Matches in SemOpenAlex for { <https://semopenalex.org/work/W36551500> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W36551500 abstract "Because the experimental techniques that have been used to determine protein structure such as the x-ray crystallography and Nuclear Magnetic Resonance NMR spectroscopy are very expensive and cannot be applied all the time, so the prediction may be the way to get the protein structure. Most of previous works in the field of protein structure prediction given a certain protein sequence works on a database of proteins from different species. In this proposed work we will use a given protein sequence such as hemoglobin, insulin, and albumin to recognize first the species that this sequence belongs to. Knowing the species to which the sequence belongs will give better results in predicting the structure of that sequence, either the 3D or the secondary structures. Knowing the species can even help in the correct recognition of the protein type given the protein sequence. In this paper we used the neural network, Hidden Markov model, and Euclidean distance techniques in the classification and prediction processes." @default.
- W36551500 created "2016-06-24" @default.
- W36551500 creator A5021596303 @default.
- W36551500 creator A5042018348 @default.
- W36551500 creator A5072523212 @default.
- W36551500 date "2008-01-01" @default.
- W36551500 modified "2023-09-26" @default.
- W36551500 title "Different Species and Proteins Classifiers and Protein's Structure Predictors Systems" @default.
- W36551500 cites W130931446 @default.
- W36551500 cites W1597121099 @default.
- W36551500 cites W1975975525 @default.
- W36551500 cites W2087284982 @default.
- W36551500 cites W2114604135 @default.
- W36551500 cites W2119658466 @default.
- W36551500 cites W2127197763 @default.
- W36551500 cites W2132681068 @default.
- W36551500 cites W2146764278 @default.
- W36551500 cites W2148319892 @default.
- W36551500 cites W2152208870 @default.
- W36551500 cites W2157525805 @default.
- W36551500 cites W2158291504 @default.
- W36551500 cites W2329264843 @default.
- W36551500 cites W66463037 @default.
- W36551500 hasPublicationYear "2008" @default.
- W36551500 type Work @default.
- W36551500 sameAs 36551500 @default.
- W36551500 citedByCount "0" @default.
- W36551500 crossrefType "journal-article" @default.
- W36551500 hasAuthorship W36551500A5021596303 @default.
- W36551500 hasAuthorship W36551500A5042018348 @default.
- W36551500 hasAuthorship W36551500A5072523212 @default.
- W36551500 hasConcept C10010492 @default.
- W36551500 hasConcept C104317684 @default.
- W36551500 hasConcept C119857082 @default.
- W36551500 hasConcept C153180895 @default.
- W36551500 hasConcept C154945302 @default.
- W36551500 hasConcept C167625842 @default.
- W36551500 hasConcept C18051474 @default.
- W36551500 hasConcept C207060522 @default.
- W36551500 hasConcept C23224414 @default.
- W36551500 hasConcept C2778112365 @default.
- W36551500 hasConcept C2986374874 @default.
- W36551500 hasConcept C41008148 @default.
- W36551500 hasConcept C47701112 @default.
- W36551500 hasConcept C50644808 @default.
- W36551500 hasConcept C55493867 @default.
- W36551500 hasConcept C70721500 @default.
- W36551500 hasConcept C86803240 @default.
- W36551500 hasConceptScore W36551500C10010492 @default.
- W36551500 hasConceptScore W36551500C104317684 @default.
- W36551500 hasConceptScore W36551500C119857082 @default.
- W36551500 hasConceptScore W36551500C153180895 @default.
- W36551500 hasConceptScore W36551500C154945302 @default.
- W36551500 hasConceptScore W36551500C167625842 @default.
- W36551500 hasConceptScore W36551500C18051474 @default.
- W36551500 hasConceptScore W36551500C207060522 @default.
- W36551500 hasConceptScore W36551500C23224414 @default.
- W36551500 hasConceptScore W36551500C2778112365 @default.
- W36551500 hasConceptScore W36551500C2986374874 @default.
- W36551500 hasConceptScore W36551500C41008148 @default.
- W36551500 hasConceptScore W36551500C47701112 @default.
- W36551500 hasConceptScore W36551500C50644808 @default.
- W36551500 hasConceptScore W36551500C55493867 @default.
- W36551500 hasConceptScore W36551500C70721500 @default.
- W36551500 hasConceptScore W36551500C86803240 @default.
- W36551500 hasLocation W365515001 @default.
- W36551500 hasOpenAccess W36551500 @default.
- W36551500 hasPrimaryLocation W365515001 @default.
- W36551500 hasRelatedWork W1789072987 @default.
- W36551500 hasRelatedWork W1885320193 @default.
- W36551500 hasRelatedWork W1973804766 @default.
- W36551500 hasRelatedWork W1974126272 @default.
- W36551500 hasRelatedWork W1997215908 @default.
- W36551500 hasRelatedWork W2013950502 @default.
- W36551500 hasRelatedWork W2024892490 @default.
- W36551500 hasRelatedWork W2043654566 @default.
- W36551500 hasRelatedWork W2047083294 @default.
- W36551500 hasRelatedWork W2061068513 @default.
- W36551500 hasRelatedWork W2117910541 @default.
- W36551500 hasRelatedWork W2120431175 @default.
- W36551500 hasRelatedWork W2137995988 @default.
- W36551500 hasRelatedWork W2152489891 @default.
- W36551500 hasRelatedWork W2237091043 @default.
- W36551500 hasRelatedWork W2400227101 @default.
- W36551500 hasRelatedWork W2905223489 @default.
- W36551500 hasRelatedWork W3035355478 @default.
- W36551500 hasRelatedWork W3045127574 @default.
- W36551500 hasRelatedWork W831751086 @default.
- W36551500 isParatext "false" @default.
- W36551500 isRetracted "false" @default.
- W36551500 magId "36551500" @default.
- W36551500 workType "article" @default.