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Apr 15, 2024 · Protein structural annotation and classification is an important problem in bioinformatics. We report on the development of an efficient subgraph mining ...
Mar 8, 2024 · SCOP: a structural classification of proteins database. Nucleic Acids ... Accurate prediction of protein structures and interactions using a three-track.
Oct 27, 2023 · Predicting properties of proteins is of interest for basic biological understanding and protein engineering alike. Increasingly, machine learning (ML) ...
Mar 15, 2024 · Knowledge graph (KG), a data structure depicting real-world entities and their relationships, has emerged as a favored method for integrating databases and ...
Sep 18, 2023 · Multi-layer sequential network analysis improves protein 3D structural classification. PROTEINS: Structure, Function, and Bioinformatics, 90(9):1721–1731, 2022.
Feb 5, 2024 · ML methods have emerged to help with both approaches (Figure 2). Classification methods can annotate protein sequence/structure databases and uncover ...
Apr 30, 2024 · Abstract. The Densest Subgraph Problem requires us to find, in a given graph, a subset of vertices whose induced subgraph maximizes a measure of density.
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May 14, 2024 · In summary, our model shows high accuracy for drug response prediction, allowing us to determine the predictor importance using attention coefficients. This ...
Aug 5, 2023 · Structural bias or segregation of networks refers to situations where two or more disparate groups are present in the network, so that the groups are highly ...