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Cell Reports Methods
Structure prediction for proteins lacking homologous templates in the Protein Data Bank (PDB) remains a significant unsolved problem. We developed a protocol, C-I-TASSER, to integrate interresidue contact maps from deep neural-network learning with the cutting-edge I-TASSER fragment assembly simulations. Large-scale benchmark tests showed that C-I-TASSER can fold more than twice the number of non-homologous proteins than the I-TASSER, which does not use contacts. When applied to a foldingdoi:10.1016/j.crmeth.2021.100014 pmid:34355210 pmcid:PMC8336924 fatcat:arhhxqtquvhr3o7xnzxbcdnlme