Pregled bibliografske jedinice broj: 1216649
Modelling protein folding rates by novel descriptors based on the amount of regular secondary structure and hydrophobic amino acids
Modelling protein folding rates by novel descriptors based on the amount of regular secondary structure and hydrophobic amino acids // Math/Chem/Comp 2021 – 32rd MC2 Conference : Book of abstracts / Vančik, Hrvoje ; Cioslowski, Jerzy (ur.).
Zagreb: Hrvatsko kemijsko društvo, 2021. str. 40-40 (poster, recenziran, sažetak, znanstveni)
CROSBI ID: 1216649 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Modelling protein folding rates by novel
descriptors based on the amount of regular
secondary structure and hydrophobic amino acids
Autori
Batista, Jadranko ; Kraljević, Antonija ; Lučić, Bono
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
Math/Chem/Comp 2021 – 32rd MC2 Conference : Book of abstracts
/ Vančik, Hrvoje ; Cioslowski, Jerzy - Zagreb : Hrvatsko kemijsko društvo, 2021, 40-40
Skup
32nd International Course and Conference on the Interfaces among Mathematics, Chemistry and Computer Sciences: Mathematics, Chemistry, Computing (Math/Chem/Comp, MC2-32)
Mjesto i datum
Dubrovnik, Hrvatska, 07.06.2021. - 12.06.2021
Vrsta sudjelovanja
Poster
Vrsta recenzije
Recenziran
Ključne riječi
protein folding rate ; prediction ; model ; amino acid content ; sequence-based attributes
Sažetak
Protein folding is a very important problem in the biosciences that is studied experimentally but also by modelling (theoretical and simulation analyses) [1]. Undoubtedly, all information related to folding is contained in the primary structure of proteins - in the sequence of amino acids. For the past 20 years, attempts have been made to model the dependences of the protein folding constants kf (s-1), which are equal to 1 / (time needed for protein folding). It was observed in the very beginning that this is a size-dependent problem, which means that ln(kf) significantly depends on the length of the protein sequence, i.e. on the number of amino acid residues in the protein chain. Then, the dependence on the number of amino acids that take on the correct secondary structure of alpha or beta, on the topology of the 3D structure, was also observed [2]. As better predictors of protein folding constants, new structural parameters based on the total number of amino acids in regular secondary structures in the protein chain were obtained [3]. Furthermore, the parameters that calculate the permutation entropy of the secondary structure of the protein also show good agreement with the protein folding constants.
Izvorni jezik
Engleski
Znanstvena područja
Fizika, Kemija
Napomena
Basic grant of MZO/RBI to Bono Lučić
POVEZANOST RADA
Projekti:
EK-KF-KK.01.1.1.01.0002 - Bioprospecting Jadranskog mora (Jerković, Igor; Dragović-Uzelac, Verica; Šantek, Božidar; Čož-Rakovac, Rozelinda; Kraljević Pavelić, Sandra; Jokić, Stela, EK ) ( CroRIS)
Ustanove:
Institut "Ruđer Bošković", Zagreb
Profili:
Bono Lučić
(autor)