Probabilistic Reconstruction of Ancestral Protein Sequences
dc.contributor.author | Koshi, Jeffrey M. | en_US |
dc.contributor.author | Goldstein, Richard A. | en_US |
dc.date.accessioned | 2006-09-08T20:15:43Z | |
dc.date.available | 2006-09-08T20:15:43Z | |
dc.date.issued | 1996-02 | en_US |
dc.identifier.citation | Koshi, Jeffrey M.; Goldstein, Richard A.; (1996). "Probabilistic Reconstruction of Ancestral Protein Sequences." Journal of Molecular Evolution 42(2): 313-320. <http://hdl.handle.net/2027.42/42365> | en_US |
dc.identifier.issn | 0022-2844 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/42365 | |
dc.identifier.uri | http://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=8919883&dopt=citation | en_US |
dc.description.abstract | Using a maximum-likelihood formalism, we have developed a method with which to reconstruct the sequences of ancestral proteins. Our approach allows the calculation of not only the most probable ancestral sequence but also of the probability of any amino acid at any given node in the evolutionary tree. Because we consider evolution on the amino acid level, we are better able to include effects of evolutionary pressure and take advantage of structural information about the protein through the use of mutation matrices that depend on secondary structure and surface accessibility. The computational complexity of this method scales linearly with the number of homologous proteins used to reconstruct the ancestral sequence. | en_US |
dc.format.extent | 352470 bytes | |
dc.format.extent | 3115 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Springer-Verlag; Springer-Verlag New York Inc. | en_US |
dc.subject.other | Legacy | en_US |
dc.subject.other | Key Words: Bayesian Statistics — Evolutionary Reconstruction — Homologous Sequences — Protein Evolution — Maximum Likelihood | en_US |
dc.title | Probabilistic Reconstruction of Ancestral Protein Sequences | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Natural Resources and Environment | en_US |
dc.subject.hlbsecondlevel | Ecology and Evolutionary Biology | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Biophysics Research Division, University of Michigan, Ann Arbor, MI 48109-1055, USA, US, | en_US |
dc.contributor.affiliationum | Biophysics Research Division, University of Michigan, Ann Arbor, MI 48109-1055, USA, US, | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.identifier.pmid | 8919883 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/42365/1/239-42-2-313_42n2p313.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1007/BF02198858 | en_US |
dc.identifier.source | Journal of Molecular Evolution | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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