Improving deep learning-based protein distance prediction in CASP14
Sign Up to like & getrecommendations! 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
Inter-Residue Distance Prediction From Duet Deep Learning Models
Sign Up to like & getrecommendations! 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
Wave Run-Up Distance Prediction Combined Data-Driven Method and Physical Experiments
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Marine Science and Engineering"
DOI: 10.3390/jmse13071298
Abstract: Predicting wave run-up on seawalls is essential for assessing coastal flood risk and guiding resilient design. In this study, we combine physical model experiments with a hybrid data driven method to forecast wave run-up distance.… read more here.
Keywords: distance prediction; driven method; run distance; wave run ... See more keywords