research Pharmacophore Models for Toxicology Prediction
Pharmacophore models can predict liver toxicity and central nervous system toxicity, but they have limitations and specific requirements.
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30-60 / 1000+ results research A computational approach to mechanistic and predictive toxicology of pesticides
Pesticides can cause reproductive and adrenal health issues.
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 Effective holistic characterization of small molecule effects using heterogeneous biological networks
Integrating biological networks improves drug repurposing and ADR prediction.
research Poster Abstracts
The model and estimator can predict drug exposure in kidney transplant patients well.
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 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.
research Nano-PROTACs: state of the art and perspectives
Nano-PROTACs could improve drug targeting and delivery by using nanotechnology.
research MEGA PROTAC, MEGA DOCK-based PROTAC mediated ternary complex formation pipeline with sequential filtering and rank aggregation
MEGA PROTAC improves prediction and ranking of protein complexes better than existing methods.
research A weighted non-negative matrix factorization approach to predict potential associations between drug and disease
WNMFDDA effectively predicts drug-disease associations.
research DiZyme: The Ultimate Resource for Nanozyme Multiple Catalytic Activity Prediction
DiZyme accurately predicts nanozyme activities to aid in discovering new applications.
research Metabolite screening of aromatic amine hair dyes usingin vitrohepatic models
The tested hair dye ingredients do not form harmful oxidized metabolites in the liver.
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 Clinical Guidance on the Monitoring and Management of Trastuzumab Deruxtecan (T-DXd)-Related Adverse Events: Insights from an Asia-Pacific Multidisciplinary Panel
Proactive monitoring and management are essential to maximize the benefits of Trastuzumab Deruxtecan while minimizing serious side effects.
research Rapid Screening of Anticoagulation Compounds for Biological Target-Associated Adverse Effects Using a Deep-Learning Framework in the Management of Atrial Fibrillation
The framework helps predict adverse effects of blood thinners, improving drug selection for atrial fibrillation.
research Prediction of gain-of-function and loss-of-function mutations using Combined Annotation Dependent Depletion (CADD)
C-scores can help predict gain-of-function and loss-of-function mutations.
research Cutaneous toxicity as a predictive biomarker for clinical outcome in patients receiving anticancer therapy
Skin reactions from cancer treatments might predict how well the treatments work.
research Analysis of Methyltestosterone and Testosterone Propionate in Dried Blood Spots After Transdermal Application
The method effectively detects MeT and TP in dried blood spots after cream application.
research Metabolic study of androsta-1,4,6-triene-3,17-dione in horses using liquid chromatography/high resolution mass spectrometry
The study found that urine metabolites M1b or M4 are the best indicators of ATD use in horses, with detection possible up to 77 hours in urine and 28 hours in blood.
research Predictive Skin Permeation of Ethinylestradiol,α-Asarone,Finasteride and Risperidone
The Potts-Guy model best predicts skin permeability for the tested drugs.
research Acute And Sub Chronic Toxicity Of Tridax Procumbens In Experimental Animals
High doses of Tridax procumbens extract can be toxic, affecting liver and kidneys.
research Proteolysis‐Targeting Chimera (PROTAC): Current Applications and Future Directions
PROTACs offer new ways to treat hard-to-target diseases, with promising drugs for cancer in advanced trials.
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 A liquid chromatography/tandem mass spectrometry method for determination of aristolochic acid‐I in rat plasma
A reliable method was developed to measure aristolochic acid-I in rat blood.
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 138 Characterization of xenobiotic metabolizing enzymes of a reconstructed human epidermal model from adult hair follicles
The reconstructed skin model from hair follicles functions like human skin in processing chemicals and can be used to test ingredient safety.
research 8 / Experimental induction of tenuazonic acid toxicity in mice model
Low levels of tenuazonic acid can severely damage vital organs.
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 Artificial Intelligence in Dermatology: Assessing Predictability in Clinical Diagnosis
The AI showed high accuracy in diagnosing skin conditions but needs improvement for immunological and infectious disorders.
research Contaminants of emerging concern in the fetal environment
Fetal environments contain various chemicals that may disrupt hormones.