Associated Papers
Mining cancer genomes for change-of-metabolic-function mutations.
Tu KJ et al.
Communications Biology, 2023
37950065 (PubMed )
Supplement: 42003_2023_5475_MOESM2_ESM.pdf
Systematic analysis of the intersection of disease mutations with protein modifications.
Simpson CM et al.
Bmc Medical Genomics, 2019
31345222 (PubMed )
Supplement: 12920_2019_543_MOESM2_ESM.xlsx › S2
Functional characterization of 10 CYP4A11 allelic variants to evaluate the effect of genotype on arachidonic acid ω-hydroxylation.
Saito T et al.
Drug Metabolism and Pharmacokinetics, 2015
Age-related mutations associated with clonal hematopoietic expansion and malignancies.
Xie M et al.
Nature Medicine, 2014
25326804 (PubMed )
Supplement: NIHMS630249-supplement-7.xlsx › supplementaryTable3b.txt
Assessment of computational methods for predicting the effects of missense mutations in human cancers.
Gnad F et al.
Bmc Genomics, 2013
23819521 (PubMed )
Supplement: 1471-2164-14-S3-S7-S1.xlsx › COSMIC
CanDrA: cancer-specific driver missense mutation annotation with optimized features.
Mao Y et al.
Plos One, 2013
24205039 (PubMed )
Supplement: pone.0077945.s001.xls › Table_S3
Genetic polymorphism of CYP4A11 and CYP4A22 genes and in silico insights from comparative 3D modelling in a French population.
Lino Cardenas CL et al.
Gene, 2011
Expression of CYP2A6, CYP2D6 and CYP4A11 Polymorphisms in COS7 Mammalian Cell Line.
Lee HJ et al.
Toxicological Research, 2011
Genetic polymorphisms and haplotype structures of the CYP4A22 gene in a Japanese population.
Hiratsuka M et al.
Mutation Research, 2006
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