Cloete Ruben, Akurugu Wisdom A, Werely Cedric J, van Helden Paul D, Christoffels Alan
South African Medical Research Council Bioinformatics Unit, South African National Bioinformatics Institute, University of the Western Cape, Private Bag X17, Bellville, Cape Town 7535, South Africa.
SAMRC Centre for Molecular and Cellular Biology, and DST-NRF Centre of Excellence for Biomedical TB Research. Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, P.O. Box 241, Cape Town 8000, South Africa.
J Mol Graph Model. 2017 Aug;75:330-339. doi: 10.1016/j.jmgm.2017.04.026. Epub 2017 Jun 10.
The human arylamine N-acetyltransferase 1 (NAT1) enzyme plays a vital role in determining the duration of action of amine-containing drugs such as para-aminobenzoic acid (PABA) by influencing the balance between detoxification and metabolic activation of these drugs. Recently, four novel single nucleotide polymorphisms (SNPs) were identified within a South African mixed ancestry population. Modeling the effects of these SNPs within the structural protein was done to assess possible structure and function changes in the enzyme. The use of molecular dynamics simulations and stability predictions indicated less thermodynamically stable protein structures containing E264K and V231G, while the N245I change showed a stabilizing effect. Coincidently the N245I change displayed a similar free energy landscape profile to the known R64W amino acid substitution (slow acetylator), while the R242M displayed a similar profile to the published variant, I263V (proposed fast acetylator), and the wild type protein structure. Similarly, principal component analysis indicated that two amino acid substitutions (E264K and V231G) occupied less conformational clusters of folded states as compared to the WT and were found to be destabilizing (may affect protein function). However, two of the four novel SNPs that result in amino acid changes: (V231G and N245I) were predicted by both SIFT and POLYPHEN-2 algorithms to affect NAT1 protein function, while two other SNPs that result in R242M and E264K substitutions showed contradictory results based on SIFT and POLYPHEN-2 analysis. In conclusion, the structural methods were able to verify that two non-synonymous substitutions (E264K and V231G) can destabilize the protein structure, and are in agreement with mCSM predictions, and should therefore be experimentally tested for NAT1 activity. These findings could inform a strategy of incorporating genotypic data (i.e., functional SNP alleles) with phenotypic information (slow or fast acetylator) to better prescribe effective treatment using drugs metabolized by NAT1.
人类芳胺N - 乙酰基转移酶1(NAT1)通过影响含胺类药物(如对氨基苯甲酸,PABA)的解毒与代谢活化之间的平衡,在决定此类药物的作用持续时间方面发挥着至关重要的作用。最近,在南非混合血统人群中鉴定出了四个新的单核苷酸多态性(SNP)。对这些SNP在结构蛋白中的影响进行建模,以评估该酶可能的结构和功能变化。分子动力学模拟和稳定性预测的结果表明,含有E264K和V231G的蛋白质结构在热力学上稳定性较低,而N245I的变化则显示出稳定作用。巧合的是,N245I的变化呈现出与已知的R64W氨基酸替代(慢乙酰化酶)相似的自由能景观图谱,而R242M则呈现出与已发表的变体I263V(推测为快乙酰化酶)以及野生型蛋白质结构相似的图谱。同样,主成分分析表明,与野生型相比,两个氨基酸替代(E264K和V231G)占据的折叠态构象簇较少,并且被发现具有去稳定作用(可能影响蛋白质功能)。然而,导致氨基酸变化的四个新SNP中的两个(V231G和N245I),通过SIFT和POLYPHEN - 2算法预测会影响NAT1蛋白质功能,而另外两个导致R242M和E264K替代的SNP,基于SIFT和POLYPHEN - 2分析显示出相互矛盾的结果。总之, 结构方法能够验证两个非同义替代(E264K和V231G)会使蛋白质结构不稳定,这与mCSM预测结果一致,因此应该对NAT1活性进行实验测试。这些发现可以为将基因型数据(即功能性SNP等位基因)与表型信息(慢或快乙酰化酶)相结合的策略提供依据,以便更好地使用由NAT1代谢的药物进行有效治疗。