Keyword

protein structure prediction

3 papers tagged “protein structure prediction”

BiologyNature · Jul 2021 Open access

Highly accurate protein structure prediction for the human proteome

Kathryn Tunyasuvunakool, John Jumper and Demis Hassabis

This companion paper applied AlphaFold to predict structures for nearly the entire human proteome and 20 other key organisms, producing a large public database of predicted models. It assessed coverage and confidence across the human proteome, showing that a substantial fraction of residues could be modeled with high or very high confidence. The work created the AlphaFold Protein Structure Database, greatly expanding structural coverage beyond experimentally determined structures.

human proteome alphafold protein structure prediction structural genomics

AINature · Jul 2021 Open access

Highly accurate protein structure prediction with AlphaFold

John Jumper, Richard Evans, Alexander Pritzel, David Silver, Oriol Vinyals and Demis Hassabis

The paper introduces AlphaFold2, a deep-learning system that predicts three-dimensional protein structures directly from amino-acid sequence with near-experimental accuracy. It combines a novel attention-based Evoformer over multiple sequence alignments and pairwise representations with an end-to-end structure module that produces atomic coordinates. AlphaFold won the CASP14 assessment by a wide margin, delivering atomic-level accuracy for the majority of targets.

alphafold protein structure prediction deep learning structural biology

BiologyScience · Jul 2021 Open access

Accurate prediction of protein structures and interactions using a three-track neural network

Minkyung Baek, Frank DiMaio and David Baker

This paper presented RoseTTAFold, a three-track neural network that simultaneously processes one-dimensional sequence, two-dimensional residue-pair distances, and three-dimensional atomic coordinate information, with information flowing between the tracks. The method achieved protein structure prediction accuracy approaching that of AlphaFold2 while being more computationally efficient. It also demonstrated rapid generation of accurate models for protein-protein complexes.

protein structure prediction rosettafold deep learning protein interactions