Deep learning techniques have significantly impacted protein structure prediction and protein design
HighlightsThe recent use of deep learning has dramatically improved the accuracy of non-
homologous protein structure modeling.Protein structure prediction problem was largely …
homologous protein structure modeling.Protein structure prediction problem was largely …
Distance-based protein folding powered by deep learning
J Xu - Proceedings of the National Academy of Sciences, 2019 - National Acad Sciences
Direct coupling analysis (DCA) for protein folding has made very good progress, but it is not
effective for proteins that lack many sequence homologs, even coupled with time-consuming …
effective for proteins that lack many sequence homologs, even coupled with time-consuming …
Methods for the refinement of protein structure 3D models
R Adiyaman, LJ McGuffin - International journal of molecular sciences, 2019 - mdpi.com
The refinement of predicted 3D protein models is crucial in bringing them closer towards
experimental accuracy for further computational studies. Refinement approaches can be …
experimental accuracy for further computational studies. Refinement approaches can be …
Structural basis of ER-associated protein degradation mediated by the Hrd1 ubiquitin ligase complex
INTRODUCTION Protein homeostasis in the endoplasmic reticulum (ER) is maintained by a
quality control system. When a newly synthesized ER protein misfolds, it is ultimately …
quality control system. When a newly synthesized ER protein misfolds, it is ultimately …
A structural model of the endogenous human BAF complex informs disease mechanisms
Mammalian SWI/SNF complexes are ATP-dependent chromatin remodeling complexes that
regulate genomic architecture. Here, we present a structural model of the endogenously …
regulate genomic architecture. Here, we present a structural model of the endogenously …
DeepMSA: constructing deep multiple sequence alignment to improve contact prediction and fold-recognition for distant-homology proteins
Motivation The success of genome sequencing techniques has resulted in rapid explosion
of protein sequences. Collections of multiple homologous sequences can provide critical …
of protein sequences. Collections of multiple homologous sequences can provide critical …
Deep learning extends de novo protein modelling coverage of genomes using iteratively predicted structural constraints
The inapplicability of amino acid covariation methods to small protein families has limited
their use for structural annotation of whole genomes. Recently, deep learning has shown …
their use for structural annotation of whole genomes. Recently, deep learning has shown …
Analysis of distance‐based protein structure prediction by deep learning in CASP13
This paper reports the CASP13 results of distance‐based contact prediction, threading, and
folding methods implemented in three RaptorX servers, which are built upon the powerful …
folding methods implemented in three RaptorX servers, which are built upon the powerful …
Tau local structure shields an amyloid-forming motif and controls aggregation propensity
Tauopathies are neurodegenerative diseases characterized by intracellular amyloid
deposits of tau protein. Missense mutations in the tau gene (MAPT) correlate with …
deposits of tau protein. Missense mutations in the tau gene (MAPT) correlate with …
Assembling multidomain protein structures through analogous global structural alignments
Most proteins exist with multiple domains in cells for cooperative functionality. However,
structural biology and protein folding methods are often optimized for single-domain …
structural biology and protein folding methods are often optimized for single-domain …