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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
10
|
| pubmed:dateCreated |
1999-3-8
|
| pubmed:abstractText |
A new hidden Markov model method (SAM-T98) for finding remote homologs of protein sequences is described and evaluated. The method begins with a single target sequence and iteratively builds a hidden Markov model (HMM) from the sequence and homologs found using the HMM for database search. SAM-T98 is also used to construct model libraries automatically from sequences in structural databases.
|
| pubmed:language |
eng
|
| pubmed:journal | |
| pubmed:citationSubset |
IM
|
| pubmed:chemical | |
| pubmed:status |
MEDLINE
|
| pubmed:issn |
1367-4803
|
| pubmed:author | |
| pubmed:issnType |
Print
|
| pubmed:volume |
14
|
| pubmed:owner |
NLM
|
| pubmed:authorsComplete |
Y
|
| pubmed:pagination |
846-56
|
| pubmed:dateRevised |
2007-11-15
|
| pubmed:meshHeading |
pubmed-meshheading:9927713-Algorithms,
pubmed-meshheading:9927713-Computational Biology,
pubmed-meshheading:9927713-Databases, Factual,
pubmed-meshheading:9927713-Evaluation Studies as Topic,
pubmed-meshheading:9927713-Markov Chains,
pubmed-meshheading:9927713-Proteins,
pubmed-meshheading:9927713-Sequence Alignment,
pubmed-meshheading:9927713-Sequence Homology, Amino Acid,
pubmed-meshheading:9927713-Software
|
| pubmed:year |
1998
|
| pubmed:articleTitle |
Hidden Markov models for detecting remote protein homologies.
|
| pubmed:affiliation |
Department of Computer Engineering, Jack Baskin School of Engineering, University of California, Santa Cruz, CA 95064, USA.
|
| pubmed:publicationType |
Journal Article,
Comparative Study,
Research Support, U.S. Gov't, Non-P.H.S.,
Research Support, Non-U.S. Gov't
|