Comput Math Methods Med - Quad-PRE: a hybrid method to predict protein quaternary structure attributes.

Tópicos

{ sequenc(1873) structur(1644) protein(1328) }
{ method(2212) result(1239) propos(1039) }
{ data(1737) use(1416) pattern(1282) }
{ featur(3375) classif(2383) classifi(1994) }
{ featur(1941) imag(1645) propos(1176) }
{ group(2977) signific(1463) compar(1072) }
{ inform(2794) health(2639) internet(1427) }
{ framework(1458) process(801) describ(734) }
{ error(1145) method(1030) estim(1020) }
{ general(901) number(790) one(736) }
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{ model(2656) set(1616) predict(1553) }
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Resumo

The protein quaternary structure is very important to the biological process. Predicting their attributes is an essential task in computational biology for the advancement of the proteomics. However, the existing methods did not consider sufficient properties of amino acid. To end this, we proposed a hybrid method Quad-PRE to predict protein quaternary structure attributes using the properties of amino acid, predicted secondary structure, predicted relative solvent accessibility, and position-specific scoring matrix profiles and motifs. Empirical evaluation on independent dataset shows that Quad-PRE achieved higher overall accuracy 81.7%, especially higher accuracy 92.8%, 93.3%, and 90.6% on discrimination for trimer, hexamer, and octamer, respectively. Our model also reveals that six features sets are all important to the prediction, and a hybrid method is an optimal strategy by now. The results indicate that the proposed method can classify protein quaternary structure attributes effectively.

Resumo Limpo

protein quaternari structur import biolog process predict attribut essenti task comput biolog advanc proteom howev exist method consid suffici properti amino acid end propos hybrid method quadpr predict protein quaternari structur attribut use properti amino acid predict secondari structur predict relat solvent access positionspecif score matrix profil motif empir evalu independ dataset show quadpr achiev higher overal accuraci especi higher accuraci discrimin trimer hexam octam respect model also reveal six featur set import predict hybrid method optim strategi now result indic propos method can classifi protein quaternari structur attribut effect

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