{"title":"以丙型肝炎病毒IRES序列为模型,评估RNA二级结构测定的计算机工具","authors":"L. F. Restrepo, J. C. Arroyave, F. Cortés-Mancera","doi":"10.1109/PAHCE.2013.6568287","DOIUrl":null,"url":null,"abstract":"The Ribonucleic acid (RNA) is a key molecule in different cellular processes, including catalysis. These functions depend not only on nucleotide sequences but also of RNA secondary structure (2D) [1]; this is the case of the extensively characterized IRES structure (Internal Ribosome Entry Site) in Hepatitis C Virus (HCV) RNA [2]. Although experimental techniques are available for studying molecular conformation and folding, their high cost limits a more extended use, therefore bioinformatics programs are currently used for RNA 2D prediction. How dissimilar methods are used in most available in silico tools [3-7] we evaluated the accuracy of five programs for RNA secondary structure prediction, using a HCV IRES domain II as a model [8]. Among assessed tools, MATLAB v7.10.0TM did not generate the expected shape for HCV domain II, resulting in the lowest Sensitivity (S) and Predictive Positive (PPV) values, while RNAShape 2.1.6, RNAstructure v 5.4 and Assemble 1.0.4 predicted the same topology, failing in pairings C19/G62 and G24/A56. Finally, Assemble 2.0 predicted the most acceptable topology of domain II, with the highest S and PPV values. Conclusion: None of the five programs could totally predict the topology of the structural model used.","PeriodicalId":151015,"journal":{"name":"2013 Pan American Health Care Exchanges (PAHCE)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Evaluation of in silico tools for RNA secondary structures determination, using the Hepatitis C Virus IRES sequence as a model\",\"authors\":\"L. F. Restrepo, J. C. Arroyave, F. Cortés-Mancera\",\"doi\":\"10.1109/PAHCE.2013.6568287\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Ribonucleic acid (RNA) is a key molecule in different cellular processes, including catalysis. These functions depend not only on nucleotide sequences but also of RNA secondary structure (2D) [1]; this is the case of the extensively characterized IRES structure (Internal Ribosome Entry Site) in Hepatitis C Virus (HCV) RNA [2]. Although experimental techniques are available for studying molecular conformation and folding, their high cost limits a more extended use, therefore bioinformatics programs are currently used for RNA 2D prediction. How dissimilar methods are used in most available in silico tools [3-7] we evaluated the accuracy of five programs for RNA secondary structure prediction, using a HCV IRES domain II as a model [8]. Among assessed tools, MATLAB v7.10.0TM did not generate the expected shape for HCV domain II, resulting in the lowest Sensitivity (S) and Predictive Positive (PPV) values, while RNAShape 2.1.6, RNAstructure v 5.4 and Assemble 1.0.4 predicted the same topology, failing in pairings C19/G62 and G24/A56. Finally, Assemble 2.0 predicted the most acceptable topology of domain II, with the highest S and PPV values. Conclusion: None of the five programs could totally predict the topology of the structural model used.\",\"PeriodicalId\":151015,\"journal\":{\"name\":\"2013 Pan American Health Care Exchanges (PAHCE)\",\"volume\":\"79 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-07-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Pan American Health Care Exchanges (PAHCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PAHCE.2013.6568287\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Pan American Health Care Exchanges (PAHCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PAHCE.2013.6568287","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluation of in silico tools for RNA secondary structures determination, using the Hepatitis C Virus IRES sequence as a model
The Ribonucleic acid (RNA) is a key molecule in different cellular processes, including catalysis. These functions depend not only on nucleotide sequences but also of RNA secondary structure (2D) [1]; this is the case of the extensively characterized IRES structure (Internal Ribosome Entry Site) in Hepatitis C Virus (HCV) RNA [2]. Although experimental techniques are available for studying molecular conformation and folding, their high cost limits a more extended use, therefore bioinformatics programs are currently used for RNA 2D prediction. How dissimilar methods are used in most available in silico tools [3-7] we evaluated the accuracy of five programs for RNA secondary structure prediction, using a HCV IRES domain II as a model [8]. Among assessed tools, MATLAB v7.10.0TM did not generate the expected shape for HCV domain II, resulting in the lowest Sensitivity (S) and Predictive Positive (PPV) values, while RNAShape 2.1.6, RNAstructure v 5.4 and Assemble 1.0.4 predicted the same topology, failing in pairings C19/G62 and G24/A56. Finally, Assemble 2.0 predicted the most acceptable topology of domain II, with the highest S and PPV values. Conclusion: None of the five programs could totally predict the topology of the structural model used.