Large-Scale prediction of human protein− protein interactions from amino acid sequence based on latent topic features
Protein− protein interaction (PPI) is at the core of the entire interactomic system of any living
organism. Although there are many human protein− protein interaction links being …
organism. Although there are many human protein− protein interaction links being …
Mining from protein–protein interactions
H Mamitsuka - Wiley Interdisciplinary Reviews: Data Mining and …, 2012 - Wiley Online Library
Proteins are important cellular molecules, and interacting protein pairs provide biologically
important information, such as functional relationships. We focus on the problem of …
important information, such as functional relationships. We focus on the problem of …
Critical assessment of sequence-based protein-protein interaction prediction methods that do not require homologous protein sequences
Y Park - BMC bioinformatics, 2009 - Springer
Background Protein-protein interactions underlie many important biological processes.
Computational prediction methods can nicely complement experimental approaches for …
Computational prediction methods can nicely complement experimental approaches for …
Protein interaction networks: protein domain interaction and protein function prediction
Most of a cell's functional processes involve interactions among proteins, and a key
challenge in proteomics is to better understand these complex interaction graphs at a …
challenge in proteomics is to better understand these complex interaction graphs at a …
Reconstruction of metabolic pathways by combining probabilistic graphical model-based and knowledge-based methods
Automatic reconstruction of metabolic pathways for an organism from genomics and
transcriptomics data has been a challenging and important problem in bioinformatics …
transcriptomics data has been a challenging and important problem in bioinformatics …
Inferring the Brassica rapa Interactome Using Protein–Protein Interaction Data from Arabidopsis thaliana
Following successful completion of the Brassica rapa sequencing project, the next step is to
investigate functions of individual genes/proteins. For Arabidopsis thaliana, large amounts of …
investigate functions of individual genes/proteins. For Arabidopsis thaliana, large amounts of …
The Transcriptome Analysis of Circular RNAs Between the Doxorubicin-Induced Cardiomyocytes and Bone Marrow Mesenchymal Stem Cells-Derived Exosomes …
Y Wei, H Wei, C Tian, Q Wu, D Li… - … Chemistry & High …, 2024 - ingentaconnect.com
Aim: To analyze the sequencing results of circular RNAs (circRNAs) in cardiomyocytes
between the doxorubicin (DOX)-injured group and exosomes treatment group. Moreover, to …
between the doxorubicin (DOX)-injured group and exosomes treatment group. Moreover, to …
Yeast protein–protein interaction binding sites: prediction from the motif–motif, motif–domain and domain–domain levels
E Pang, K Lin - Molecular BioSystems, 2010 - pubs.rsc.org
Interacting proteins can contact with each other at three different levels: by a domain binding
to another domain, by a domain binding to a short protein motif, or by a motif binding to …
to another domain, by a domain binding to a short protein motif, or by a motif binding to …
Triangle network motifs predict complexes by complementing high-error interactomes with structural information
Background A lot of high-throughput studies produce protein-protein interaction networks
(PPINs) with many errors and missing information. Even for genome-wide approaches, there …
(PPINs) with many errors and missing information. Even for genome-wide approaches, there …
Multi-level learning: improving the prediction of protein, domain and residue interactions by allowing information flow between levels
Background Proteins interact through specific binding interfaces that contain many residues
in domains. Protein interactions thus occur on three different levels of a concept hierarchy …
in domains. Protein interactions thus occur on three different levels of a concept hierarchy …