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

Smolarczyk Tomasz, Stapor Katarzyna, Roterman-Konieczna Irena

Bio-Algorithms and Med-Systems

2019

Vol. 15, no. 4

art. no. 20190034

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.