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Mutation at 235th Nucleotide in Mutated Myc Gene Down-Regulates Over-Expression and Cancer Growth: A Computational Genomic Approach

机译:第235次突变在突变Myc基因中的突变下调过度表达和癌症生长:计算基因组方法

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The work refers to development of computational methodology for characterization of coding sequence of the proto-oncogene Myc present in chromosome 8 of human genome. The mutation at 288th codon where AGC is replaced by AAC results in the substitution of serine to asparagine. This causes over expression of the gene to become an oncogene which ultimately results in uncontrolled tumor formation. A computational methodology has been designed based on Shannon's information theory which mimics the functional weights of the nucleotides. Three parameters, TMIC (Total Modular Information Content), BAI (Binding Affinity Index) and IPCIC (Integrated Per Class Information Content), have been developed to calculate the functional values of the nucleotides. In the process of calculating the parameters, the chemical attribute considered is the partial charge on heteroatoms of A, T, G and C constituting the molecules. The partial charges were calculated using Gaussian software. Two concepts have been utilized in the computational methodology-degeneracy of codons and sensitivity operations of different orders. The IPCIC values of the nucleotides A, T, G and C are 3.84076, 2.8133, 3.2800 and 2.7968 respectively. Using these functional weights of the nucleotides and following 4th order sensitivity operations, the characteristic value of the normal Myc gene was calculated to be 207.1965 and that of the mutated gene was 818.2066. An approach has been initiated by mutating codons following degeneracy principle so that the protein product of the gene is unchanged. The mutation is done at places other than 288th position. Correction of mutated codon at 288th position is not energetically feasible as internal energy of mutated gene is less than that of the normal gene. The mutated Myc gene is more stable than that of the normal gene. The results show that, replacing GGA by GGG at 235th position of mutated Myc gene sequence brings the characteristic value of mutated Myc gene closer to that of normal gene. This gives a strong physical implication that the virulency of the cancerous gene can be reduced to that of the normal gene, thus reducing it's over expression. Such an approach can be employed in cancer research for treatment of cancer for addressing malignant growth. Degeneracy of codons indicates that resolution of mutational effect of gene is not unique. Characteristic value of mutated gene would come to normal/near normal by mono as well as multi point mutational implant. Scope of the work is multivariate. Further studies are in progress.
机译:该作品是指用于表征人类基因组染色体中存在的原癌基因MYC的编码序列的计算方法的发展。 288℃的突变,其中AGC被AAC取代导致丝氨酸取代至天冬酰胺。这导致基因的表达成为癌基因,最终导致不受控制的肿瘤形成。基于Shannon的信息理论设计了计算方法,其模仿核苷酸的功能重量。已经开发出三个参数,TMIC(总模块信息内容),BAI(绑定亲和指数)和IPCIC(集成为每类信息内容)以计算核苷酸的功能值。在计算参数的过程中,所考虑的化学属性是构成分子的A,T,G和C的杂原子的部分电荷。使用高斯软件计算部分费用。在不同订单的密码子和敏感性操作的计算方法 - 退化中已经利用了两个概念。核苷酸A,T,G和C的IPCic值分别为3.84076,2.8133,3.2800和2.7968。使用核苷酸的这些功能重量和第4阶灵敏度操作,计算正常MYC基因的特征值为207.1965,突变基因的特征值为818.2066。通过在退化原理之后通过突变密码子来启动一种方法,使得基因的蛋白质产物不变。突变在第288位的位置进行。随着突变基因的内部能量小于正常基因的内部能量,突变密码子在288个位置的校正并不能够是能量的。突变的Myc基因比正常基因更稳定。结果表明,在第235次突变的Myc基因序列中通过GGG替换GGA,使突变的Myc基因更接近正常基因的特征值。这给出了强烈的物理意义,即癌基因的毒性可以减少到正常基因的毒性,从而减少它过度表达。这种方法可用于癌症研究以治疗癌症以解决恶性生长。密码子的退化表明基因的突变效应的分辨率不是独特的。 Mono的突变基因的特征值将达到正常/接近正常,以及多点突变植入物。工作范围是多变量的。进一步的研究正在进行中。

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