Armon et al., 2001 - Google Patents
ConSurf: an algorithmic tool for the identification of functional regions in proteins by surface mapping of phylogenetic informationArmon et al., 2001
View PDF- Document ID
- 12002902589149217150
- Author
- Armon A
- Graur D
- Ben-Tal N
- Publication year
- Publication venue
- Journal of molecular biology
External Links
Snippet
Experimental approaches for the identification of functionally important regions on the surface of a protein involve mutagenesis, in which exposed residues are replaced one after another while the change in binding to other proteins or changes in activity are recorded …
- 102000004169 proteins and genes 0 title abstract description 109
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
- G06F19/18—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
- G06F19/28—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
- 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
- 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
- G06F19/26—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for data visualisation, e.g. graphics generation, display of maps or networks or other visual representations
-
- 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
- G06F19/14—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for phylogeny or evolution, e.g. evolutionarily conserved regions determination or phylogenetic tree construction
-
- 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
- G06F19/70—Chemoinformatics, i.e. data processing methods or systems for the retrieval, analysis, visualisation, or storage of physicochemical or structural data of chemical compounds
- G06F19/706—Chemoinformatics, i.e. data processing methods or systems for the retrieval, analysis, visualisation, or storage of physicochemical or structural data of chemical compounds for drug design with the emphasis on a therapeutic agent, e.g. ligand-biological target interactions, pharmacophore generation
-
- C—CHEMISTRY; METALLURGY
- C07—ORGANIC CHEMISTRY
- C07K—PEPTIDES
- C07K14/00—Peptides having more than 20 amino acids; Gastrins; Somatostatins; Melanotropins; Derivatives thereof
- C07K14/435—Peptides having more than 20 amino acids; Gastrins; Somatostatins; Melanotropins; Derivatives thereof from animals; from humans
- C07K14/705—Receptors; Cell surface antigens; Cell surface determinants
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Armon et al. | ConSurf: an algorithmic tool for the identification of functional regions in proteins by surface mapping of phylogenetic information | |
Gainza et al. | De novo design of protein interactions with learned surface fingerprints | |
Janin et al. | Protein–protein interaction and quaternary structure | |
Holm et al. | Evaluation of protein models by atomic solvation preference | |
Norel et al. | Electrostatic contributions to protein–protein interactions: fast energetic filters for docking and their physical basis | |
Šali et al. | Evaluation of comparative protein modeling by MODELLER | |
Vyas et al. | Homology modeling a fast tool for drug discovery: current perspectives | |
Xu et al. | Hydrogen bonds and salt bridges across protein-protein interfaces. | |
CA2347917C (en) | Protein engineering | |
Madabushi et al. | Structural clusters of evolutionary trace residues are statistically significant and common in proteins | |
Schmitt et al. | A new method to detect related function among proteins independent of sequence and fold homology | |
Luscombe et al. | Protein–DNA interactions: amino acid conservation and the effects of mutations on binding specificity | |
US6269312B1 (en) | Apparatus and method for automated protein design | |
Schneidman-Duhovny et al. | Predicting molecular interactions in silico: II. Protein-protein and protein-drug docking | |
Huggins et al. | Systematic placement of structural water molecules for improved scoring of protein–ligand interactions | |
Jiang et al. | Pharmacophore-based similarity scoring for DOCK | |
Wanner et al. | Druggability assessment of protein–protein interfaces | |
Baker et al. | Ab initio modeling of the herpesvirus VP26 core domain assessed by CryoEM density | |
WO2005008240A2 (en) | STRUCTURAL INTERACTION FINGERPRINT (SIFt) | |
US9840544B2 (en) | Method for development of a peptide building block useful for de novo protein design | |
Amodeo et al. | Modularity and homology: modelling of the titin type I modules and their interfaces | |
Chipot | Free energy calculations in biological systems. How useful are they in practice? | |
Chen et al. | Identification of functionally important residues in proteins using comparative models | |
Ali et al. | Replication protein A 32 interacts through a similar binding interface with TIPIN, XPA, and UNG2 | |
EP1373887A1 (en) | Computer-based strategy for peptide and protein conformational ensemble enumeration and ligand affinity analysis |