing Neuropharmacological Drugs for Inflammatory Skin Diseases
Old neuropharmacological drugs might be effective for treating inflammatory skin diseases.
research Chaperones as Thermodynamic Sensors
New cancer treatments show promise in reducing tumor growth and improving skin regeneration in mice.
research Drug Repurposing: Hypothesis, Molecular Aspects, and Therapeutic Applications
Drug repurposing is a cost-effective way to find new uses for existing drugs, speeding up treatment development.
research DrugNet: Network-Based Drug–Disease Prioritization by Integrating Heterogeneous Data
DrugNet effectively identifies new uses for existing drugs and may save resources in drug development.
research A New Way to Restore Tumor Suppressor Function
New treatments may restore cancer-blocking proteins, slow prostate cancer, identify drug targets, and potentially regrow hair.
research Network-Based Approaches Reveal Potential Therapeutic Targets for Host-Directed Antileishmanial Therapy Driving Drug Repurposing
Researchers identified five new potential targets for leishmaniasis treatment, suggesting repurposing existing drugs could be effective.
research Montagna Symposium 2017—Precision Dermatology: Next Generation Prevention, Diagnosis, and Treatment
The symposium highlighted the importance of understanding disease mechanisms for targeted dermatology treatments.
research Adsorption of Diclofenac and PFBS on a Hair Keratin Dimer
Human hair keratin might be good for filtering out harmful substances from water.
research Boosting Hair Follicle Regeneration
A protein called FGF9 helps regenerate hair follicles in mice after skin damage, and increasing FGF9 could potentially help human hair growth.
research Analysis of the Human Diseasome Using Phenotype Similarity Between Common, Genetic, and Infectious Diseases
The study found that diseases can be grouped by symptoms and that the accuracy of predicting disease-related genes varies with the data source.
research Enriching Proteolysis Targeting Chimeras with a Second Modality: When Two Are Better Than One
Adding a second method to PROTACs could improve cancer treatment.
research A Network Pharmacology-Based Approach to Explore Mechanism of Action of Medicinal Herbs for Alopecia Treatment
Medicinal herbs might treat hair loss by affecting genes and pathways related to lipid and glycerophospholipid metabolism.
research Androgen Signaling Regulates SARS-CoV-2 Receptor Levels and Is Associated with Severe COVID-19 Symptoms in Men
Male hormones affect COVID-19 severity and certain drugs targeting these hormones could help reduce the risk.
research Alleviation of Androgenetic Alopecia with Aqueous Paeonia Lactiflora and Poria Cocos Extract Intake Through Suppressing the Steroid Hormone and Inflammatory Pathway
Paeonia lactiflora and Poria cocos extracts can potentially increase hair growth and reduce hair loss symptoms by lowering testosterone and inflammation levels.
research Exploring the Mechanisms and Molecular Targets of Taohong Siwu Decoction for the Treatment of Androgenetic Alopecia Based on Network Analysis and Molecular Docking
Taohong Siwu Decoction may help treat hair loss by targeting multiple genes and pathways.
research The PDGF/PDGFR Pathway as a Drug Target
The PDGF/PDGFR pathway is a potential drug target with mixed success in treating various diseases, including some cancers and fibrosis.
research The Role of Aquaporins in Polycystic Ovary Syndrome: A Way Towards a Novel Drug Target in PCOS
Aquaporins could be new drug targets for treating polycystic ovary syndrome.
research Identification of Neprilysin as a Potential Target of Arteannuin Using Computational Drug Repositioning
Arteannuin might work against cancer and Alzheimer's by targeting neprilysin.
research Developing Formulations for Drug Follicular Targeting: Nanoemulsions Loaded with Minoxidil and Clove Oil
Nanoemulsions with minoxidil and clove oil effectively target hair follicles for better alopecia treatment.
research Drug Repositioning Using In Silico Compound Profiling
Using computers to analyze drugs can find new uses for them, but actual experiments are needed to confirm these uses.
research Three-Dimensional Proteome-Wide Scale Screening for the 5-Alpha Reductase Inhibitor Finasteride: Identification of a Novel Off-Target
Finasteride may affect PNMT, causing side effects.
research Stem Cells as a Target for the Delivery of Active Molecules to Skin by Topical Administration
Topical treatments can deliver active molecules to skin stem cells, potentially helping treat skin and hair disorders, including skin cancers and hair loss.
research Peer Review of Computational Drug Repositioning Based on Side-Effects Mined from Social Media
Reviewers criticized the study for assuming drugs with similar side-effects work the same way and questioned the validity of its findings due to potential biases and data quality issues.
research New Target for Minoxidil in the Treatment of Androgenetic Alopecia
Minoxidil may work for hair loss by reducing androgen sensitivity and altering hormone-related enzymes.
research Nanotechnology in Dermatology
Nanotechnology in dermatology shows promise for better drug delivery and treatment effectiveness but requires more safety research.
research A Machine Learning and Network Framework to Discover New Indications for Small Molecules
A machine learning model called CATNIP can predict new uses for existing drugs, like using antidepressants for Parkinson's disease and a thyroid cancer drug for diabetes.