ABCB1 p.Asn44Ser
| Predicted by SNAP2: | A: N (72%), C: N (57%), D: N (97%), E: N (82%), F: D (53%), G: N (87%), H: N (61%), I: D (53%), K: N (82%), L: D (59%), M: N (53%), P: N (72%), Q: N (61%), R: N (61%), S: N (97%), T: N (97%), V: N (57%), W: D (59%), Y: D (53%), |
| Predicted by PROVEAN: | A: N, C: D, D: N, E: N, F: D, G: N, H: N, I: D, K: N, L: D, M: D, P: N, Q: N, R: N, S: N, T: N, V: D, W: D, Y: D, |
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[hide] Genetic polymorphisms of ATP-binding cassette tran... Expert Opin Pharmacother. 2005 Nov;6(14):2455-73. Sakurai A, Tamura A, Onishi Y, Ishikawa T
Genetic polymorphisms of ATP-binding cassette transporters ABCB1 and ABCG2: therapeutic implications.
Expert Opin Pharmacother. 2005 Nov;6(14):2455-73., [PMID:16259577]
Abstract [show]
Pharmacogenomics, the study of the influence of genetic factors on drug action, is increasingly important for predicting pharmacokinetics profiles and/or adverse reactions to drugs. Drug transporters, as well as drug metabolism play pivotal roles in determining the pharmacokinetic profiles of drugs and their overall pharmacological effects. There is an increasing number of reports addressing genetic polymorphisms of drug transporters. However, information regarding the functional impact of genetic polymorphisms in drug transporter genes is still limited. Detailed functional analysis in vitro may provide clear insight into the biochemical and therapeutic significance of genetic polymorphisms. This review addresses functional aspects of the genetic polymorphisms of human ATP-binding cassette transporters, ABCB1 and ABCG2, which are critically involved in the pharmacokinetics of drugs.
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No. Sentence Comment
129 N21D M89T N44S H2N F103L E108K N183S G185V I261V S400N R492C A599T L662R R669C V801M A893S/T I829V I849M M986V A999T G1063A P1051A Q1107P W1108R I1145M S1141T V1251I T1256K COOH ATP-binding site ATP-binding site EXTRACELLULAR INTRACELLULAR A80E Figure 2.
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ABCB1 p.Asn44Ser 16259577:129:10
status: NEW[hide] Clinical pharmacogenetics and potential applicatio... Curr Drug Metab. 2008 Oct;9(8):738-84. Zhou SF, Di YM, Chan E, Du YM, Chow VD, Xue CC, Lai X, Wang JC, Li CG, Tian M, Duan W
Clinical pharmacogenetics and potential application in personalized medicine.
Curr Drug Metab. 2008 Oct;9(8):738-84., [PMID:18855611]
Abstract [show]
The current 'fixed-dosage strategy' approach to medicine, means there is much inter-individual variation in drug response. Pharmacogenetics is the study of how inter-individual variations in the DNA sequence of specific genes affect drug responses. This article will highlight current pharmacogenetic knowledge on important drug metabolizing enzymes, drug transporters and drug targets to understand interindividual variability in drug clearance and responses in clinical practice and potential use in personalized medicine. Polymorphisms in the cytochrome P450 (CYP) family may have had the most impact on the fate of pharmaceutical drugs. CYP2D6, CYP2C19 and CYP2C9 gene polymorphisms and gene duplications account for the most frequent variations in phase I metabolism of drugs since nearly 80% of drugs in use today are metabolised by these enzymes. Approximately 5% of Europeans and 1% of Asians lack CYP2D6 activity, and these individuals are known as poor metabolizers. CYP2C9 is another clinically significant drug metabolising enzyme that demonstrates genetic variants. Studies into CYP2C9 polymorphism have highlighted the importance of the CYP2C9*2 and CYP2C9*3 alleles. Extensive polymorphism also occurs in a majority of Phase II drug metabolizing enzymes. One of the most important polymorphisms is thiopurine S-methyl transferases (TPMT) that catalyzes the S-methylation of thiopurine drugs. With respect to drug transport polymorphism, the most extensively studied drug transporter is P-glycoprotein (P-gp/MDR1), but the current data on the clinical impact is limited. Polymorphisms in drug transporters may change drug's distribution, excretion and response. Recent advances in molecular research have revealed many of the genes that encode drug targets demonstrate genetic polymorphism. These variations, in many cases, have altered the targets sensitivity to the specific drug molecule and thus have a profound effect on drug efficacy and toxicity. For example, the beta (2)-adrenoreceptor, which is encoded by the ADRB2 gene, illustrates a clinically significant genetic variation in drug targets. The variable number tandem repeat polymorphisms in serotonin transporter (SERT/SLC6A4) gene are associated with response to antidepressants. The distribution of the common variant alleles of genes that encode drug metabolizing enzymes, drug transporters and drug targets has been found to vary among different populations. The promise of pharmacogenetics lies in its potential to identify the right drug at the right dose for the right individual. Drugs with a narrow therapeutic index are thought to benefit more from pharmacogenetic studies. For example, warfarin serves as a good practical example of how pharmacogenetics can be utilized prior to commencement of therapy in order to achieve maximum efficacy and minimum toxicity. As such, pharmacogenetics has the potential to achieve optimal quality use of medicines, and to improve the efficacy and safety of both prospective and licensed drugs.
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No. Sentence Comment
532 Nucleotide change rs number Amino acid change 49T>C rs28381804 F17L 61A>G rs61615398; rs9282564 N21D 131A>G rs1202183 N44S 178A>C rs41315618 I60L 239C>A rs9282565 A80E 266T>C Rs35810889 M89T 431T>C rs61607171 I144T 502G>A rs61122623 V168I 548A>G rs60419673 N183S 554G>T rs1128501 G185V 781A>G rs36008564 I261V 1199G>A rs2229109 S400N 1696G>A rs28381902 E566K 1777C>T rs28381914 R593C 1778G>A rs56107566 R593H 1795G>A rs2235036 A599T 1837G>T rs57001392 D613Y 1985T>G rs61762047 L662R 2005C>T rs35023033 R669C 2207A>T rs41316450 I736K 2398G>A rs41305517 D800N 2401G>A rs2235039 V801M 2485A>G rs2032581 I829V 2506A>G rs28381967 I836V 2547A>G rs36105130 I849M 2677T>A/G rs2032582 S893A/T 2975G>A rs56849127 S992N 3151C>G rs28401798 P1051A 3188G>C rs2707944 G1063A 3262G>A rs57521326 D1088N 3295A>G rs41309225 K1099E 3320A>C rs55852620 Q1107P 3322T>C rs35730308 W1108R 3410G>T rs41309228 S1137I 3421T>A rs2229107 S1141T 3502A>G rs59241388 K1168E 3669A>T rs41309231 E1223D 3751G>A rs28364274 V1251I 3767C>A r35721439 T1256K Data are from NCBI dbSNP (access date: 2 August 2008).
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ABCB1 p.Asn44Ser 18855611:532:118
status: NEW[hide] Pharmacogenomics of drug transporters: a new appro... Biol Pharm Bull. 2004 Jul;27(7):939-48. Ishikawa T, Onishi Y, Hirano H, Oosumi K, Nagakura M, Tarui S
Pharmacogenomics of drug transporters: a new approach to functional analysis of the genetic polymorphisms of ABCB1 (P-glycoprotein/MDR1).
Biol Pharm Bull. 2004 Jul;27(7):939-48., [PMID:15256718]
Abstract [show]
In the 21st century, emerging genomic technologies (i.e., bioinformatics, functional genomics, and pharmacogenomics) are shifting the paradigm of drug discovery research and improving the strategy of medical care for patients. In order to realize the personalized medicine, it is critically important to understand molecular mechanisms underlying inter-individual differences in the drug response, namely, pharmacological effect vs. side effect. Evidence is now accumulating to strongly suggest that drug transporters are one of the determinant factors governing the pharmacokinetic profile of drugs. Effort has been made to identify genetic variation in drug transporter genes. In particular, genetic variations of the human ABCB1 (P-glycoprotein/MDR1) gene have been most extensively studied. Hitherto more than fifty single nucleotide polymorphisms (SNPs) and insertion/deletion polymorphisms in the ABCB1 gene have been reported. However, at the present time, information is still limited with respect to the actual effect of those genetic polymorphisms on the function of ABCB1. In this context, we have undertaken functional analyses of ABCB1 polymorphisms. To quantify the impact of genetic polymorphisms on the substrate specificity of ABCB1, we have developed a high-speed screening system and a new structure-activity relationship (SAR) analysis method. This review addresses functional aspects of the genetic polymorphism of ABCB1 and provides the standard method to evaluate the effect of polymorphisms on the function.
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No. Sentence Comment
79 For this purpose, the cDNA of ABCB1 was cloned from the human liver cDNA library, and several variant forms (i.e., N21D, N44S, F103L, G185V, S400N, A893S, A893T, M986V) were prepared by site-directed mutagenesis (see Fig. 4A for primers).
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ABCB1 p.Asn44Ser 15256718:79:121
status: NEW94 The variant forms (i.e., N21D, N44S, F103L, G185V, S400N, A893S, A893T, M986V) exhibited the verapamil-enhanced ATPase activity, as did the wild type of ABCB1.
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ABCB1 p.Asn44Ser 15256718:94:31
status: NEW118 Kinetic Parameters of the Wild Type and SNP Variants of ABCB1 Variant Km Vmax (mM) (nmol/min/mg protein) Wild type 2.190Ϯ0.150 13.14Ϯ1.95 N21D 0.502Ϯ0.126 45.26Ϯ11.33 N44S 0.580Ϯ0.148 31.03Ϯ4.65 F103L 1.100Ϯ0.078 36.34Ϯ8.33 G185V 0.831Ϯ0.102 56.76Ϯ6.76 S400N 0.327Ϯ0.025 13.74Ϯ2.08 A893S 0.441Ϯ0.042 17.24Ϯ6.72 A893T 0.904Ϯ0.244 10.77Ϯ1.35 M986V 0.419Ϯ0.062 22.69Ϯ6.84 The wild type and variants of ABCB1 were then expressed it in Sf9 cells using the pFASTBAC1 vector and recombinant baculoviruses.
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ABCB1 p.Asn44Ser 15256718:118:191
status: NEW[hide] Functional evaluation of ABCB1 (P-glycoprotein) po... Drug Metab Pharmacokinet. 2004 Feb;19(1):1-14. Ishikawa T, Hirano H, Onishi Y, Sakurai A, Tarui S
Functional evaluation of ABCB1 (P-glycoprotein) polymorphisms: high-speed screening and structure-activity relationship analyses.
Drug Metab Pharmacokinet. 2004 Feb;19(1):1-14., [PMID:15499164]
Abstract [show]
Evidence is accumulating to strongly suggest that drug transporters are one of the determinant factors governing the pharmacokinetic profile of drugs. Effort has been made to identify genetic variation in drug transporter genes. In particular, genetic variations of the human ABCB1 (MDR1) gene have been most extensively studied. Hitherto more than fifty single nucleotide polymorphisms (SNPs) and insertion/deletion polymorphisms in the ABCB1 gene have been reported. However, at the present time, information is still limited with respect to the actual effect of those genetic polymorphisms on the function of ABCB1. In this context, we have undertaken functional analyses of ABCB1 polymorphisms. To quantify the impact of genetic polymorphisms on the substrate specificity of ABCB1, we have developed a high-speed screening system and a new structure-activity relationship (SAR) analysis method. This review addresses functional aspects of the genetic polymorphism of ABCB1 and provides the standard method to evaluate the effect of polymorphisms on the function.
Comments [show]
None has been submitted yet.
No. Sentence Comment
78 For this purpose, the cDNA of ABCB1 was cloned from the human liver cDNA library, and several variant forms (i.e., N21D, N44S, F103L, G185V, S400N, A893S, A893T, M986V) were prepared by site-directed mutagenesis (see Fig. 2A for primers).
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ABCB1 p.Asn44Ser 15499164:78:121
status: NEW86 The variant forms (i.e., N21D, N44S, F103L, G185V, S400N, A893S, A893T, M986V) exhibited the verapamil-enhanced ATPase activity, as did the wild type of ABCB1.
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ABCB1 p.Asn44Ser 15499164:86:31
status: NEW105 Kinetic parameters of the wild type and SNP variants of ABCB1 Variant Km Vmax (mM) (nmolWminWmg protein) Wild type 2.190±0.150 13.14±1.95 N21D 0.502±0.126 45.26±11.33 N44S 0.580±0.148 31.03±4.65 F103L 1.100±0.078 36.34±8.33 G185V 0.831±0.102 56.76±6.76 S400N 0.327±0.025 13.74±2.08 A893S 0.441±0.042 17.24±6.72 A893T 0.904±0.244 10.77±1.35 M986V 0.419±0.062 22.69±6.84 The wild type and variants of ABCB1 were then expressed it in Sf9 cells using the pFASTBAC1 vector and recombinant baculoviruses.
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ABCB1 p.Asn44Ser 15499164:105:187
status: NEW