Based on this classification, we measure the correlation between functional annotations of interacting proteins by mutual information. For conserved interactions, this is nearly 20-times higher than for the set of all interactions (0.107 bits vs. 0.006 bits). Hence, conserved interactions are more ...
In order to discriminate between "interacted" proteins (positive examples) and "non-interacted" proteins (negative examples), the SVM learns a classification function from a set of positive examples χ+ and set of negative examples χ-. The classification function takes the form:...
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Convolutional neural networks on graphs with fast localized spectral filtering. In Advances in Neural Information Processing Systems Vol. 29 (2016). Kipf, T. N. & Welling, M. Semi-supervised classification with graph convolutional networks. In International Conference on Learning Representations Vol. ...
Amino acid torsion angles enable prediction of protein fold classification ArticleOpen access10 December 2020 The structure-based cancer-related single amino acid variation prediction ArticleOpen access30 June 2021 A novel method for achieving an optimal classification of the proteinogenic amino acids ...
K- nearest neighbor classifier, which is based on the similarity of sample points to select the first K sample points for voting classification. However, this K value is often unknown, and choosing different K values will produce different prediction results. Therefore, to obtain better prediction...
Protein family classification can significantly contribute to the delineation of functional diversity of homologous proteins, the prediction of function based on ... AJ Enright,SV Dongen,CA Ouzounis - 《Nucleic Acids Research》 被引量: 4570发表: 2002年 An efficient algorithm for large-scale detection...
Protein structure prediction pipelines based on artificial intelligence, such as AlphaFold2, have achieved near-experimental accuracy. These advanced pipelines mainly rely on multiple sequence alignments (MSAs) as inputs to learn the co-evolution information from the homologous sequences. Nonetheless, sear...
Based on the relative fractions of α-helixes and β-sheets as well as the ways of their spatial orientation a common structural classification of proteins (SCOP) notation has been introduced in17. It includes four main structural classes, namely all-α, all-β, α/β and α + β ...
Chaperomics therefore may enable many inquiries into AD biology, from screening for changes in protein function, PPIs, protein complexes; screening genotype-to-phenotype effects; discovery of new targets for AD treatment; and classification of AD based on functional proteome signatures, among others....