Articles with "distance prediction" as a keyword



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Improving deep learning-based protein distance prediction in CASP14

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Published in 2021 at "Bioinformatics"

DOI: 10.1093/bioinformatics/btab355

Abstract: Abstract Motivation Accurate prediction of residue–residue distances is important for protein structure prediction. We developed several protein distance predictors based on a deep learning distance prediction method and blindly tested them in the 14th Critical… read more here.

Keywords: distance; deep learning; casp14; distance prediction ... See more keywords
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Inter-Residue Distance Prediction From Duet Deep Learning Models

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Published in 2022 at "Frontiers in Genetics"

DOI: 10.3389/fgene.2022.887491

Abstract: Residue distance prediction from the sequence is critical for many biological applications such as protein structure reconstruction, protein–protein interaction prediction, and protein design. However, prediction of fine-grained distances between residues with long sequence separations still… read more here.

Keywords: inter residue; distance prediction; prediction; residue distance ... See more keywords