Skip to main navigation
Skip to search
Skip to main content
HSC Home
Home
Research units
Profiles
Publications
Sponsored Projects
Core Facilities
Search by expertise, name or affiliation
A pathway-driven predictive model of tramadol pharmacogenetics
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'A pathway-driven predictive model of tramadol pharmacogenetics'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Pharmacogenetics
100%
Polypeptide
100%
Predictive Models
100%
Tramadol
100%
Cytochrome P450 (CYP450)
83%
Metabolizer Status
50%
UGT2B7
33%
Feature Selection
16%
Marketed Drugs
16%
5 Gene
16%
Supervised Machine Learning
16%
Genotype-phenotype
16%
Machining Feature
16%
Genetic Data
16%
μ-opioid Receptor
16%
Adenosine Triphosphate-binding Cassette
16%
Endogenous Neurotoxins
16%
Beta numbers
16%
Metabolite Ratios
16%
Catechol-O-methyltransferase
16%
Primary Metabolites
16%
Combinatorial Model
16%
Subfamily B
16%
Uridine Diphosphate Glucuronosyltransferase
16%
Biochemistry, Genetics and Molecular Biology
Pharmacogenetics
100%
Tramadol
100%
Cytochrome P450
100%
UGT2B7
40%
Genetics
20%
Adenosine Triphosphate
20%
Opioid Receptor
20%
Supervised Machine Learning
20%
O-Methyltransferase
20%
Primary Metabolite
20%
Glucuronosyltransferase
20%
Feature Extraction
20%
Pharmacology, Toxicology and Pharmaceutical Science
Pharmacogenetics
100%
Polypeptide
100%
Tramadol
100%
Cytochrome P450 Family 2
83%
Adenosine Triphosphate
16%
Catechol
16%
Methyltransferase
16%
Glucuronosyltransferase
16%
μ-Opioid Receptor
16%
Neuroscience
Polypeptide
100%
Tramadol
100%
Cytochrome P450 Family 2
83%
UGT2B7
33%
Adenosine Triphosphate
16%
μ-Opioid Receptor
16%
Glucuronosyltransferase
16%
Methyltransferase
16%