Abstract: The relationship between an amino acid sequence of a protein and its three-dimensional structure is at the very core of structural biology and bioinformatics. The occurrence and conservation of non-canonical conformations is a “local” phenomenon, i.e., non-canonical conformations are encoded intra-helically by short peptide sequences (heptapeptides at most). Effective descriptors can be formed for these short sequences employing training sets. Multiple, distinct patterns are created representing these sequences. A composite descriptor is formed by selecting from among the patterns discovered. The composite descriptor has a high level of sensitivity and specificity while, at the same time, a boosted signal-to-noise ratio.

Abstract: The relationship between an amino acid sequence of a protein and its three-dimensional structure is at the very core of structural biology and bioinformatics. The occurrence and conservation of non-canonical conformations is a “local” phenomenon, i.e., non-canonical conformations are encoded intra-helically by short peptide sequences (heptapeptides at most). Effective descriptors can be formed for these short sequences employing training sets. Multiple, distinct patterns are created representing these sequences. A composite descriptor is formed by selecting from among the patterns discovered. The composite descriptor has a high level of sensitivity and specificity while, at the same time, a boosted signal-to-noise ratio.

Abstract: The relationship between an amino acid sequence of a protein and its three-dimensional structure is at the very core of structural biology and bioinformatics. The occurrence and conservation of non-canonical conformations is a “local” phenomenon, i.e., non-canonical conformations are encoded intra-helically by short peptide sequences (heptapeptides at most). Effective descriptors can be formed for these short sequences employing training sets. Multiple, distinct patterns are created representing these sequences. A composite descriptor is formed by selecting from among the patterns discovered. The composite descriptor has a high level of sensitivity and specificity while, at the same time, a boosted signal-to-noise ratio.

Abstract: The relationship between an amino acid sequence of a protein and its three-dimensional structure is at the very core of structural biology and bioinformatics. The occurrence and conservation of non-canonical conformations is a “local” phenomenon, i.e., non-canonical conformations are encoded intra-helically by short peptide sequences (heptapeptides at most). Effective descriptors can be formed for these short sequences employing training sets. Multiple, distinct patterns are created representing these sequences. A composite descriptor is formed by selecting from among the patterns discovered. The composite descriptor has a high level of sensitivity and specificity while, at the same time, a boosted signal-to-noise ratio.

Abstract: The relationship between an amino acid sequence of a protein and its three-dimensional structure is at the very core of structural biology and bioinformatics. The occurrence and conservation of non-canonical conformations is a “local” phenomenon, i.e., non-canonical conformations are encoded intra-helically by short peptide sequences (heptapeptides at most). Effective descriptors can be formed for these short sequences employing training sets. Multiple, distinct patterns are created representing these sequences. A composite descriptor is formed by selecting from among the patterns discovered. The composite descriptor has a high level of sensitivity and specificity while, at the same time, a boosted signal-to-noise ratio.

Abstract: The relationship between an amino acid sequence of a protein and its three-dimensional structure is at the very core of structural biology and bioinformatics. The occurrence and conservation of non-canonical conformations is a “local” phenomenon, i.e., non-canonical conformations are encoded intra-helically by short peptide sequences (heptapeptides at most). Effective descriptors can be formed for these short sequences employing training sets. Multiple, distinct patterns are created representing these sequences. A composite descriptor is formed by selecting from among the patterns discovered. The composite descriptor has a high level of sensitivity and specificity while, at the same time, a boosted signal-to-noise ratio.