Ding-Hua Shi, Hui-Jie Zhou, Bin-Bin Wang, Yan-Hong Gu, Yi-Fei Wang
{"title":"sars相关冠状病毒和其他已知冠状病毒M蛋白的多序列比对","authors":"Ding-Hua Shi, Hui-Jie Zhou, Bin-Bin Wang, Yan-Hong Gu, Yi-Fei Wang","doi":"10.1007/s11741-003-0078-8","DOIUrl":null,"url":null,"abstract":"<p><p>In this paper, we report a multiple sequence alignment result on the basis of 10 amino acid sequences of the M protein, which come from different coronaviruses (4 SARS-associated and 6 others known). The alignment model was based on the profile HMM (Hidden Markov Model), and the model training was implemented through the SAHMM (Self-Adapting Hidden Markov Model) software developed by the authors.</p>","PeriodicalId":16995,"journal":{"name":"Journal of Shanghai University","volume":"7 2","pages":"118-123"},"PeriodicalIF":0.0000,"publicationDate":"2003-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s11741-003-0078-8","citationCount":"2","resultStr":"{\"title\":\"Multiple sequence alignment of the M protein in SARS-associated and other known coronaviruses.\",\"authors\":\"Ding-Hua Shi, Hui-Jie Zhou, Bin-Bin Wang, Yan-Hong Gu, Yi-Fei Wang\",\"doi\":\"10.1007/s11741-003-0078-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>In this paper, we report a multiple sequence alignment result on the basis of 10 amino acid sequences of the M protein, which come from different coronaviruses (4 SARS-associated and 6 others known). The alignment model was based on the profile HMM (Hidden Markov Model), and the model training was implemented through the SAHMM (Self-Adapting Hidden Markov Model) software developed by the authors.</p>\",\"PeriodicalId\":16995,\"journal\":{\"name\":\"Journal of Shanghai University\",\"volume\":\"7 2\",\"pages\":\"118-123\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1007/s11741-003-0078-8\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Shanghai University\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s11741-003-0078-8\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Shanghai University","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s11741-003-0078-8","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multiple sequence alignment of the M protein in SARS-associated and other known coronaviruses.
In this paper, we report a multiple sequence alignment result on the basis of 10 amino acid sequences of the M protein, which come from different coronaviruses (4 SARS-associated and 6 others known). The alignment model was based on the profile HMM (Hidden Markov Model), and the model training was implemented through the SAHMM (Self-Adapting Hidden Markov Model) software developed by the authors.