Popularização da Ciência: Desmistificando o Dogma Central da Biologia Molecular

Anjos, Laura Raniere Borges dos; Assunção, Leandro do Prado; Freitas, Bruno Lima; Campos, Nawyla Pereira; Silva, Natalia Sousa; Monteiro, João Marcos Araújo; Oliveira, Renata Alves; Rodrigues, Geovana Santana; Veríssimo, Rayane Oliveira Cruz; Dantas, Sabrina Fonseca Ingênito Moreira; Santos, Mônica de Oliveira; Reis, Ângela Adamski da Silva; Santos, Rodrigo da Silva

doi:10.16923/reb.v16i2.761

Cited by 2 publications

(3 citation statements)

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“…In RNA, U (uracil) is complementary to A (adenine) and G (guanine) is complementary to C (cytosine). RNA is usually transcribed from DNA and acts as a bridge between DNA and proteins [1]. e versatility of an RNA molecule depends on its secondary structure.…”

Section: Introductionmentioning

confidence: 99%

Graph-Based Analysis of RNA Secondary Structure Similarity Comparison

Yang

Liu

et al. 2021

Complexity

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In organisms, ribonucleic acid (RNA) plays an essential role. Its function is being discovered more and more. Due to the conserved nature of RNA sequences, its function mainly depends on the RNA secondary structure. The discovery of an approximate relationship between two RNA secondary structures helps to understand their functional relationship better. It is an important and urgent task to explore structural similarities from the graphical representation of RNA secondary structures. In this paper, a novel graphical analysis method based on the triple vector curve representation of RNA secondary structures is proposed. A combinational method involving a discrete wavelet transform (DWT) and fractal dimension with sliding window is introduced to analyze and compare the graphs derived from feature extraction; after that, the distance matrix is generated. Then, the distance matrix is analyzed by clustering and visualized as a clustering tree. RNA virus and noncoding RNA datasets are applied to perform experiments and analyze the clustering tree. The results show that the proposed method yields more accurate results in the comparison of RNA secondary structures.

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Section: Introductionmentioning

confidence: 99%

Graph-Based Analysis of RNA Secondary Structure Similarity Comparison

Yang

Liu

et al. 2021

Complexity

View full text Add to dashboard Cite

show abstract

“…In RNA, U (uracil) is complementary to A (adenine), and G (guanine) is complementary to C (cytosine). RNA is usually transcribed from DNA and acts as a bridge between DNA and proteins [1]. The versatility of an RNA molecule depends on its secondary structure.…”

Section: Introductionmentioning

confidence: 99%

“…1813302002@st.gxu.edu.cn 1 Computer and Electronic Information, Guangxi University, 530004 Nanning, China Full list of author information is available at the end of the article Equal contributor…”

mentioning

confidence: 99%

Detrended Fluctuation Analysis and Discrete Wavelet Transform for Similarity Comparison of RNA secondary structure

Yang

Liu

Wang

et al. 2020

Preprint

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Background Ribonucleic acid (RNA) is an important biological macromolecule. Through in-depth studies of RNA, its function has been increasingly discovered. The function of RNA is mostly dependent on its secondary structure because of its conserved nature. The discovery of an approximate relationship between two RNA secondary structures can help to understand their functional relationship better. This discovery can also help in exploring many unknown functions. Currently, RNA secondary structural similarity analysis methods are mainly divided into alignment-based methods and alignment-free methods. Alignment-free methods can obtain similarities and differences among RNA secondary structures more quickly and more accurately than alignment-based methods. Results In this paper, a novel alignment-free method based on the triple vector curve representation of RNA is proposed. A combinational method involving a discrete wavelet transform and detrended fluctuation analysis (DFA) with a sliding window is used to generate the distance matrix. Finally, a phylogenetic tree is constructed using the distance matrix. Experiments are performed on RNA viruses and non-coding RNA datasets, and the phylogenetic trees generated by different methods are compared. The results show that our method yields more accurate results in the comparison of RNA secondary structures. Conclusion The method in this paper enables a more accurate analysis of the similarities between RNA secondary structures. This method has certain application value in the comparison of RNA secondary structures, especially in the analysis of longer RNA sequences.

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Popularização da Ciência: Desmistificando o Dogma Central da Biologia Molecular

Cited by 2 publications

References 1 publication

Graph-Based Analysis of RNA Secondary Structure Similarity Comparison

Graph-Based Analysis of RNA Secondary Structure Similarity Comparison

Detrended Fluctuation Analysis and Discrete Wavelet Transform for Similarity Comparison of RNA secondary structure

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