FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2012121247> ?p ?o ?g. }

• W2012121247 abstract "β-turn is a secondary protein structure type that plays significant role in protein folding, stability, and molecular recognition. To date, several methods for prediction of β-turns from protein sequences were developed, but they are characterized by relatively poor prediction quality. The novelty of the proposed sequence-based β-turn predictor stems from the usage of a window based information extracted from four predicted three-state secondary structures, which together with a selected set of position specific scoring matrix (PSSM) values serve as an input to the support vector machine (SVM) predictor. We show that (1) all four predicted secondary structures are useful; (2) the most useful information extracted from the predicted secondary structure includes the structure of the predicted residue, secondary structure content in a window around the predicted residue, and features that indicate whether the predicted residue is inside a secondary structure segment; (3) the PSSM values of Asn, Asp, Gly, Ile, Leu, Met, Pro, and Val were among the top ranked features, which corroborates with recent studies. The Asn, Asp, Gly, and Pro indicate potential β-turns, while the remaining four amino acids are useful to predict non-β-turns. Empirical evaluation using three nonredundant datasets shows favorable Qtotal, Qpredicted and MCC values when compared with over a dozen of modern competing methods. Our method is the first to break the 80% Qtotal barrier and achieves Qtotal = 80.9%, MCC = 0.47, and Qpredicted higher by over 6% when compared with the second best method. We use feature selection to reduce the dimensionality of the feature vector used as the input for the proposed prediction method. The applied feature set is smaller by 86, 62 and 37% when compared with the second and two third-best (with respect to MCC) competing methods, respectively. Experiments show that the proposed method constitutes an improvement over the competing prediction methods. The proposed prediction model can better discriminate between β-turns and non-β-turns due to obtaining lower numbers of false positive predictions. The prediction model and datasets are freely available at http://biomine.ece.ualberta.ca/BTNpred/BTNpred.html ." @default.
• W2012121247 created "2016-06-24" @default.
• W2012121247 creator A5051880074 @default.
• W2012121247 creator A5088423732 @default.
• W2012121247 date "2008-10-10" @default.
• W2012121247 modified "2023-10-10" @default.
• W2012121247 title "Prediction of beta-turns at over 80% accuracy based on an ensemble of predicted secondary structures and multiple alignments" @default.
• W2012121247 cites W1586022877 @default.
• W2012121247 cites W1606410455 @default.
• W2012121247 cites W1914266461 @default.
• W2012121247 cites W1963550288 @default.
• W2012121247 cites W1967666634 @default.
• W2012121247 cites W1970966964 @default.
• W2012121247 cites W1996768014 @default.
• W2012121247 cites W1999563618 @default.
• W2012121247 cites W2002046623 @default.
• W2012121247 cites W2008708467 @default.
• W2012121247 cites W2008807736 @default.
• W2012121247 cites W2013136212 @default.
• W2012121247 cites W2017337590 @default.
• W2012121247 cites W2046621720 @default.
• W2012121247 cites W2053621743 @default.
• W2012121247 cites W2053721311 @default.
• W2012121247 cites W2054146722 @default.
• W2012121247 cites W2056852982 @default.
• W2012121247 cites W2073032874 @default.
• W2012121247 cites W2074655761 @default.
• W2012121247 cites W2075820422 @default.
• W2012121247 cites W2081677075 @default.
• W2012121247 cites W2090450209 @default.
• W2012121247 cites W2092616995 @default.
• W2012121247 cites W2094695671 @default.
• W2012121247 cites W2096525273 @default.
• W2012121247 cites W2099781186 @default.
• W2012121247 cites W2104652092 @default.
• W2012121247 cites W2104873783 @default.
• W2012121247 cites W2107432340 @default.
• W2012121247 cites W2113403117 @default.
• W2012121247 cites W2114357250 @default.
• W2012121247 cites W2115167726 @default.
• W2012121247 cites W2126389772 @default.
• W2012121247 cites W2132581719 @default.
• W2012121247 cites W2139582206 @default.
• W2012121247 cites W2139592083 @default.
• W2012121247 cites W2140096007 @default.
• W2012121247 cites W2142529984 @default.
• W2012121247 cites W2148204968 @default.
• W2012121247 cites W2151040995 @default.
• W2012121247 cites W2151687360 @default.
• W2012121247 cites W2153187042 @default.
• W2012121247 cites W2156798505 @default.
• W2012121247 cites W2158714788 @default.
• W2012121247 cites W2161005920 @default.
• W2012121247 cites W2164834306 @default.
• W2012121247 cites W2165533244 @default.
• W2012121247 cites W2168211076 @default.
• W2012121247 cites W2410558788 @default.
• W2012121247 cites W2444188995 @default.
• W2012121247 cites W4301759531 @default.
• W2012121247 doi "https://doi.org/10.1186/1471-2105-9-430" @default.
• W2012121247 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/2613158" @default.
• W2012121247 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/18847492" @default.
• W2012121247 hasPublicationYear "2008" @default.
• W2012121247 type Work @default.
• W2012121247 sameAs 2012121247 @default.
• W2012121247 citedByCount "45" @default.
• W2012121247 countsByYear W20121212472012 @default.
• W2012121247 countsByYear W20121212472013 @default.
• W2012121247 countsByYear W20121212472014 @default.
• W2012121247 countsByYear W20121212472015 @default.
• W2012121247 countsByYear W20121212472016 @default.
• W2012121247 countsByYear W20121212472018 @default.
• W2012121247 countsByYear W20121212472019 @default.
• W2012121247 countsByYear W20121212472020 @default.
• W2012121247 countsByYear W20121212472021 @default.
• W2012121247 crossrefType "journal-article" @default.
• W2012121247 hasAuthorship W2012121247A5051880074 @default.
• W2012121247 hasAuthorship W2012121247A5088423732 @default.
• W2012121247 hasBestOaLocation W20121212471 @default.
• W2012121247 hasConcept C104317684 @default.
• W2012121247 hasConcept C111030470 @default.
• W2012121247 hasConcept C12267149 @default.
• W2012121247 hasConcept C148483581 @default.
• W2012121247 hasConcept C153180895 @default.
• W2012121247 hasConcept C154945302 @default.
• W2012121247 hasConcept C167625842 @default.
• W2012121247 hasConcept C18051474 @default.
• W2012121247 hasConcept C33923547 @default.
• W2012121247 hasConcept C41008148 @default.
• W2012121247 hasConcept C45484198 @default.
• W2012121247 hasConcept C47701112 @default.
• W2012121247 hasConcept C54355233 @default.
• W2012121247 hasConcept C55493867 @default.
• W2012121247 hasConcept C62614982 @default.
• W2012121247 hasConcept C86803240 @default.
• W2012121247 hasConcept C88031987 @default.
• W2012121247 hasConceptScore W2012121247C104317684 @default.
• W2012121247 hasConceptScore W2012121247C111030470 @default.
• W2012121247 hasConceptScore W2012121247C12267149 @default.
• W2012121247 hasConceptScore W2012121247C148483581 @default.

• next