Critical assessment of methods of protein structure prediction (CASP)—Round XIII
CASP (critical assessment of structure prediction) assesses the state of the art in modeling
protein structure from amino acid sequence. The most recent experiment (CASP13 held in …
protein structure from amino acid sequence. The most recent experiment (CASP13 held in …
Deep learning in protein structural modeling and design
Deep learning is catalyzing a scientific revolution fueled by big data, accessible toolkits, and
powerful computational resources, impacting many fields, including protein structural …
powerful computational resources, impacting many fields, including protein structural …
Benchmarking AlphaFold for protein complex modeling reveals accuracy determinants
High‐resolution experimental structural determination of protein–protein interactions has led
to valuable mechanistic insights, yet due to the massive number of interactions and …
to valuable mechanistic insights, yet due to the massive number of interactions and …
Improved protein structure prediction using potentials from deep learning
Protein structure prediction can be used to determine the three-dimensional shape of a
protein from its amino acid sequence. This problem is of fundamental importance as the …
protein from its amino acid sequence. This problem is of fundamental importance as the …
Improved protein structure prediction using predicted interresidue orientations
The prediction of interresidue contacts and distances from coevolutionary data using deep
learning has considerably advanced protein structure prediction. Here, we build on these …
learning has considerably advanced protein structure prediction. Here, we build on these …
Improved protein structure prediction by deep learning irrespective of co-evolution information
Predicting the tertiary structure of a protein from its primary sequence has been greatly
improved by integrating deep learning and co-evolutionary analysis, as shown in CASP13 …
improved by integrating deep learning and co-evolutionary analysis, as shown in CASP13 …
Critical assessment of methods of protein structure prediction (CASP)—Round XIV
Critical assessment of structure prediction (CASP) is a community experiment to advance
methods of computing three‐dimensional protein structure from amino acid sequence. Core …
methods of computing three‐dimensional protein structure from amino acid sequence. Core …
Toward the solution of the protein structure prediction problem
Since Anfinsen demonstrated that the information encoded in a protein's amino acid
sequence determines its structure in 1973, solving the protein structure prediction problem …
sequence determines its structure in 1973, solving the protein structure prediction problem …
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 …
Incorporating machine learning into established bioinformatics frameworks
The exponential growth of biomedical data in recent years has urged the application of
numerous machine learning techniques to address emerging problems in biology and …
numerous machine learning techniques to address emerging problems in biology and …