I-TASSER-MTD: a deep-learning-based platform for multi-domain protein structure and function prediction
Most proteins in cells are composed of multiple folding units (or domains) to perform
complex functions in a cooperative manner. Relative to the rapid progress in single-domain …
complex functions in a cooperative manner. Relative to the rapid progress in single-domain …
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 …
Folding non-homologous proteins by coupling deep-learning contact maps with I-TASSER assembly simulations
Structure prediction for proteins lacking homologous templates in the Protein Data Bank
(PDB) remains a significant unsolved problem. We developed a protocol, CI-TASSER, to …
(PDB) remains a significant unsolved problem. We developed a protocol, CI-TASSER, to …
Deep‐learning contact‐map guided protein structure prediction in CASP13
We report the results of two fully automated structure prediction pipelines,“Zhang‐Server”
and “QUARK”, in CASP13. The pipelines were built upon the C‐I‐TASSER and C‐QUARK …
and “QUARK”, in CASP13. The pipelines were built upon the C‐I‐TASSER and C‐QUARK …
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 …
SubMito-XGBoost: predicting protein submitochondrial localization by fusing multiple feature information and eXtreme gradient boosting
Motivation Mitochondria are an essential organelle in most eukaryotes. They not only play
an important role in energy metabolism but also take part in many critical cytopathological …
an important role in energy metabolism but also take part in many critical cytopathological …
Improving fragment-based ab initio protein structure assembly using low-accuracy contact-map predictions
Sequence-based contact prediction has shown considerable promise in assisting non-
homologous structure modeling, but it often requires many homologous sequences and a …
homologous structure modeling, but it often requires many homologous sequences and a …
Accurate prediction of protein contact maps by coupling residual two-dimensional bidirectional long short-term memory with convolutional neural networks
Motivation Accurate prediction of a protein contact map depends greatly on capturing as
much contextual information as possible from surrounding residues for a target residue pair …
much contextual information as possible from surrounding residues for a target residue pair …
ResPRE: high-accuracy protein contact prediction by coupling precision matrix with deep residual neural networks
Motivation Contact-map of a protein sequence dictates the global topology of structural fold.
Accurate prediction of the contact-map is thus essential to protein 3D structure prediction …
Accurate prediction of the contact-map is thus essential to protein 3D structure prediction …
Deducing high-accuracy protein contact-maps from a triplet of coevolutionary matrices through deep residual convolutional networks
The topology of protein folds can be specified by the inter-residue contact-maps and
accurate contact-map prediction can help ab initio structure folding. We developed …
accurate contact-map prediction can help ab initio structure folding. We developed …