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Shape string is structural sequence and is an extremely important structure representation of protein backbone conformations. Nuclear magnetic resonance chemical shifts give a strong correlation with the local protein structure, and are exploited to predict protein structures in conjunction with computational approaches. Here we demonstrate a novel approach, NMRDSP, which can accurately predict the protein shape string based on nuclear magnetic resonance chemical shifts and structural profilesdoi:10.1371/journal.pone.0083532 pmid:24376713 pmcid:PMC3871590 fatcat:2fankard5je6lkicqbf4mhqazu