Gene3D: a domain-based resource for comparative genomics, functional annotation and protein network analysis
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Summary
Gene3D now includes a domain functional family (FunFam) level below the homologous superfamily level assignments, and a new, revamped website to help with the visualization and interpretation of multi-genome scale data sets.
- Type
- article
- Published
- 2011-12-01
- Cited by
- 116
- References
- 41
- Access
- Open access
- OpenAlex
- https://openalex.org/W2057071212
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:52827243
Keywords
Biology, Annotation, Computational biology, Genomics, Functional genomics
References
- UniProtKB/Swiss-Prot.
- Kaposi's sarcoma-associated herpesvirus-infected primary effusion lymphoma has a plasma cell gene expression profile
- CATHEDRAL: A Fast and Effective Algorithm to Predict Folds and Domain Boundaries from Multidomain Protein Structures
- GeMMA: functional subfamily classification within superfamilies of predicted protein structural domains
- Ensembl Genomes: Extending Ensembl across the taxonomic space
- FLORA: A Novel Method to Predict Protein Function from Structure in Diverse Superfamilies
- Reactome knowledgebase of human biological pathways and processes
- Kaposi Sarcoma-associated Herpesvirus (KSHV): Molecular Biology and Oncogenesis
- Predicting Protein Function with Hierarchical Phylogenetic Profiles: The Gene3D Phylo-Tuner Method Applied to Eukaryotic Genomes
- MINT: the Molecular INTeraction database
- The STRING database in 2011: functional interaction networks of proteins, globally integrated and scored
- Gene3D: merging structure and function for a Thousand genomes
- DIMA 3.0: Domain Interaction Map
- The CATH Hierarchy Revisited—Structural Divergence in Domain Superfamilies and the Continuity of Fold Space
- Maximal chromosome compaction occurs by axial shortening in anaphase and depends on Aurora kinase
- GenomeRNAi: a database for cell-based RNAi phenotypes
- Database resources of the National Center for Biotechnology Information: update
- Extending CATH: increasing coverage of the protein structure universe and linking structure with function
- SUPERFAMILY—sophisticated comparative genomics, data mining, visualization and phylogeny
- Gene Ontology: tool for the unification of biology
Cited by
- Data Mining Techniques for the Life Sciences
- The Plasmodiophora brassicae genome reveals insights in its life cycle and ancestry of chitin synthases
- Using CATH‐Gene3D to Analyze the Sequence, Structure, and Function of Proteins
- Clustering and Classification of Multi-domain Proteins
- Comparisons of Allergenic and Metazoan Parasite Proteins: Allergy the Price of Immunity
- Conserved host-pathogen PPIs. Globally conserved inter-species bacterial PPIs based conserved host-pathogen interactome derived novel target in C. pseudotuberculosis, C. diphtheriae, M. tuberculosis, C. ulcerans, Y. pestis, and E. coli targeted by Piper betel compounds.
- Skipper genome sheds light on unique phenotypic traits and phylogeny
- Protein structure prediction from sequence variation
- A Method for WD40 Repeat Detection and Secondary Structure Prediction
- EC-BLAST: A Tool to Automatically Search and Compare Enzyme Reactions
- PainNetworks: A web-based resource for the visualisation of pain-related genes in the context of their network associations
- Large α-aminonitrilase activity screening of nitrilase superfamily members: Access to conversion and enantiospecificity by LC–MS
- Protein Modelling: What Happened to the “Protein Structure Gap”?
- Gene3D: Multi-domain annotations for protein sequence and comparative genome analysis
- One origin for metallo-β-lactamase activity, or two? An investigation assessing a diverse set of reconstructed ancestral sequences based on a sample of phylogenetic trees
- EBI metagenomics—a new resource for the analysis and archiving of metagenomic data
- InterProScan 5: genome-scale protein function classification
- New functional families (FunFams) in CATH to improve the mapping of conserved functional sites to 3D structures
- Protein function prediction by massive integration of evolutionary analyses and multiple data sources
- The Structure–Function Linkage Database
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