research Homology Modeling of 5-alpha-Reductase 2 Using Available Experimental Data
Accurate protein modeling can help develop new treatments for prostate cancer and other diseases.
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240-270 / 1000+ resultsresearch Signaling pathways in the mechanisms of drug action
Signaling pathways are key targets for developing effective drugs.
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 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 Mathematical Modeling of Alopecia Areata: Unraveling Hair Cycle Dynamics, Disease Progression, and Treatment Strategies
The model helps understand alopecia areata and suggests better treatment strategies.
research A weighted non-negative matrix factorization approach to predict potential associations between drug and disease
WNMFDDA effectively predicts drug-disease associations.
research QSAR Analysis of a Series of Hydantoin‐based Androgen Receptor Modulators and Corresponding Binding Affinities
Researchers developed reliable models to predict how well certain compounds bind to androgen receptors, emphasizing the importance of atomic electronegativity.
research 5α-Reductase Inhibitors, Chemical and Clinical Models
Researchers developed a model to predict how well certain compounds can block an enzyme related to hair loss and prostate issues, suggesting a 50 mg dose of finasteride might be effective based on lab and body data.
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 Logic-based modeling and drug repurposing for the prediction of novel therapeutic targets and combination regimens against E2F1-driven melanoma progression
Tadalafil and Finasteride may help treat aggressive melanoma.
research In Search of Predictive Models for Inhibitors of 5-alpha Reductase 2 Based on the Integration of Bioactivity and Molecular Descriptors Data.
The models can help find better inhibitors for conditions like baldness and prostate disorders.
research KRDQN: An Interpretable Prediction Framework for Adverse Drug Reactions via Knowledge–Graph Reinforced Deep Q-Learning
KRDQN effectively predicts adverse drug reactions with high accuracy and clear explanations.
research Social Pharmacology: Integrating Pharmaceutical and Social Science Research on Drug Effects
The conclusion is that combining social and cultural factors with pharmaceutical research could improve our understanding of how drugs work.
research Recent Insights in Multi‐Target Drugs in Pharmacology and Medicinal Chemistry
Multitarget drugs are needed to better treat complex diseases.
research Mathematical Modeling of Alopecia Areata: Unraveling Hair Cycle Dynamics, Disease Progression, and Treatment Strategies
The model helps understand alopecia areata and suggests treatment strategies.
research Using risk analysis to guide changes to compounding formulae
Risk analysis is important for safely adjusting pharmaceutical formulas while maintaining their quality and effectiveness.
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 Logic-Based Modeling and Drug Repurposing for the Prediction of Novel Therapeutic Targets and Combination Regimens against E2F1-Driven Melanoma Progression
Cialis and Finasteride could be repurposed to treat aggressive melanoma.
research Generation of comparative pharmacophoric model for steroidal 5α-reductase I and II inhibitors: A 3D-QSAR study on 6-azasteroids
The study created a model to help design new inhibitors for steroidal 5α-reductase enzymes.
research Pharmacogenetics of the Androgen Metabolic Pathway
research Finasteride as a model for personalized medicine
Finasteride treatment should be personalized to individual mental profiles.
research Recent advances in drug repositioning and rediscovery for different therapeutic activities utilizing updated technological approaches
Using existing drugs for new treatments is cost-effective and safer.
research Thermodynamic Modeling of the Gas-Antisolvent (GAS) Process for Precipitation of Finasteride
The Gas-Antisolvent process can be effectively modeled and optimized to create Finasteride, a hair growth drug.
research A computer‐aided drug repurposing: the antibacterial agents targeting GroEL
Daprodustat, combined with PAβN, could be a new antibacterial treatment.
research Computational Drug Repositioning in Cardiorenal Disease: Opportunities, Challenges, and Approaches
Drug repositioning is a promising way to quickly develop new treatments, especially for rare diseases.
research Discovery of novel 5α-reductase type II inhibitors by pharmacophore modelling, virtual screening, molecular docking and molecular dynamics simulations
A new compound may treat benign prostatic hyperplasia better than finasteride.
research 397 Predictive modeling of drug response and mechanism of action in alopecia areata clinical trials
Researchers found three different ways drugs work to treat hair loss from alopecia areata and identified key factors for personalized treatment.
research Development of a FRET-based 3D in vitro breast tumor model and its application in evaluating drug-induced apoptosis
A new 3D breast tumor model helps test drug effects more accurately than traditional methods.
research Modeling share dynamics by extracting competition structure
The model can predict website market shares by identifying competition among them.
research Hair keratin molecular dynamics models
Molecular dynamics simulations help understand keratin's properties and predict hair's response to treatments.