Backbone dihedral angles prediction servers for protein early-stage structure prediction

• Autorzy: Smolarczyk Tomasz , Stapor Katarzyna , Roterman-Konieczna Irena

Identyfikatory

DOI

10.1515/bams-2019-0034

• Języki publikacji: EN

Abstrakty

EN

Three-dimensional protein structure prediction is an important task in science at the intersection of biology, chemistry, and informatics, and it is crucial for determining the protein function. In the two-stage protein folding model, based on an early- and late-stage intermediates, we propose to use state-of-the-art secondary structure prediction servers for backbone dihedral angles prediction and devise an early-stage structure. Early-stage structures are used as a starting point for protein folding simulations, and any errors in this stage affect the final predictions. We have shown that modern secondary structure prediction servers could increase the accuracy of early-stage predictions compared to previously reported models.

Słowa kluczowe

EN

early stage; MUFOLD-SS; protein folding; secondary structure; SPIDER3

• Wydawca: Uniwersytet Jagielloński - Collegium Medicum ; De Gruyter
• Czasopismo: Bio-Algorithms and Med-Systems
• Rocznik: 2019
• Tom: Vol. 15, no. 4
• Strony: art. no. 20190034
• Opis fizyczny: Bibliogr. 35 poz., rys., tab.

Twórcy

autor

Smolarczyk Tomasz

• Institute of Informatics, Silesian University of Technology, Akademicka 16, Gliwice, Poland

autor

Stapor Katarzyna

• Institute of Informatics, Silesian University of Technology, Akademicka 16, Gliwice, Poland

autor

Roterman-Konieczna Irena

• Department of Bioinformatics and Telemedicine, Jagiellonian University Medical College, Kraków, Poland

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).