Pregled bibliografske jedinice broj: 39492
Prediction of protein folding types by means of Symbolic Cantor Algorithm.
Prediction of protein folding types by means of Symbolic Cantor Algorithm. // Book of Abstract Math/Chem/Comp 2000 / Graovac, Ante ; Plavšić, Dean ; Pokrić, Biserka ; Smrečki, Vilko (ur.).
Zagreb: Math/Chem/Comp, 2000. (predavanje, međunarodna recenzija, sažetak, znanstveni)
CROSBI ID: 39492 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Prediction of protein folding types by means of Symbolic Cantor Algorithm.
Autori
Štambuk, Nikola ; Konjevoda, Paško
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
Book of Abstract Math/Chem/Comp 2000
/ Graovac, Ante ; Plavšić, Dean ; Pokrić, Biserka ; Smrečki, Vilko - Zagreb : Math/Chem/Comp, 2000
Skup
Math/Chem/Comp 2000 - the 15th Dubrovnik International Course & Conference on the Interfaces between Mathematics, Chemistry and Computer Sciences.
Mjesto i datum
Dubrovnik, Hrvatska, 19.06.2000. - 24.06.2000
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
protein folding; computation; algorithm; prediction; neural network
Sažetak
We present new algorithm that enables the evaluation of protein folding types from the nucleotide and amino acid sequences. The method has been denoted Symbolic Cantor Algorithm, i.e. SCA (Štambuk N: Croat Chem Acta 71, 573, 1998; Period Biol, 101, 355, 1999). The algorithm was compared to other methods of protein prediction based on hydropathic indexes, amino acid cloister energies, molecular volumes, polarities and molecular resonant recognition method. Our results indicate that SCA shows considerable improvement in the accuracy and specificity of the secondary structure classification. Statistical and neural network testing of the model validity was performed on different proteins from the relevant databases. SCA procedure of computational analysis does not require the use of computers with large processing capacity and it performs almost immediate neural netwotk based pattern recognition of the secondary protein structure.
Izvorni jezik
Engleski
Znanstvena područja
Temeljne medicinske znanosti
POVEZANOST RADA