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Pregled bibliografske jedinice broj: 1258348

Stability and reliability of protein folding rate prediction models


Kraljević, Antonija; Lučić, Bono; Batista, Jadranko
Stability and reliability of protein folding rate prediction models // 3rd International Physics Conference in Bosnia and Herzegovina - PHYCONBA 2022 / Milošević, Dejan ; Habibović, Dino (ur.).
Sarajevo: Physical Society in Federation of Bosnia and Herzegovina, 2022. str. 40-40 (poster, međunarodna recenzija, sažetak, znanstveni)


CROSBI ID: 1258348 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Stability and reliability of protein folding rate prediction models

Autori
Kraljević, Antonija ; Lučić, Bono ; Batista, Jadranko

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
3rd International Physics Conference in Bosnia and Herzegovina - PHYCONBA 2022 / Milošević, Dejan ; Habibović, Dino - Sarajevo : Physical Society in Federation of Bosnia and Herzegovina, 2022, 40-40

Skup
International Physics Conference in Bosnia and Herzegovina (PHYCONBA 2022)

Mjesto i datum
Sarajevo, Bosna i Hercegovina, 30.06.2022. - 01.07.2022

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
protein folding rates, model prediction, experimental folding rates, servers, reliability, accuracy of prediction

Sažetak
Understanding the protein folding process is considered one of the most critical issues in structural biophysics of proteins. The problem of modelling the protein folding rate is essential for finding the underlying factors that are predominantly responsible for the protein folding process and has been intensively researched for the past 25 years [1]. The main structural descriptors that determine the rate of protein folding were the length of the protein sequence, secondary structure content of the protein, and the mean contact order distance between amino acids. In the reproduction of results from the literature and in the process of defining own descriptors that are important for protein folding rate, we noticed inconsistency and scattering of experimental data in literature databases and those available online. This paper compared the uniformity of experimental data such as protein lengths, amino acid sequence, and protein folding rate constants in databases and the most important models from the literature and those available as network web servers [2], and analyse their influence on the accuracy of models for prediction of protein folding rates.

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)

Profili:

Avatar Url Bono Lučić (autor)

Citiraj ovu publikaciju:

Kraljević, Antonija; Lučić, Bono; Batista, Jadranko
Stability and reliability of protein folding rate prediction models // 3rd International Physics Conference in Bosnia and Herzegovina - PHYCONBA 2022 / Milošević, Dejan ; Habibović, Dino (ur.).
Sarajevo: Physical Society in Federation of Bosnia and Herzegovina, 2022. str. 40-40 (poster, međunarodna recenzija, sažetak, znanstveni)
Kraljević, A., Lučić, B. & Batista, J. (2022) Stability and reliability of protein folding rate prediction models. U: Milošević, D. & Habibović, D. (ur.)3rd International Physics Conference in Bosnia and Herzegovina - PHYCONBA 2022.
@article{article, author = {Kraljevi\'{c}, Antonija and Lu\v{c}i\'{c}, Bono and Batista, Jadranko}, year = {2022}, pages = {40-40}, keywords = {protein folding rates, model prediction, experimental folding rates, servers, reliability, accuracy of prediction}, title = {Stability and reliability of protein folding rate prediction models}, keyword = {protein folding rates, model prediction, experimental folding rates, servers, reliability, accuracy of prediction}, publisher = {Physical Society in Federation of Bosnia and Herzegovina}, publisherplace = {Sarajevo, Bosna i Hercegovina} }
@article{article, author = {Kraljevi\'{c}, Antonija and Lu\v{c}i\'{c}, Bono and Batista, Jadranko}, year = {2022}, pages = {40-40}, keywords = {protein folding rates, model prediction, experimental folding rates, servers, reliability, accuracy of prediction}, title = {Stability and reliability of protein folding rate prediction models}, keyword = {protein folding rates, model prediction, experimental folding rates, servers, reliability, accuracy of prediction}, publisher = {Physical Society in Federation of Bosnia and Herzegovina}, publisherplace = {Sarajevo, Bosna i Hercegovina} }




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