Wernisch et al., 2003 - Google Patents
Identifying structural domains in proteinsWernisch et al., 2003
- Document ID
- 10395089053375477958
- Author
- Wernisch L
- Wodak S
- Publication year
- Publication venue
- Structural Bioinformatics
External Links
Snippet
The notion of domains in proteins plays a very important role in structural biology, genetics, biochemistry, and evolutionary biology. Often, however, this notion is defined differently in each of these subdisciplines. In structural biology, domains were initially defined as …
- 102000004169 proteins and genes 0 title abstract description 103
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- G06F19/16—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for molecular structure, e.g. structure alignment, structural or functional relations, protein folding, domain topologies, drug targeting using structure data, involving two-dimensional or three-dimensional structures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- G06F19/22—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for sequence comparison involving nucleotides or amino acids, e.g. homology search, motif or SNP [Single-Nucleotide Polymorphism] discovery or sequence alignment
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- G06F19/28—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for programming tools or database systems, e.g. ontologies, heterogeneous data integration, data warehousing or computing architectures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- G06F19/18—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for functional genomics or proteomics, e.g. genotype-phenotype associations, linkage disequilibrium, population genetics, binding site identification, mutagenesis, genotyping or genome annotation, protein-protein interactions or protein-nucleic acid interactions
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- G06F19/24—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for machine learning, data mining or biostatistics, e.g. pattern finding, knowledge discovery, rule extraction, correlation, clustering or classification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- G06F19/20—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for hybridisation or gene expression, e.g. microarrays, sequencing by hybridisation, normalisation, profiling, noise correction models, expression ratio estimation, probe design or probe optimisation
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/68—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving proteins, peptides or amino acids
- G01N33/6803—General methods of protein analysis not limited to specific proteins or families of proteins
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Park et al. | Mapping protein family interactions: intramolecular and intermolecular protein family interaction repertoires in the PDB and yeast | |
Janin et al. | Protein–protein interaction and quaternary structure | |
Kolodny et al. | Bridging themes: short protein segments found in different architectures | |
Novák et al. | Graph-based clustering and characterization of repetitive sequences in next-generation sequencing data | |
Tusnády et al. | Transmembrane proteins in the Protein Data Bank: identification and classification | |
Turner et al. | POCUS: mining genomic sequence annotation to predict disease genes | |
Schlicker et al. | A new measure for functional similarity of gene products based on Gene Ontology | |
Gerstein et al. | Comparing genomes in terms of protein structure: surveys of a finite parts list | |
Harris et al. | Automated prediction of ligand‐binding sites in proteins | |
Schmitt et al. | A new method to detect related function among proteins independent of sequence and fold homology | |
Chen et al. | Computational analyses of high-throughput protein-protein interaction data | |
Attwood | The quest to deduce protein function from sequence: the role of pattern databases | |
Via et al. | Protein surface similarities: a survey of methods to describe and compare protein surfaces | |
Kolbeck et al. | Connectivity independent protein-structure alignment: a hierarchical approach | |
Preißner et al. | Dictionary of interfaces in proteins (DIP). Data bank of complementary molecular surface patches | |
Launay et al. | Homology modelling of protein-protein complexes: a simple method and its possibilities and limitations | |
Wernisch et al. | Identifying structural domains in proteins | |
Radom et al. | Computational modeling of designed Ankyrin Repeat Protein complexes with their targets | |
Ng et al. | Discovering protein–protein interactions | |
Ingolfsson et al. | Protein domain prediction | |
Heuser et al. | Refinement of unbound protein docking studies using biological knowledge | |
Veretnik et al. | Identifying structural domains in proteins | |
Regad et al. | Dissecting protein loops with a statistical scalpel suggests a functional implication of some structural motifs | |
Azé et al. | Using Kendall-τ meta-bagging to improve protein-protein docking predictions | |
Hu et al. | Clustering and visualizing similarity networks of membrane proteins |