Jan 15, 2020 · Protein structure prediction can be used to determine the three-dimensional shape of a protein from its amino acid sequence.

Jan 15, 2020 · Protein structure prediction can be used to determine the three-dimensional shape of a protein from its amino acid sequence 1 .

The distance distributions used by. AlphaFold (AF) in CASP13, thresholded to contact predictions, are compared with submissions by the two best-ranked contact ...

This review discusses various deep learning approaches used to predict protein structure and future achievements and challenges

Feb 26, 2021 · We develop a deep learning framework (DeepAccNet) that estimates per-residue accuracy and residue-residue distance signed error in protein models.

Duration: 1:02:40
Posted: Aug 23, 2019

Predicting the tertiary structure of a protein from its primary sequence has been greatly improved by integrating deep learning and co-evolutionary analysis ...

An exciting advance in predicting protein structures by applying deep learning to incorporate information on distances between residues in homologous structures ...

Here we show that we can train a neural network to make accurate predictions of the distances between pairs of residues, which convey more information about the ...

The prediction of interresidue contacts and distances from coevolutionary data using deep learning has considerably advanced protein structure prediction.