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.
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60-90 / 1000+ resultsresearch (Un)targeted Scanning of Locks of Hair for Drugs of Abuse by Direct Analysis in Real Time–High-Resolution Mass Spectrometry
A new method can quickly and accurately detect drugs in hair.
research O1: Contribution of in-utero drug exposure when interpreting hair results in young children
Hair analysis alone can't confirm long-term drug exposure in children under 1 year old.
research A computer‐aided drug repurposing: the antibacterial agents targeting GroEL
Daprodustat, combined with PAβN, could be a new antibacterial treatment.
research Exploring the new horizons of drug repurposing: A vital tool for turning hard work into smart work
research Hair follicle testing-an alternative to urinalysis for drug abuse screening
Hair follicle testing is more reliable and effective for drug screening than urinalysis.
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 Integrated edge information and pathway topology for drug-disease associations
iEdgePathDDA effectively finds new drug-disease links, outperforming other methods.
research Hair analysis: Assessment of homemade hair treatment effects on drug concentrations in the keratin matrix
Homemade hair treatments can significantly lower drug levels in hair, possibly causing false-negative drug tests.
research Pharmacophore Models for Toxicology Prediction
Pharmacophore models can predict liver toxicity and central nervous system toxicity, but they have limitations and specific requirements.
research Peer Review #3 of "Computational drug repositioning based on side-effects mined from social media (v0.2)"
The study improved and was accepted despite initial concerns about data clarity, methodology, and potential overfitting.
research A Simple Decision Tree Suited for Identification of Early Oral Drug Candidates With Likely Pharmacokinetic Nonlinearity by Intestinal CYP3A Saturation
The decision tree can predict drug absorption issues with good accuracy but needs more validation and adjustments for other factors.
research Predictive Skin Permeation of Ethinylestradiol,α-Asarone,Finasteride and Risperidone
The Potts-Guy model best predicts skin permeability for the tested drugs.
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 Peer Review #3 of "Computational drug repositioning based on side-effects mined from social media (v0.3)"
Reviewers criticized the study's methods and suggested focusing on drug mechanisms instead of repositioning due to social media data quality concerns.
research Compilation of a comprehensive gene panel for systematic assessment of genes that govern an individual’s drug responses
Researchers found that most genes affecting drug responses are not fully covered by commercial SNP chips, suggesting the need for more comprehensive tools to optimize drug selection based on genetics.
research A machine learning and network framework to discover new indications for small molecules
The model successfully predicted new uses for existing drugs, like using certain hormonal and heart medications for respiratory and Parkinson's diseases, and a cancer drug for diabetes.
research Analysis of metabolic characteristics of epristeride in zebrafish based on LC-Q-TOF MS and its potential applications in doping control
Epristeride's metabolism in zebrafish helps improve doping detection methods.
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 Hair analysis for cannabinoids and amphetamines in a psychosis incidence study
Hair analysis for drugs in psychosis patients is unreliable due to varying hair growth rates.
research Hair analysis for veterinary drug monitoring in livestock production
Hair analysis is promising for detecting drug misuse in livestock.
research How drug repurposing can advance drug discovery: challenges and opportunities
Drug repurposing is a faster, cheaper way to develop new treatments using existing drugs.
research A review on computer‐aided chemogenomics and drug repositioning for rationalCOVID ‐19 drug discovery
Computer-aided methods can speed up COVID-19 drug discovery and help find new uses for existing drugs.
research Issues About Axial Diffusion During Segmental Hair Analysis
Wait 4-5 weeks after drug use before hair testing and cut hair into three segments to confirm single drug exposure.
research W6: Novelties in hair analysis and interpretation issues
Hair analysis can be unreliable due to external contamination and varying drug concentrations.
research Why Do Promising Therapies Stall in Development and How Can We Move Them Forward?
Most drugs fail to reach the market, but understanding their properties and using strategies like early toxicity tests and drug repurposing can help advance their development.
research A Concept on The Development of The DRDE Series of Compounds for Skin Diseases Using In-Silico ADME And Drug-Likeness Analysis
DRDE-07 shows promise for treating skin diseases due to its favorable properties.
research A Review on Forensic Toxicological Analysis of Drugs in Hair using Various Instrumental Techniques
Hair analysis is better than urine and blood for detecting past drug use.
research Pharmacophore Modeling and Three Dimensional Database Searching for Drug Design Using Catalyst: Recent Advances
The document concludes that Catalyst software is effective for drug design, identifying potent compounds for various medical conditions.
research Hair Drug Testing Routine in Many Clinical and Forensic Applications
Hair testing is effective for detecting long-term drug use.