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Fueling ab initio folding with marine metagenomics enables structure and function predictions of new protein families.
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- Genome Biology, 2019, v. 20, n. 1, p. 1, doi. 10.1186/s13059-019-1823-z
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- Article
DeepMSA: constructing deep multiple sequence alignment to improve contact prediction and fold-recognition for distant-homology proteins.
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- Bioinformatics, 2020, v. 36, n. 7, p. 2105, doi. 10.1093/bioinformatics/btz863
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- Article
Improving fragment-based ab initio protein structure assembly using low-accuracy contact-map predictions.
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- Nature Communications, 2021, v. 12, n. 1, p. 1, doi. 10.1038/s41467-021-25316-w
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- Article
Deep‐learning contact‐map guided protein structure prediction in CASP13.
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- Proteins, 2019, v. 87, n. 12, p. 1149, doi. 10.1002/prot.25792
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- Article
Template‐based and free modeling of I‐TASSER and QUARK pipelines using predicted contact maps in CASP12.
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- Proteins, 2018, v. 86, n. 1, p. 136, doi. 10.1002/prot.25414
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- Article
NeBcon: protein contact map prediction using neural network training coupled with naïve Bayes classifiers.
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- Bioinformatics, 2017, v. 33, n. 15, p. 2296, doi. 10.1093/bioinformatics/btx164
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- Article
Detecting distant-homology protein structures by aligning deep neural-network based contact maps.
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- PLoS Computational Biology, 2019, v. 15, n. 10, p. 1, doi. 10.1371/journal.pcbi.1007411
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- Article