Nicaragua: diagnóstico de las fuentes de energía nuevas y renovables y del uso racional de la energía

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Additional file 8: Table S5. of RRCRank: a fusion method using rank strategy for residue-residue contact prediction

The p-values in Student’s t-test for the difference on L/5 prediction precision between different methods on CASP11 dataset. (PDF 112 kb

Additional file 3: Figure. S1. of RRCRank: a fusion method using rank strategy for residue-residue contact prediction

The distributions of protein domains’ length on the CASP11 dataset and CASP12 dataset. (a) CASP11 dataset. (b) CASP12 dataset. (PDF 44 kb

Additional file 9: Table S6. of RRCRank: a fusion method using rank strategy for residue-residue contact prediction

The p-values in Student’s t-test for the difference in L/5 prediction precision between different methods on CASP12 dataset. (PDF 258 kb

Additional file 2: Table S2. of RRCRank: a fusion method using rank strategy for residue-residue contact prediction

Detailed list of the 55 protein domains of CASP12 dataset. (PDF 30 kb

Additional file 7: Table S4. of RRCRank: a fusion method using rank strategy for residue-residue contact prediction

The comparative results of the proposed method with the state-of-the-art methods on 40 CASP12 targets. (PDF 13 kb