research Effective holistic characterization of small molecule effects using heterogeneous biological networks
Integrating biological networks improves drug repurposing and ADR prediction.
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90-120 / 1000+ resultsresearch Predictive Skin Permeation of Ethinylestradiol,α-Asarone,Finasteride and Risperidone
The Potts-Guy model best predicts skin permeability for the tested drugs.
research A Composite Model for the Transport of Hydrophilic and Lipophilic Compounds Across the Skin: Steady-State Behavior
The model better predicts how water-loving and fat-loving substances move through the skin by including tiny pores and hair follicle paths.
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.
research Photo-responsive fibers as artificial hairs in an in-vitro model for transdermal drug delivery
Artificial hair fibers improve drug delivery accuracy through skin models.
research Past and Future Strategies for GPCR Deorphanization
Finding functions for unknown GPCRs is hard but key for making new drugs.
research Development of a Two-Dimensional Model for Predicting Transdermal Permeation with the Follicular Pathway: Demonstration with a Caffeine Study
Researchers developed a model that shows hair follicles increase skin absorption of caffeine by 20%.
research Development and Qualification of a Physiologically Based Pharmacokinetic Model of Finasteride and Minoxidil Following Scalp Application
The model can help predict how finasteride and minoxidil work when applied to the scalp.
research Drug Repositioning with GraphSAGE and Clustering Constraints Based on Drug and Disease Networks
The method effectively predicts new drug uses, including potential COVID-19 treatments.
research AnnoPharma: Detection of substances responsible of ADR by annotating and extracting information from MEDLINE abstracts
AnnoPharma effectively identifies substances causing adverse drug reactions in medical abstracts.
research Exploring the new horizons of drug repurposing: A vital tool for turning hard work into smart work
research Data-driven strategies for drug repurposing: insights, recommendations, and case studies
Drug repurposing can speed up and reduce costs in drug discovery, especially for cancer treatment.
research Data-driven strategies for drug repurposing: insights, recommendations, and case studies
Data-driven methods can effectively identify existing drugs for new uses, especially in cancer, infections, and respiratory diseases.
research Establishment of an evaluation method to detect drug distribution in hair follicles
Researchers developed a method to measure drugs in hair follicles and found that both water-loving and fat-loving drugs can be detected after being applied to the skin.
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 Different localizations of drugs simultaneously administered in a strand of hair by micro‐segmental analysis
Drugs localize differently in hair strands based on their properties.
research Biochemical approach on the conservation of drug molecules during hair fiber formation
Drugs can be incorporated into hair based on their chemical properties and hair pigmentation.
research Optimization of finasteride nano-emulsion preparation by using chemometrics approaches (and/or Box-Behnken design and regresion model)
research A discourse on human hair fibers and reflections on the conservation of drug molecules
Hair analysis for drugs needs a better understanding of how drugs enter hair, considering factors like hair structure and pigmentation.
research Design and synthesis of potential nano-carrier for delivery of diphencyprone to hair follicle
research Simultaneous Target-Mediated Drug Disposition-Pharmacodynamic (TMDD-PD) Modeling of Finasteride and Dutasteride: Impact of Target Binding and Turnover on Non-linear Pharmacokinetics
Finasteride and dutasteride's effects are mainly due to target binding saturation and slow enzyme turnover.
research Dimensions of drug information
A new method organizes drug information to improve data use and create a comprehensive drug database.
research Rheological Properties and Composition Affecting the Skin Permeation of a Model of a Hydrophilic Drug in Lecithin Reverse Wormlike Micelles
IPM enhances skin penetration of hydrophilic drugs.
research Drug Repurposing: Accelerating New Therapeutic Discoveries from Old Molecules (1990 – 2025)
Drug repurposing finds new uses for old drugs quickly and cheaply.
research Advanced chemical imaging and comparison of human and porcine hair follicles for drug delivery by confocal Raman microscopy
Confocal Raman microscopy can effectively study drug delivery in hair follicles using pig ear models.
research Drug Repurposing: Accelerating New Therapeutic Discoveries from Old Molecules (1990 – 2025)
Repurposing existing drugs can quickly and cheaply find new treatments.
research Identification of Drug-Disease Associations Using Information of Molecular Structures and Clinical Symptoms via Deep Convolutional Neural Network
A new model can predict drug-disease links well, helping drug research.
research Modelling of the composition of emulsion medicines and cosmetics stabilized by a biocomplex of surfactant substances based on rhamnolipids Pseudomonas sp. PS-17
A semi-automated system can effectively help choose emulsion ingredients, simplifying the creation of medicinal and cosmetic products.
research In-vitro permeation of drugs into porcine hair follicles: is it quantitatively equivalent to permeation into human hair follicles?
Porcine hair follicles can effectively model human hair follicles for drug absorption.
research Hair keratin molecular dynamics models
Molecular dynamics simulations help understand keratin's properties and predict hair's response to treatments.