AIMC Topic: Pharmacogenetics
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HLBS-PopOmics: an online knowledge base to accelerate dissemination and implementation of research advances in population genomics to reduce the burden of heart, lung, blood, and sleep disorders.
Genetics in medicine : official journal of the American College of Medical Genetics
Sep 10, 2018
Recent dramatic advances in multiomics research coupled with exponentially increasing volume, complexity, and interdisciplinary nature of publications are making it challenging for scientists to stay up-to-date on the literature. Strategies to addres...
Prediction of Acquired Taxane Resistance Using a Personalized Pathway-Based Machine Learning Method.
Cancer research and treatment
Aug 10, 2018
PURPOSE: This study was conducted to develop and validate an individualized prediction model for automated detection of acquired taxane resistance (ATR).
Deep learning in pharmacogenomics: from gene regulation to patient stratification.
Pharmacogenomics
Apr 26, 2018
This Perspective provides examples of current and future applications of deep learning in pharmacogenomics, including: identification of novel regulatory variants located in noncoding domains of the genome and their function as applied to pharmacoepi...
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 ...
Structure-Activity Relationship
Models, Molecular
Fluorouracil
Inhibitory Concentration 50
Genotype
Dose-Response Relationship, Drug
Cell Survival
Predictive Value of Tests
Antimetabolites, Antineoplastic
Mutation, Missense
Dihydrouracil Dehydrogenase (NADP)
Pharmacogenomic Testing
HCT116 Cells
HEK293 Cells
Gene Frequency
Protein Conformation
Humans
Machine Learning
Computer Simulation
Risk Assessment
Pharmacogenetics
Pharmacogenomic Variants
Update: healthcare reform - it's getting personal.
Personalized medicine
Jun 22, 2017
Prediction of synergistic anti-cancer drug combinations based on drug target network and drug induced gene expression profiles.
Artificial intelligence in medicine
Jun 3, 2017
OBJECTIVE: Synergistic drug combinations are promising therapies for cancer treatment. However, effective prediction of synergistic drug combinations is quite challenging as mechanisms of drug synergism are still unclear. Various features such as dru...
Antineoplastic Combined Chemotherapy Protocols
Databases, Genetic
Drug Synergism
Gene Regulatory Networks
Gene Expression Profiling
Humans
Computational Biology
Transcriptome
Artificial Intelligence
Gene Expression Regulation, Neoplastic
Pharmacogenetics
Computer Simulation
Signal Transduction
Protein Interaction Maps
Reproducibility of Results
Neoplasms
Learning from biomedical linked data to suggest valid pharmacogenes.
Journal of biomedical semantics
Apr 20, 2017
BACKGROUND: A standard task in pharmacogenomics research is identifying genes that may be involved in drug response variability, i.e., pharmacogenes. Because genomic experiments tended to generate many false positives, computational approaches based ...
Efavirenz pharmacogenetics in a cohort of Italian patients.
International journal of antimicrobial agents
Dec 18, 2015
The pharmacogenetics and pharmacokinetics of efavirenz (EFV) have been widely studied, although data in the Italian population are limited. Single nucleotide polymorphisms (SNPs) in the CYP2B6 gene have been associated with increased EFV plasma conce...
Learning the Structure of Biomedical Relationships from Unstructured Text.
PLoS computational biology
Jul 28, 2015
The published biomedical research literature encompasses most of our understanding of how drugs interact with gene products to produce physiological responses (phenotypes). Unfortunately, this information is distributed throughout the unstructured te...
Revisiting Warfarin Dosing Using Machine Learning Techniques.
Computational and mathematical methods in medicine
Jun 4, 2015
Determining the appropriate dosage of warfarin is an important yet challenging task. Several prediction models have been proposed to estimate a therapeutic dose for patients. The models are either clinical models which contain clinical and demographi...
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