Modelo oculto de Markov la piedra angular de la proteómica moderna
- Autores:
-
Castellanos, Isabel Cristina
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2024
- Institución:
- Universidad Pedagógica y Tecnológica de Colombia
- Repositorio:
- RiUPTC: Repositorio Institucional UPTC
- Idioma:
- OAI Identifier:
- oai:repositorio.uptc.edu.co:001/18728
- Acceso en línea:
- https://repositorio.uptc.edu.co/handle/001/18728
https://doi.org/10.19053/01217488.v15.n2.2024.15663
- Palabra clave:
- Modelo oculto de Markov (HMM), bioinformática, dominios, proteínas.
Hidden Markov Model (HMM), bioinformatics, domain, proteins
- Rights
- openAccess
- License
- https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
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Modelo oculto de Markov la piedra angular de la proteómica moderna |
| title |
Modelo oculto de Markov la piedra angular de la proteómica moderna |
| spellingShingle |
Modelo oculto de Markov la piedra angular de la proteómica moderna Modelo oculto de Markov (HMM), bioinformática, dominios, proteínas. Hidden Markov Model (HMM), bioinformatics, domain, proteins |
| title_short |
Modelo oculto de Markov la piedra angular de la proteómica moderna |
| title_full |
Modelo oculto de Markov la piedra angular de la proteómica moderna |
| title_fullStr |
Modelo oculto de Markov la piedra angular de la proteómica moderna |
| title_full_unstemmed |
Modelo oculto de Markov la piedra angular de la proteómica moderna |
| title_sort |
Modelo oculto de Markov la piedra angular de la proteómica moderna |
| dc.creator.fl_str_mv |
Castellanos, Isabel Cristina |
| dc.contributor.author.spa.fl_str_mv |
Castellanos, Isabel Cristina |
| dc.subject.none.fl_str_mv |
Modelo oculto de Markov (HMM), bioinformática, dominios, proteínas. Hidden Markov Model (HMM), bioinformatics, domain, proteins |
| topic |
Modelo oculto de Markov (HMM), bioinformática, dominios, proteínas. Hidden Markov Model (HMM), bioinformatics, domain, proteins |
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B. Aslam, M. Basit, M. A. Nisar, M. Khurshid, and M. H. Rasool, “Proteomics: Technologies and their applications,” Journal of Chromatographic Science, vol. 55, no. 2. 2017. doi: 10.1093/chromsci/bmw167. [2] D. R. Bentley, “The human genome project - An overview,” Medicinal Research Reviews, vol. 20, no. 3. 2000. doi: 10.1002/(sici)1098-1128(200005)20:3<189::aid-med2>3.0.co;2-%23. [3] S. P. Melo et al., “Transcription of meiotic-like-pathway genes in Giardia intestinalis,” Mem Inst Oswaldo Cruz, vol. 103, no. 4, 2008, doi: 10.1590/S0074-02762008000400006. [4] I. C. Castellanos, E. P. Calvo, and M. Wasserman, “A new gene inventory of the ubiquitin and ubiquitin-like conjugation pathways in giardia intestinalis,” Mem Inst Oswaldo Cruz, vol. 115, 2020, doi: 10.1590/0074-02760190242. [5] D. I. Resnicow, J. C. Deacon, H. M. Warrick, J. A. Spudich, and L. A. Leinwand, “Functional diversity among a family of human skeletal muscle myosin motors,” Proc Natl Acad Sci U S A, vol. 107, no. 3, 2010, doi: 10.1073/pnas.0913527107. [6] P. C. Hernández, L. Morales, I. C. Castellanos, M. Wasserman, and J. Chaparro-Olaya, “Myosin B of Plasmodium falciparum (PfMyoB): in silico prediction of its three-dimensional structure and its possible interaction with MTIP,” Parasitol Res, vol. 116, no. 4, 2017, doi: 10.1007/s00436-017-5417-y. [7] S. Yoodee and V. Thongboonkerd, “Bioinformatics and computational analyses of kidney stone modulatory proteins lead to solid experimental evidence and therapeutic potential,” Biomedicine \& Pharmacotherapy, vol. 159, p. 114217, 2023. [8] T. F. Smith and M. S. Waterman, “Identification of common molecular subsequences,” J Mol Biol, vol. 147, no. 1, pp. 195–197, 1981. [9] G. Myers, “What’s Behind Blast,” 2013. doi: 10.1007/978-1-4471-5298-9_1. [10] S. F. Altschul, W. Gish, W. Miller, E. W. Myers, and D. J. Lipman, “Basic local alignment search tool,” J Mol Biol, vol. 215, no. 3, 1990, doi: 10.1016/S0022-2836(05)80360-2. [11] R. Giegerich, “A systematic approach to dynamic programming in bioinformatics,” Bioinformatics, vol. 16, no. 8. 2000. doi: 10.1093/bioinformatics/16.8.665. [12] ncbi, “Entries for the BLOSUM62 matrix at a scale of ln(2)/2.0,” ftp://ftp.ncbi.nlm.nih.gov/blast/matrices, Feb. 22, 2023. [13] M. P. Styczynski, K. L. Jensen, I. Rigoutsos, and G. Stephanopoulos, “BLOSUM62 miscalculations improve search performance,” Nature Biotechnology, vol. 26, no. 3. 2008. doi: 10.1038/nbt0308-274. [14] S. Henikoff and J. G. Henikoff, “Amino acid substitution matrices from protein blocks,” Proc Natl Acad Sci U S A, vol. 89, no. 22, 1992, doi: 10.1073/pnas.89.22.10915. [15] S. F. Altschul et al., “Gapped BLAST and PSI-BLAST: A new generation of protein database search programs,” Nucleic Acids Research, vol. 25, no. 17. 1997. doi: 10.1093/nar/25.17.3389. [16] A. A. Markov, “Rasprostranenie zakona bol’shih chisel na velichiny, zavisyaschie drug ot druga,” Izvestiya Fiziko-matematicheskogo obschestva pri Kazanskom universitete, vol. 2-ya seriy, 1906. [17] L. R. Rabiner, “A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition,” Proceedings of the IEEE, vol. 77, no. 2, 1989, doi: 10.1109/5.18626. [18] A. Krogh, M. Brown, I. S. Mian, K. Sjölander, and D. Haussler, “Hidden Markov Models in computational biology applications to protein modeling,” J Mol Biol, vol. 235, no. 5, 1994, doi: 10.1006/jmbi.1994.1104. [19] M. Gribskov, R. Lothy, and D. Eisenberg, “Profile analysis,” Methods Enzymol, vol. 183, no. C, 1990, doi: 10.1016/0076-6879(90)83011-W. [20] G. D. Forney, “The Viterbi Algorithm,” Proceedings of the IEEE, vol. 61, no. 3, 1973, doi: 10.1109/PROC.1973.9030. [21] R. D. Finn et al., “Pfam: clans, web tools and services.,” Nucleic Acids Res, vol. 34, no. Database issue, 2006, doi: 10.1093/nar/gkj149. [22] S. El-Gebali et al., “The Pfam protein families database in 2019,” Nucleic Acids Res, vol. 47, no. D1, 2019, doi: 10.1093/nar/gky995. [23] J. Mistry et al., “Pfam: The protein families database in 2021,” Nucleic Acids Res, vol. 49, no. D1, 2021, doi: 10.1093/nar/gkaa913. [24] S. R. Eddy, “What is a hidden Markov model?,” Nature Biotechnology, vol. 22, no. 10. 2004. doi: 10.1038/nbt1004-1315. [25] S. C. Potter, A. Luciani, S. R. Eddy, Y. Park, R. Lopez, and R. D. Finn, “HMMER web server: 2018 update,” Nucleic Acids Res, vol. 46, no. W1, 2018, doi: 10.1093/nar/gky448. [26] K. Karplus, C. Barrett, and R. Hughey, “Hidden Markov models for detecting remote protein homologies,” Bioinformatics, vol. 14, no. 10, 1998, doi: 10.1093/bioinformatics/14.10.846. |
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Castellanos, Isabel Cristina2024-12-11 00:00:002026-04-16T17:12:26Z2024-12-11 00:00:002024-12-110121-7488https://repositorio.uptc.edu.co/handle/001/1872810.19053/01217488.v15.n2.2024.156632462-7658https://doi.org/10.19053/01217488.v15.n2.2024.15663application/pdfUniversidad Pedagógica y Tecnológica de Colombiahttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.esinfo:eu-repo/semantics/openAccessEsta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0.http://purl.org/coar/access_right/c_abf2https://revistas.uptc.edu.co/index.php/ciencia_en_desarrollo/article/view/15663Modelo oculto de Markov (HMM), bioinformática, dominios, proteínas.Hidden Markov Model (HMM), bioinformatics, domain, proteinsModelo oculto de Markov la piedra angular de la proteómica modernaArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/articleJournal articleinfo:eu-repo/semantics/publishedVersionTexthttp://purl.org/coar/version/c_970fb48d4fbd8a85B. Aslam, M. Basit, M. A. Nisar, M. Khurshid, and M. H. Rasool, “Proteomics: Technologies and their applications,” Journal of Chromatographic Science, vol. 55, no. 2. 2017. doi: 10.1093/chromsci/bmw167. [2] D. R. Bentley, “The human genome project - An overview,” Medicinal Research Reviews, vol. 20, no. 3. 2000. doi: 10.1002/(sici)1098-1128(200005)20:3<189::aid-med2>3.0.co;2-%23. [3] S. P. Melo et al., “Transcription of meiotic-like-pathway genes in Giardia intestinalis,” Mem Inst Oswaldo Cruz, vol. 103, no. 4, 2008, doi: 10.1590/S0074-02762008000400006. [4] I. C. Castellanos, E. P. Calvo, and M. Wasserman, “A new gene inventory of the ubiquitin and ubiquitin-like conjugation pathways in giardia intestinalis,” Mem Inst Oswaldo Cruz, vol. 115, 2020, doi: 10.1590/0074-02760190242. [5] D. I. Resnicow, J. C. Deacon, H. M. Warrick, J. A. Spudich, and L. A. Leinwand, “Functional diversity among a family of human skeletal muscle myosin motors,” Proc Natl Acad Sci U S A, vol. 107, no. 3, 2010, doi: 10.1073/pnas.0913527107. [6] P. C. Hernández, L. Morales, I. C. Castellanos, M. Wasserman, and J. Chaparro-Olaya, “Myosin B of Plasmodium falciparum (PfMyoB): in silico prediction of its three-dimensional structure and its possible interaction with MTIP,” Parasitol Res, vol. 116, no. 4, 2017, doi: 10.1007/s00436-017-5417-y. [7] S. Yoodee and V. Thongboonkerd, “Bioinformatics and computational analyses of kidney stone modulatory proteins lead to solid experimental evidence and therapeutic potential,” Biomedicine \& Pharmacotherapy, vol. 159, p. 114217, 2023. [8] T. F. Smith and M. S. Waterman, “Identification of common molecular subsequences,” J Mol Biol, vol. 147, no. 1, pp. 195–197, 1981. [9] G. Myers, “What’s Behind Blast,” 2013. doi: 10.1007/978-1-4471-5298-9_1. [10] S. F. Altschul, W. Gish, W. Miller, E. W. Myers, and D. J. Lipman, “Basic local alignment search tool,” J Mol Biol, vol. 215, no. 3, 1990, doi: 10.1016/S0022-2836(05)80360-2. [11] R. Giegerich, “A systematic approach to dynamic programming in bioinformatics,” Bioinformatics, vol. 16, no. 8. 2000. doi: 10.1093/bioinformatics/16.8.665. [12] ncbi, “Entries for the BLOSUM62 matrix at a scale of ln(2)/2.0,” ftp://ftp.ncbi.nlm.nih.gov/blast/matrices, Feb. 22, 2023. [13] M. P. Styczynski, K. L. Jensen, I. Rigoutsos, and G. Stephanopoulos, “BLOSUM62 miscalculations improve search performance,” Nature Biotechnology, vol. 26, no. 3. 2008. doi: 10.1038/nbt0308-274. [14] S. Henikoff and J. G. Henikoff, “Amino acid substitution matrices from protein blocks,” Proc Natl Acad Sci U S A, vol. 89, no. 22, 1992, doi: 10.1073/pnas.89.22.10915. [15] S. F. Altschul et al., “Gapped BLAST and PSI-BLAST: A new generation of protein database search programs,” Nucleic Acids Research, vol. 25, no. 17. 1997. doi: 10.1093/nar/25.17.3389. [16] A. A. Markov, “Rasprostranenie zakona bol’shih chisel na velichiny, zavisyaschie drug ot druga,” Izvestiya Fiziko-matematicheskogo obschestva pri Kazanskom universitete, vol. 2-ya seriy, 1906. [17] L. R. Rabiner, “A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition,” Proceedings of the IEEE, vol. 77, no. 2, 1989, doi: 10.1109/5.18626. [18] A. Krogh, M. Brown, I. S. Mian, K. Sjölander, and D. Haussler, “Hidden Markov Models in computational biology applications to protein modeling,” J Mol Biol, vol. 235, no. 5, 1994, doi: 10.1006/jmbi.1994.1104. [19] M. Gribskov, R. Lothy, and D. Eisenberg, “Profile analysis,” Methods Enzymol, vol. 183, no. C, 1990, doi: 10.1016/0076-6879(90)83011-W. [20] G. D. Forney, “The Viterbi Algorithm,” Proceedings of the IEEE, vol. 61, no. 3, 1973, doi: 10.1109/PROC.1973.9030. [21] R. D. Finn et al., “Pfam: clans, web tools and services.,” Nucleic Acids Res, vol. 34, no. Database issue, 2006, doi: 10.1093/nar/gkj149. [22] S. El-Gebali et al., “The Pfam protein families database in 2019,” Nucleic Acids Res, vol. 47, no. D1, 2019, doi: 10.1093/nar/gky995. [23] J. Mistry et al., “Pfam: The protein families database in 2021,” Nucleic Acids Res, vol. 49, no. D1, 2021, doi: 10.1093/nar/gkaa913. [24] S. R. Eddy, “What is a hidden Markov model?,” Nature Biotechnology, vol. 22, no. 10. 2004. doi: 10.1038/nbt1004-1315. [25] S. C. Potter, A. Luciani, S. R. Eddy, Y. Park, R. Lopez, and R. D. Finn, “HMMER web server: 2018 update,” Nucleic Acids Res, vol. 46, no. W1, 2018, doi: 10.1093/nar/gky448. [26] K. Karplus, C. Barrett, and R. Hughey, “Hidden Markov models for detecting remote protein homologies,” Bioinformatics, vol. 14, no. 10, 1998, doi: 10.1093/bioinformatics/14.10.846.217221215Ciencia en Desarrollohttps://revistas.uptc.edu.co/index.php/ciencia_en_desarrollo/article/download/15663/14990Núm. 2 , Año 2024 : Vol. 15 Núm. 2 (2024): Vol 15, Núm.2 (2024): Julio-DiciembrePublicationOREORE.xmltext/xml2569https://repositorio.uptc.edu.co/bitstreams/f768514b-6441-48fd-ab1c-7669be60b203/downloadfacf87f616d3c82c69db6ba9ff085221MD51falseAnonymousREAD001/18728oai:repositorio.uptc.edu.co:001/187282026-10-30 07:02:45.339https://creativecommons.org/licenses/by-nc-nd/4.0/deed.esmetadata.onlyhttps://repositorio.uptc.edu.coRepositorio Institucional UPTCbdigital@metabiblioteca.com |
