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Numerical Encodings of Amino Acids in Multivariate Gaussian Modeling of Protein Multiple Sequence Alignments

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Academic year: 2021

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Figure 1. Precision Positive Values (PPV) plotted against the number of predicted contacts for the PSICOV dataset (left) and the NOUMENON dataset (right)
Figure 3. AUC200 plotted against the lengths of the multiple sequence alignments, for different groups of sizes of those alignments, for the PSICOV dataset (left) and the NOUMENON dataset (right)
Figure 4. Performance of GaussCovar with 1D representations of amino acids over the PSICOV dataset (left) and the NOUMENON dataset (right)
Figure 5. These plots represent the 2D (left panels) and 3D (right panels) vector representations of amino acids as derived from the BLOSUM30 (top), and BLOSUM62 (bottom) matrices
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