Improvement of reliability of molecular DNA computing: solution of inverse problem of Raman spectroscopy using artificial neural networks

被引：7

作者：

Dolenko, T. A. ^{[1
,2
,3
]}

Burikov, S. A. ^{[1
,2
]}

Vervald, E. N. ^{[1
]}

Efitorov, A. O. ^{[2
]}

Laptinskiy, K. A. ^{[1
,2
]}

Sarmanova, O. E. ^{[1
]}

Dolenko, S. A. ^{[2
]}

机构：

[1] Lomonosov Moscow State Univ, Dept Phys, Leninskie Gory 1-2, Moscow 119991, Russia

[2] Lomonosov Moscow State Univ, Skobeltsyn Inst Nucl Phys, Leninsky Gory 1-2, Moscow 119991, Russia

[3] Natl Res Nucl Univ MEPhI, Moscow 115409, Russia

来源：

LASER PHYSICS | 2017年 / 27卷 / 02期

基金：

俄罗斯科学基金会; 俄罗斯基础研究基金会;

关键词：

molecular computations; nitrogenous bases; Raman spectroscopy; artificial neural networks; COMPUTATION; LIGATION; FIDELITY;

D O I：

10.1088/1555-6611/aa51a7

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

Elaboration of methods for the control of biochemical reactions with deoxyribonucleic acid (DNA) strands is necessary for the solution of one of the basic problems in the creation of biocomputers-improvement in the reliability of molecular DNA computing. In this paper, the results of the solution of the four-parameter inverse problem of laser Raman spectroscopy the determination of the type and concentration of each of the DNA nitrogenous bases in multi-component solutions-are presented.

引用

页数：8

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