CN116092575A - Discrimination method of G-DNA structure based on GMNS rule - Google Patents
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Abstract
Description
技术领域technical field
本发明属于生物分析技术领域,具体涉及基于GMNS法则的G-DNA结构判别方法。The invention belongs to the technical field of biological analysis, in particular to a G-DNA structure discrimination method based on the GMNS rule.
背景技术Background technique
随着人们对核酸的深入研究,发现DNA结构具有多样性特点,如单链DNA、双链DNA、hairpin DNA、I-DNA、G-DNA、DNA三聚体等,DNA结构的多样性为小分子与DNA作用提供了丰富的作用方式,为特异性识别即捕获小分子提供了更适宜的靶标位点,为开展DNA与小分子作用研究提供了基础。因此,开展DNA结构特别是三维结构分析具有重要研究意义。With the in-depth study of nucleic acid, it is found that the DNA structure has the characteristics of diversity, such as single-stranded DNA, double-stranded DNA, hairpin DNA, I-DNA, G-DNA, DNA trimer, etc. The diversity of DNA structure is small The interaction between molecules and DNA provides a rich mode of action, provides a more suitable target site for specific recognition or capture of small molecules, and provides a basis for research on the interaction between DNA and small molecules. Therefore, it is of great significance to carry out the analysis of DNA structure, especially the three-dimensional structure.
事实表明,DNA碱基种类虽然只有腺嘌呤、鸟嘌呤、胞嘧啶、胸腺嘧啶四种,但其组成的DNA序列差异万千种,如何判断DNA三维结构是首先要解决的问题。目前对于单链DNA、双链DNA、hairpin DNA的判别方法比较容易,主要是根据DNA分子内及DNA分子间是否可以通过氢键相连形成碱基互补配对进行判断。然而对于G-DNA(G四链体DNA)目前则没有直接可用的判别方法,只能通过实验结果、仪器表征的手段进行分析,如紫外-可见光谱法、红外光谱法、圆二色光谱法等。因此,对于任意给定DNA序列,其是否可以形成于G-DNA,或是具有何种碱基、碱基序列、结构特点的特定结构单元可以形成I-DNA、G-DNA,目前都不能给出判定结果。Facts have shown that although there are only four types of DNA bases: adenine, guanine, cytosine, and thymine, the DNA sequences composed of them vary in thousands of ways. How to determine the three-dimensional structure of DNA is the first problem to be solved. At present, it is relatively easy to distinguish single-stranded DNA, double-stranded DNA, and hairpin DNA, mainly based on whether the DNA molecules and DNA molecules can be connected by hydrogen bonds to form complementary base pairing. However, for G-DNA (G quadruplex DNA), there is currently no directly available discrimination method, and it can only be analyzed by means of experimental results and instrumental characterization, such as ultraviolet-visible spectroscopy, infrared spectroscopy, and circular dichroism spectroscopy. wait. Therefore, for any given DNA sequence, whether it can be formed in G-DNA, or whether a specific structural unit with what base, base sequence, and structural characteristics can form I-DNA or G-DNA, cannot be determined at present. Judgment result.
G-DNA在生理作用、生物医药、食品安全分析、环境保护等领域已经得到广泛的应用,因此探究规律、揭示本质、提出G-DNA结构判别方法,对研究小分子与DNA分子之间的结合方式、作用模式、致病机理等方面,具有重要意义。G-DNA has been widely used in the fields of physiological functions, biomedicine, food safety analysis, and environmental protection. Therefore, exploring the laws, revealing the essence, and proposing a method for discriminating the G-DNA structure are crucial to the study of the combination of small molecules and DNA molecules. It is of great significance in terms of mode, mode of action and pathogenic mechanism.
发明内容Contents of the invention
本发明公开了基于GMNS法则的G-DNA结构判别方法,无需实验仅根据DNA序列即可判断是否为G-DNA结构,简单方便。The invention discloses a method for discriminating the G-DNA structure based on the GMNS rule, which can judge whether it is a G-DNA structure only according to the DNA sequence without experiment, and is simple and convenient.
为了实现上述目的,本发明采用如下技术方案:In order to achieve the above object, the present invention adopts the following technical solutions:
基于GMNS法则的G-DNA结构判别方法,包括如下步骤:The G-DNA structure discrimination method based on the GMNS rule comprises the following steps:
(1)编号DNA序列(1) Numbered DNA sequence
从任意一端开始对给定DNA片段的碱基B进行编号:B1、B2、B3、B4…;Number the bases B of a given DNA fragment starting from either end: B 1 , B 2 , B 3 , B 4 ...;
(2)筛选特征性片段(2) Screening of characteristic fragments
取给定DNA片段中的富G碱基片段,标定其中第一个碱基G为有效碱基Gx,x为第一个碱基G在给定DNA片段中的编号;从Gx碱基开始计数,至Gx+n碱基位数截止,选Bx-y至Bx+n+z为G-DNA有效特征性片段;35≥n≥9,10≥y≥0,10≥z≥0;Take the G-rich base fragment in the given DNA fragment, and calibrate the first base G as the effective base G x , where x is the number of the first base G in the given DNA fragment; from G x base Start counting until the number of G x+n bases ends, select B xy to B x+n+z as effective characteristic fragments of G-DNA; 35≥n≥9, 10≥y≥0, 10≥z≥0 ;
(3)分析G碱基特征(3) Analysis of G base characteristics
分析有效特征性片段中由连续几个G碱基构成的G结构单元,其中不同碱基数量的G结构单元分别标记为GM,M为G结构单元中G碱基数量,如M1,M2,M3,M4……;Analyze the G structural unit consisting of several consecutive G bases in the effective characteristic fragment, where the G structural units with different base numbers are marked as GM, and M is the number of G bases in the G structural unit, such as M1, M2, M3 , M4...;
(4)计数GM结构单元(4) Counting GM structural units
分别计算每种GM结构单元的数量N;Calculate the number N of each GM structural unit separately;
(5)G-DNA结构判别(5) G-DNA structure discrimination
标记并分别计算相邻G结构单元之间碱基数量S;Mark and calculate the number of bases S between adjacent G structural units;
M≥2,N≥1,8≥S≥1,且有效特征性片段中存在结构重复单元则判别为G-DNA结构;M≥2, N≥1, 8≥S≥1, and there are structural repeating units in the effective characteristic fragments, it is judged as G-DNA structure;
有效特征性片段中存在结构重复单元,指有效特征性片段中:There are structural repeating units in the effective characteristic fragment, which means that in the effective characteristic fragment:
对于一种G结构单元,非连续重复至少4个;For a G structural unit, at least 4 non-consecutive repeats;
或对于至少两种G结构单元形成的组合结构,非连续重复至少2个;上述“非连续”指相邻G结构单元之间存在G以外的其他碱基。Or for a combined structure formed by at least two G structural units, there are at least 2 non-continuous repeats; the above-mentioned "non-continuous" means that there are other bases other than G between adjacent G structural units.
进一步地,富G碱基片段是给定DNA片段中G碱基较集中的部分,特别是指结构重复单元部分碱基序列。Furthermore, the G-base-rich fragment refers to the concentrated part of G bases in a given DNA fragment, especially refers to the part of the base sequence of the structural repeating unit.
进一步地,有效特征性片段碱基数不超过36个。Further, the number of effective characteristic fragment bases does not exceed 36.
进一步地,任意一端为3’端和/或5’端。Further, any end is the 3' end and/or the 5' end.
进一步地,有效特征性片段中G碱基占比为10%~80%。Further, the proportion of G bases in the effective characteristic fragments is 10%-80%.
进一步地,有效特征性片段中G碱基占比35%~80%。Further, G bases account for 35% to 80% of the effective characteristic fragments.
进一步地,35≥n≥16,4≥y≥0,4≥z≥0。Further, 35≥n≥16, 4≥y≥0, 4≥z≥0.
进一步地,5≥M≥2,12≥N≥3,4≥S≥1。Further, 5≥M≥2, 12≥N≥3, 4≥S≥1.
在M、N、S的进一步限定的范围内,判定的G-DNA结构更为稳定。Within the further defined range of M, N, S, the determined G-DNA structure is more stable.
进一步地,可使用常规编程语言根据上述方法书写用于判别G-DNA结构的程序,形成判别G-DNA结构用于模块或系统。Further, a routine program language can be used to write a program for discriminating G-DNA structure according to the above-mentioned method to form a discriminating G-DNA structure for use in modules or systems.
本发明有益效果在于:The beneficial effects of the present invention are:
1)本发明所采用的GMNS方法简单、快速、提高分析效率;1) The GMNS method adopted in the present invention is simple, fast, and improves analysis efficiency;
2)本发明所采用的GMNS方法适用于G-DNA结构快速判别;2) The GMNS method adopted in the present invention is applicable to the rapid discrimination of G-DNA structure;
4)本发明所采用的GMNS方法可以减少、降低实验成本;4) The GMNS method adopted in the present invention can reduce and reduce the experimental cost;
5)本发明所采用的GMNS方法可以为G-DNA与小分子作用模式研究提供理论支撑。5) The GMNS method adopted in the present invention can provide theoretical support for the research on the interaction mode of G-DNA and small molecules.
综上所述,本发明提出一种快速判别G-DNA结构的GMNS方法,建立了一种适用于短链DNA的、基于G碱基分布特征的G-DNA结构判别方法,为G-DNA结构验证提供了理论依据,为揭示G-DNA与靶标作用机理提供了理论支撑。该GMNS方法对于短链DNA的三维结构分析,具有简单、快速、可靠性高的特点,对丰富、完善DNA结构分析及与靶标作用研究等方面具有重要意义和价值。In summary, the present invention proposes a GMNS method for quickly discriminating the G-DNA structure, and establishes a G-DNA structure discriminating method suitable for short-chain DNA based on the distribution characteristics of G bases. The verification provides a theoretical basis and a theoretical support for revealing the mechanism of G-DNA and the target interaction. The GMNS method has the characteristics of simplicity, rapidity and high reliability for the three-dimensional structure analysis of short-chain DNA, and is of great significance and value for enriching and perfecting the analysis of DNA structure and the study of the interaction with targets.
附图说明Description of drawings
图1所示为实施列1的DNA序列碱基编号示意图。Figure 1 is a schematic diagram of the base numbering of the DNA sequence of Example 1.
图2所示为实施列2的DNA序列碱基编号示意图。Figure 2 is a schematic diagram of the base numbering of the DNA sequence of Example 2.
具体实施方式Detailed ways
下面对本发明实施例中的技术方案进行清楚、完整地描述,显然,所描述的实施例仅仅是本发明一部分实施例,而不是全部的实施例。基于本发明中的实施例,本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例,都属于本发明保护的范围。The following clearly and completely describes the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
实施例1编号DNA序列Example 1 Numbering DNA sequence
给定DNA-1,核苷酸序列如下:3’-GGGTTGGGCTGGGTGGGGCT-5’,SEQ ID NO.1;Given DNA-1, the nucleotide sequence is as follows: 3'-GGGTTGGGCTGGGTGGGGCT-5', SEQ ID NO.1;
从3’端开始对碱基进行编号,如图1所示。The bases are numbered starting from the 3' end, as shown in Figure 1.
实施例2Example 2
(1)编号DNA序列(1) Numbered DNA sequence
给定DNA-2,核苷酸序列如下:3’-CATCTTGGGGTTGGGGTTGGGGTT GGGGTCATCT-5’,SEQ ID NO.2;Given DNA-2, the nucleotide sequence is as follows: 3'-CATCTTGGGGTTGGGGTTGGGGTT GGGGTCATCT-5', SEQ ID NO.2;
从3’端开始对碱基进行编号,如图2所示;The bases are numbered from the 3' end, as shown in Figure 2;
其中碱基总数为34个;G碱基数量为16个,G碱基占比47%。可直接将DNA-2作为富含G碱基片段进行后续分析。Among them, the total number of bases is 34; the number of G bases is 16, and G bases account for 47%. DNA-2 can be directly used as a G base-rich fragment for subsequent analysis.
(2)筛选特征性片段(2) Screening of characteristic fragments
从编号起始端开始,标定第一个碱基G为有效碱基Gx,x=7;Starting from the starting end of the numbering, mark the first base G as an effective base Gx, x=7;
从Gx(G7)碱基开始计数,至Gx+n(G28)碱基位数截止,G7至G28之间共22个碱基,碱基差数n为21,满足35≥n≥9,选Bx-y至Bx+n+z(G7-G30)为G-DNA有效特征性片段,y=0,z=2,满足10≥y≥0,10≥z≥0;有效特征性片段共24个碱基,不超过36个,G碱基数量为16个,G碱基占比67%,符合10%~80%。Start counting from G x (G 7 ) bases to G x+n (G 28 ) bases, there are 22 bases between G 7 and G 28 , and the number of base differences n is 21, satisfying 35 ≥n≥9, select B xy to B x+n+z (G 7 -G 30 ) as effective characteristic fragments of G-DNA, y=0, z=2, satisfy 10≥y≥0, 10≥z≥ 0; The effective characteristic fragments have a total of 24 bases, no more than 36, the number of G bases is 16, and G bases account for 67%, which meets 10%-80%.
实施例3Example 3
(1)编号DNA序列(1) Numbered DNA sequence
给定DNA-3,核苷酸序列如下:5’-ATTCAGGGTGGGTGGGTGGGTATT CA-3’,SEQ IDNO.3;Given DNA-3, the nucleotide sequence is as follows: 5'-ATTCAGGGTGGGTGGGTGGGTATT CA-3', SEQ ID NO.3;
从5’端开始对碱基进行编号;Bases are numbered starting from the 5' end;
其中碱基总数为26个;G碱基数量为12个,G碱基占比46%。可直接将DNA-3作为富含G碱基片段进行后续分析。Among them, the total number of bases is 26; the number of G bases is 12, and G bases account for 46%. DNA-3 can be directly used as a G base-rich fragment for subsequent analysis.
(2)筛选特征性片段(2) Screening of characteristic fragments
从编号起始端开始,标定第一个碱基G为有效碱基Gx,x=6;Starting from the starting end of the numbering, mark the first base G as an effective base G x , x=6;
从Gx(G6)碱基开始计数,至Gx+n(G20)碱基位数截止,G6至G20之间共15个碱基,碱基差数n为14,满足35≥n≥9,选Bx-y至Bx+n+z(G6-G21)为G-DNA有效特征性片段,y=0,z=1,满足10≥y≥0,10≥z≥0;有效特征性片段共16个碱基,不超过36个,G碱基数量为12个,G碱基占比75%,符合10%~80%。Start counting from G x (G 6 ) bases to G x+n (G 20 ) bases, there are 15 bases between G 6 and G 20 , and the number of base differences n is 14, satisfying 35 ≥n≥9, select B xy to B x+n+z (G 6 -G 21 ) as effective characteristic fragments of G-DNA, y=0, z=1, satisfy 10≥y≥0, 10≥z≥ 0; The effective characteristic fragment has a total of 16 bases, no more than 36, the number of G bases is 12, and G bases account for 75%, which meets 10% to 80%.
(3)分析G碱基特征(3) Analysis of G base characteristics
分析特征性片段中由连续几个G碱基构成的G结构单元,其中不同碱基数量的G结构单元分别标记为GM,M为G结构单元中G碱基数量:Analyze the G structural unit consisting of several consecutive G bases in the characteristic fragment, where the G structural units with different base numbers are marked as GM, and M is the number of G bases in the G structural unit:
包括G3(GGG);Including G3(GGG);
(4)计数GM结构单元(4) Counting GM structural units
分别计算GM结构单元的数量N:G3为4个;Calculate the number N of GM structural units: G3 is 4;
有效特征性片段中存在结构重复单元(GGG)B,满足有效特征性片段中存在结构重复单元的要求:对于一种G结构单元,非连续重复至少4个;There is a structural repeat unit (GGG) B in the effective characteristic fragment, which meets the requirements for the existence of a structural repeat unit in the effective characteristic fragment: for a G structural unit, at least 4 non-continuous repeats;
(5)G-DNA结构判别(5) G-DNA structure discrimination
标记并分别计算相邻G结构单元之间碱基数量S:依次为1个、1个、1个;Mark and calculate the number S of bases between adjacent G structural units: 1, 1, 1 in sequence;
M为3,符合M≥2;N为4,符合N≥1,S为1,符合8≥S≥1,有效特征性片段中存在结构重复单元,则判别为G-DNA结构。When M is 3, it meets M≥2; when N is 4, it meets N≥1; when S is 1, it meets 8≥S≥1. If there are structural repeating units in the effective characteristic fragment, it can be identified as G-DNA structure.
实施例4Example 4
根据实施例3中的GMNS方法,分别对如下DNA序列进行判定:According to the GMNS method in Example 3, the following DNA sequences are determined respectively:
DNA-4:5’-AATGGGTAGGGCGGGTTGGGATGAA-3’,SEQ ID NO.4;DNA-4: 5'-AATGGGTAGGGCGGGTTGGGATGAA-3', SEQ ID NO.4;
DNA-5:5’-AAGGGTTAGGGTTAGGGTTAGGGTTAC-3’,SEQ ID NO.5;DNA-5: 5'-AAGGGTTAGGGTTAGGGTTAGGGTTAC-3', SEQ ID NO.5;
DNA-6:5’-ATTGGGGTTGGGGTTGGGGTTGGGGTTATTA-3’,SEQ IDNO.6;DNA-6: 5'-ATTGGGGTTGGGGTTGGGGTTGGGGTTATTA-3', SEQ ID NO.6;
DNA-7:5’-ATTGGTTGGTTGTTGTTGTTGGGTTACT-3’,SEQ ID NO.7;DNA-7: 5'-ATTGGTTGGTTGTTGTTGTTGGGTTACT-3', SEQ ID NO.7;
DNA-8:5’-AGGGGTTTTGGGGTTTTGGGGTTTTGGGGA-3’,SEQ IDNO.8;DNA-8: 5'-AGGGGTTTTGGGGTTTTGGGGTTTTGGGGA-3', SEQ ID NO.8;
DNA结构分析信息及判断结果见表1。The DNA structure analysis information and judgment results are shown in Table 1.
表1Table 1
本说明书中各个实施例采用递进的方式描述,每个实施例重点说明的都是与其他实施例的不同之处,各个实施例之间相同相似部分互相参见即可。Each embodiment in this specification is described in a progressive manner, each embodiment focuses on the difference from other embodiments, and the same and similar parts of each embodiment can be referred to each other.
对所公开的实施例的上述说明,使本领域专业技术人员能够实现或使用本发明。对上述实施例的多种修改对本领域的专业技术人员来说将是显而易见的,本文中所定义的一般原理可以在不脱离本发明的精神或范围的情况下,在其它实施例中实现。因此,本发明将不会被限制于本文所示的这些实施例,而是要符合与本文所公开的原理和新颖特点相一致的最宽的范围。The above description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the invention. Various modifications to the above-described embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the present invention will not be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
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Citations (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA2235860A1 (en) * | 1995-10-24 | 1997-05-01 | Curagen Corporation | Method and apparatus for identifying, classifying, or quantifying dna sequences in a sample without sequencing |
| DE19949059A1 (en) * | 1999-10-12 | 2001-04-19 | Achim Frenzel | Functional description of DNA, useful e.g. for identifying new coding sequences, comprises assigning characteristic values to individual bases derived from vibrational properties |
| US20010007985A1 (en) * | 1995-10-24 | 2001-07-12 | Curagen Corporation | Method and apparatus for identifying, classifying, or quantifying DNA sequences in a sample without sequencing |
| WO2003058205A2 (en) * | 2002-01-11 | 2003-07-17 | Cornell Research Foundation, Inc. | Methods of identifying putative effector proteins |
| US20040152116A1 (en) * | 2003-01-08 | 2004-08-05 | Lesley Davenport | G-quadruplex binding assays and compounds therefor |
| CN101587066A (en) * | 2008-05-23 | 2009-11-25 | 中国科学院化学研究所 | New application of cyanine dyes in detection of G-quadruplex structure DNA |
| CN101889210A (en) * | 2008-05-27 | 2010-11-17 | 松下电器产业株式会社 | Method for detecting G-quatrouplex, method for detecting DNA forming G-quatrouplex, and method for measuring telomerase activity |
| CN103235902A (en) * | 2013-04-18 | 2013-08-07 | 山东建筑大学 | Prediction method for ribose nucleic acid (RNA) structure comprising false knots |
| US20140273278A1 (en) * | 2013-03-15 | 2014-09-18 | Lesley Davenport | G-quadruplex binding assays and compounds therefor |
| CN106568732A (en) * | 2015-10-13 | 2017-04-19 | 中国科学院化学研究所 | A method of detecting an RNA G-quadruplex |
| CN108763868A (en) * | 2018-04-08 | 2018-11-06 | 中南大学 | The recognition methods of duplicate block and device in DNA sequence dna |
| US20180365276A1 (en) * | 2017-06-14 | 2018-12-20 | Landigrad, Limited Liability Company | Methods of coding and decoding information |
| CN109599146A (en) * | 2018-11-08 | 2019-04-09 | 武汉科技大学 | A kind of band false knot nucleic acid Structure Prediction Methods based on multi-objective genetic algorithm |
| CN110229872A (en) * | 2019-06-14 | 2019-09-13 | 中国科学院化学研究所 | A kind of detection method of the visualization identification microRNA to be untwisted based on tetra- serobila probe structure of G- |
| KR20190123567A (en) * | 2018-04-24 | 2019-11-01 | 건국대학교 산학협력단 | Sequence-specific DNA detection method using a fluorescent nucelobase analogue-containing split G-quadruplex |
| CN110760574A (en) * | 2019-10-14 | 2020-02-07 | 芯盟科技有限公司 | Apparatus and method for determining bases |
| CN111647052A (en) * | 2020-05-15 | 2020-09-11 | 长治医学院 | Polypeptide probe for recognizing G-quadruplex and application of polypeptide probe in detecting G-quadruplex in cells |
| KR20200106761A (en) * | 2019-03-05 | 2020-09-15 | 손인식 | A method coding standardization of dna and a biotechnological use of the method |
| CN112048547A (en) * | 2019-06-06 | 2020-12-08 | 同济大学 | Spinal muscular atrophy pathogenic gene detection kit and application thereof |
-
2023
- 2023-02-03 CN CN202310054502.1A patent/CN116092575A/en active Pending
Patent Citations (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA2235860A1 (en) * | 1995-10-24 | 1997-05-01 | Curagen Corporation | Method and apparatus for identifying, classifying, or quantifying dna sequences in a sample without sequencing |
| US20010007985A1 (en) * | 1995-10-24 | 2001-07-12 | Curagen Corporation | Method and apparatus for identifying, classifying, or quantifying DNA sequences in a sample without sequencing |
| DE19949059A1 (en) * | 1999-10-12 | 2001-04-19 | Achim Frenzel | Functional description of DNA, useful e.g. for identifying new coding sequences, comprises assigning characteristic values to individual bases derived from vibrational properties |
| WO2003058205A2 (en) * | 2002-01-11 | 2003-07-17 | Cornell Research Foundation, Inc. | Methods of identifying putative effector proteins |
| US20040152116A1 (en) * | 2003-01-08 | 2004-08-05 | Lesley Davenport | G-quadruplex binding assays and compounds therefor |
| CN101587066A (en) * | 2008-05-23 | 2009-11-25 | 中国科学院化学研究所 | New application of cyanine dyes in detection of G-quadruplex structure DNA |
| CN101889210A (en) * | 2008-05-27 | 2010-11-17 | 松下电器产业株式会社 | Method for detecting G-quatrouplex, method for detecting DNA forming G-quatrouplex, and method for measuring telomerase activity |
| US20140273278A1 (en) * | 2013-03-15 | 2014-09-18 | Lesley Davenport | G-quadruplex binding assays and compounds therefor |
| CN103235902A (en) * | 2013-04-18 | 2013-08-07 | 山东建筑大学 | Prediction method for ribose nucleic acid (RNA) structure comprising false knots |
| CN106568732A (en) * | 2015-10-13 | 2017-04-19 | 中国科学院化学研究所 | A method of detecting an RNA G-quadruplex |
| US20180365276A1 (en) * | 2017-06-14 | 2018-12-20 | Landigrad, Limited Liability Company | Methods of coding and decoding information |
| CN108763868A (en) * | 2018-04-08 | 2018-11-06 | 中南大学 | The recognition methods of duplicate block and device in DNA sequence dna |
| KR20190123567A (en) * | 2018-04-24 | 2019-11-01 | 건국대학교 산학협력단 | Sequence-specific DNA detection method using a fluorescent nucelobase analogue-containing split G-quadruplex |
| CN109599146A (en) * | 2018-11-08 | 2019-04-09 | 武汉科技大学 | A kind of band false knot nucleic acid Structure Prediction Methods based on multi-objective genetic algorithm |
| KR20200106761A (en) * | 2019-03-05 | 2020-09-15 | 손인식 | A method coding standardization of dna and a biotechnological use of the method |
| CN112048547A (en) * | 2019-06-06 | 2020-12-08 | 同济大学 | Spinal muscular atrophy pathogenic gene detection kit and application thereof |
| CN110229872A (en) * | 2019-06-14 | 2019-09-13 | 中国科学院化学研究所 | A kind of detection method of the visualization identification microRNA to be untwisted based on tetra- serobila probe structure of G- |
| CN110760574A (en) * | 2019-10-14 | 2020-02-07 | 芯盟科技有限公司 | Apparatus and method for determining bases |
| CN111647052A (en) * | 2020-05-15 | 2020-09-11 | 长治医学院 | Polypeptide probe for recognizing G-quadruplex and application of polypeptide probe in detecting G-quadruplex in cells |
Non-Patent Citations (7)
| Title |
|---|
| EMILIA PUIG LOMBARDI 等: "A guide to computational methods for G-quadruplex prediction", NUCLEIC ACIDS RESEARCH, vol. 48, no. 1, pages 1 - 15 * |
| GIUSEPPE TRADIGO 等: "Assessment of G-quadruplex Prediction Tools", 2014 IEEE 27TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS, pages 243 - 246 * |
| 于园 等: "G-四链体检测方法和生物学研究进展", 生命的化学, pages 1 - 10 * |
| 刘雪萍 等: "ULK1启动子区含有抑制ULK1转录的G4结构", 中国病理生理杂志, vol. 37, no. 7, pages 1270 - 1276 * |
| 张秀苇 等: "RNA二级结构预测的神经网络方法", 清华大学学报(自然科学版), no. 10, pages 1793 - 1796 * |
| 王显金 等: "DNA序列判别分类模型", 安徽农业科学, vol. 39, no. 23, pages 13955 - 13957 * |
| 谷宝华: "产电微生物G-四联体的识别、定位和功能分析", 中国优秀硕士学位论文全文数据库 基础科学辑, vol. 2017, no. 3, pages 006 - 511 * |
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