research High-content drug screening for rare diseases
High-content screening is useful for finding new treatments for rare diseases and has led to FDA-approved drugs.
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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 Problems Associated with the Recognition and Confirmation of Low-Dose Endocrine Toxicities
Confirming low-dose endocrine toxicities is difficult and requires more research.
research BIO-ANALYTICAL METHOD DEVELOPMENT AND VALIDATION OF FINASTERIDE, TADALAFIL, AND ITS APPLICATION TO PHARMACOKINETIC STUDIES IN RAT PLASMA BY USING LC-MS/MS
A reliable method was developed to measure Finasteride and Tadalafil in rat blood.
research New fluorogenic probes for neutral and alkaline ceramidases
New probes were created to effectively measure specific enzymes involved in fat metabolism, which could help develop new drugs.
research High resolution full scan liquid chromatography mass spectrometry comprehensive screening in sports antidoping urine analysis
The method effectively detects banned substances in urine for sports antidoping.
research 412 DETECTION OF CIRCULATING PROSTATE CANCER CELLS BY MEANS OF AN ANTIBODY-CONJUGATED NANOPARTICULAR BIOSENSOR
The document concludes that a new biosensor can efficiently detect prostate cancer cells and that standardized referrals help find significant cancers effectively.
research LC-APCI+-MS/MS method for the analysis of ten hormones and two endocannabinoids in plasma and hair from the mice with different gut microbiota
The method accurately measures hormones and endocannabinoids in mice, showing gut microbiota diversity affects these levels and may influence stress and reproductive systems.
research Current status of keratinized matrices in Toxicology : Comparison of hair and nails
Nails could be used to check long-term drug use, but more research is needed.
research Poster Abstracts
The model and estimator can predict drug exposure in kidney transplant patients well.
research Skin toxicity determined in vitro by three-dimensional, native-state histoculture.
This model can replace animal testing for quick, cost-effective skin toxicity tests.
research DiZyme: The Ultimate Resource for Nanozyme Multiple Catalytic Activity Prediction
DiZyme accurately predicts nanozyme activities to aid in discovering new applications.
research Modeling animal genomics in mice: An authentic approach for the functional interrogation of evolutionarily and agriculturally critical variants
Mouse models are essential for studying and improving genetic traits in agriculture.
research A High Throughput LC-MS Platform for the Discovery of Autotaxin Inhibitors
High-throughput LC-MS screening is effective for finding new autotaxin inhibitors for asthma 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 Bioengineering a humanized acne microenvironment model: Proteomics analysis of host responses to Propionibacterium acnes infection in vivo
A new model helps study acne and test treatments.
![Benzo[c]quinolizin-3-ones Theoretical Investigation: SAR Analysis and Application to Untested Compounds](/images/research/6712367a-949f-47c7-a756-2bfe6316fc69/small/15331.jpg)
research Benzo[c]quinolizin-3-ones Theoretical Investigation: SAR Analysis and Application to Nontested Compounds
The research found a link between certain molecular features and the biological activity of BC3, which can help identify or create new active compounds.
research Pyrene Excimer Nucleic Acid Probes for Biomolecule Signaling
Pyrene excimer nucleic acid probes are promising for detecting biomolecules accurately with potential for biological research and drug screening.
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 A HPLC-Based Chloramphenicol Acetyltransferase Assay for Assessing Hair Growth: Comparison of the Sensitivity of UV and Fluorescence Detection
The new method is 1000 times more sensitive for measuring hair growth.
research Analysis of Animal Models of Alopecia Areata(AA) Based on Clinical Features of Traditional Chinese and Western Medicine
Better models and evaluation methods for alopecia areata are needed.
research Sensitive bromatometric assay methods for finasteride in pharmaceuticals
Three cost-effective methods accurately measure finasteride in pharmaceuticals, better than current techniques.
research Smart DNA biosensor for in vitro detection of androgen receptor mRNA
A new easy-to-use biosensor was made to detect androgen receptor mRNA, which could help diagnose related conditions quickly.
research A hair-follicle reconstructed in vitro immunocompetent skin model for prediction of the sensitizing potential of chemicals
The new skin model can predict how chemicals might cause skin allergies.
research Intérêt des cheveux dans le diagnostic, la prise en charge et le suivi des sujets dépendants
Hair analysis is crucial for diagnosing, managing, and monitoring addiction.
research Gas Chromatography Tandem Mass Spectrometry for Biomarkers of Alcohol Abuse in Human Hair
A new method quickly detects alcohol use from hair in under an hour.
research A regulatory perspective on pharmacokinetic/pharmacodynamic modelling
The document concludes that PK/PD modeling is important for determining the safe and effective dosages of drugs.
research Colorimetric assay for γ-glutamyl transpeptidase
The document concludes that measuring γ-glutamyl transpeptidase activity is more accurate with a higher substrate concentration and using diluted acetic acid to stop the reaction.
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 Harmonic Vibrational Frequency Simulation of Pharmaceutical Molecules via a Novel Multi-Molecular Fragment Interception Method
The new method provides more accurate vibrational frequencies for drug molecules than traditional models.