Pregled bibliografske jedinice broj: 39496
New computational algorithm for accurate prediction of protein folding types
New computational algorithm for accurate prediction of protein folding types // Programme and abstracts 3rd European Conference on Computational Chemistry / Ferenczy, G.G ; Keserű, G.M. (ur.).
Budimpešta: EUCO-CC3, 2000. str. 226-226 (poster, međunarodna recenzija, sažetak, znanstveni)
CROSBI ID: 39496 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
New computational algorithm for accurate prediction of protein folding types
Autori
Štambuk, Nikola ; Konjevoda, Paško
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
Programme and abstracts 3rd European Conference on Computational Chemistry
/ Ferenczy, G.G ; Keserű, G.M. - Budimpešta : EUCO-CC3, 2000, 226-226
Skup
3rd European Conference on Computational Chemistry, EUCO-CC3
Mjesto i datum
Budimpešta, Mađarska, 04.09.2000. - 08.09.2000
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
protein folding; secondary structure; algorithm; prediction
Sažetak
We present new algorithm for the prediction of secondary protein structures. The method enables evaluation of protein folding types from the nucleotide and amino acid sequences. Statistical and neural network testing of the model validity was performed on different proteins from the SCOP database, that posses defined folding types. The comparison of the algorithm to the methods of protein prediction based on hydropathic indexes and molecular resonance indicated that the algorithm shows considerable improvement in accuracy and specificity of the secondary structure classification. This procedure of computational analysis is not time consuming and does not require the use of computers with large processing capacity. If the algorithm is used together with self-organising neural network it performes almost immediate recognition of the secondary protein structure, which can be helpful in detecting type of protein folding from the newly sequenced exon regions. Moreover, graphical representation of the algorithmic results enables visual pattern recognition of different structures.
Izvorni jezik
Engleski
Znanstvena područja
Temeljne medicinske znanosti
POVEZANOST RADA