AIMC Topic: Pharmacogenomic Variants
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Gene-Specific Variant Classifier (DPYD-Varifier) to Identify Deleterious Alleles of Dihydropyrimidine Dehydrogenase.
Clinical pharmacology and therapeutics
Feb 2, 2018
Deleterious variants in dihydropyrimidine dehydrogenase (DPD, DPYD gene) can be highly predictive of clinical toxicity to the widely prescribed chemotherapeutic 5-fluorouracil (5-FU). However, there are very limited data pertaining to the functional ...
Humans
Machine Learning
Computer Simulation
Risk Assessment
Pharmacogenetics
Genotype
Dose-Response Relationship, Drug
Cell Survival
Predictive Value of Tests
Structure-Activity Relationship
Models, Molecular
Fluorouracil
Inhibitory Concentration 50
HCT116 Cells
HEK293 Cells
Gene Frequency
Protein Conformation
Antimetabolites, Antineoplastic
Mutation, Missense
Dihydrouracil Dehydrogenase (NADP)
Pharmacogenomic Testing
Pharmacogenomic Variants
Comprehensive Characterization of Antidepressant Pharmacogenetics: A Systematic Review of Studies in Major Depressive Disorder.
Clinical and translational science
Jun 1, 2025
Pharmacogenetics is a promising strategy to facilitate individualized care for patients with Major Depressive Disorder (MDD). Research is ongoing to identify the optimal genetic markers for predicting outcomes to antidepressant therapies. The primary...
Deep learning for drug response prediction in cancer.
Briefings in bioinformatics
Jan 18, 2021
Predicting the sensitivity of tumors to specific anti-cancer treatments is a challenge of paramount importance for precision medicine. Machine learning(ML) algorithms can be trained on high-throughput screening data to develop models that are able to...
PLATYPUS: A Multiple-View Learning Predictive Framework for Cancer Drug Sensitivity Prediction.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Jan 1, 2019
Cancer is a complex collection of diseases that are to some degree unique to each patient. Precision oncology aims to identify the best drug treatment regime using molecular data on tumor samples. While omics-level data is becoming more widely availa...
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