Stability and reliability of protein folding rate prediction models (CROSBI ID 733192)
Prilog sa skupa u zborniku | sažetak izlaganja sa skupa | međunarodna recenzija
Podaci o odgovornosti
Kraljević, Antonija ; Lučić, Bono ; Batista, Jadranko
engleski
Stability and reliability of protein folding rate prediction models
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.
protein folding rates, model prediction, experimental folding rates, servers, reliability, accuracy of prediction
Basic grant of MZO/RBI to Bono Lučić
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Podaci o prilogu
40-40.
2022.
objavljeno
Podaci o matičnoj publikaciji
3rd International Physics Conference in Bosnia and Herzegovina - PHYCONBA 2022
Milošević, Dejan ; Habibović, Dino
Sarajevo: Physical Society in Federation of Bosnia and Herzegovina
Podaci o skupu
International Physics Conference in Bosnia and Herzegovina (PHYCONBA 2022)
poster
30.06.2022-01.07.2022
Sarajevo, Bosna i Hercegovina