Genome3D: a UK collaborative project to annotate genomic sequences with predicted 3D structures based on SCOP and CATH domains
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Summary
The main aim of Genome3D is to enable comparisons between all the resources so that biologists can see where predictions agree and are therefore more trusted, and contains the first official mapping between these two databases.
- Type
- article
- Published
- 2012-11-30
- Cited by
- 61
- References
- 34
- Access
- Open access
- OpenAlex
- https://openalex.org/W1978594833
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:6440030
Keywords
Biology, UniProt, Genome, Exploit, Computational biology
References
- Definition of general topological equivalence in protein structures. A procedure involving comparison of properties and relationships through simulated annealing and dynamic programming.
- SUPERFAMILY: HMMs representing all proteins of known structure. SCOP sequence searches, alignments and genome assignments
- Data growth and its impact on the SCOP database: new developments
- Comparative Protein Structure Modeling Using Modeller
- CATHEDRAL: A Fast and Effective Algorithm to Predict Folds and Domain Boundaries from Multidomain Protein Structures
- Protein structure alignment.
- Statistical potential for assessment and prediction of protein structures
- HOMSTRAD: A database of protein structure alignments for homologous families
- FUGUE: sequence-structure homology recognition using environment-specific substitution tables and structure-dependent gap penalties.
- A graph‐theory algorithm for rapid protein side‐chain prediction
- A fast algorithm for the maximum clique problem
- Gene3D: merging structure and function for a Thousand genomes
- Protein structure prediction on the Web: a case study using the Phyre server
- Comparative protein modelling by satisfaction of spatial restraints.
- Cyclic coordinate descent: A robotics algorithm for protein loop closure
- Methods of remote homology detection can be combined to increase coverage by 10% in the midnight zone
- Extending CATH: increasing coverage of the protein structure universe and linking structure with function
- Assignment of homology to genome sequences using a library of hidden Markov models that represent all proteins of known structure.
- Characterization of pathogenic germline mutations in human Protein Kinases
- The worldwide Protein Data Bank (wwPDB): ensuring a single, uniform archive of PDB data
Cited by
- The integration of sequencing and bioinformatics in metagenomics
- Integration and analysis of protein evolutionary relationships and small molecule bioactivity data
- The history of the CATH structural classification of protein domains
- The Phyre2 web portal for protein modelling, prediction and analysis
- New mini- zincin structures provide a minimal scaffold for members of this metallopeptidase superfamily
- Coiled-coil helix rotation selects repressing or activating state of transcriptional regulator DhaR.
- Classification of Intrinsically Disordered Regions and Proteins
- Open source libraries and frameworks for biological data visualisation: A guide for developers
- SuSPect: Enhanced Prediction of Single Amino Acid Variant (SAV) Phenotype Using Network Features
- A hybrid method for identification of structural domains
- Protein–protein interaction networks studies and importance of 3D structure knowledge
- Cluster and Fold Stability of E. coli ISC-Type Ferredoxin
- Gene3D: Multi-domain annotations for protein sequence and comparative genome analysis
- Genome3D: exploiting structure to help users understand their sequences
- The plant RWP-RK transcription factors: key regulators of nitrogen responses and of gametophyte development.
- The SUPERFAMILY 1.75 database in 2014: a doubling of data
- Anatomy of BioJS, an open source community for the life sciences
- CHOPIN: a web resource for the structural and functional proteome of Mycobacterium tuberculosis
- The electrostatic profile of consecutive Cβ atoms applied to protein structure quality assessment
- Synthetic biology for the directed evolution of protein biocatalysts: navigating sequence space intelligently
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