Search for Database Metadata
| Database name ⇅ | DOI ⇅ | Database classification ⇅ | Organism ⇅ | Database description ⇅ | Features and manner of utilization of database ⇅ | Database maintenance site ⇅ | License ⇅ |
|---|---|---|---|---|---|---|---|
| DB-SPIRE | 10.18908/lsdba.nbdc00411-000 |
Structure Databases - Protein structure
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This database has the positional information in the amino acid motif structure. The information is identified by experiments or sequence analysis (homology search and multiple alignment). We use PROSITE and BLOCKS as amino acid motif databases. PROSITE has motives from experiments, and BLOCKS has motives from both experiments and sequence analysis. We use PDB as the protein structure database and decide the motif position from SEQRES and ATOM sequences. The reason we need SEQRES and ATOM sequences is because those are not matched in some PDB entries. |
This database is aimed to make researchers in bioinformatics, biochemistry or structural biology understand quickly protein function structures.
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National Institute of Industrial Science and Technology (AIST), Tokyo Waterfront |
CC BY-SA | |
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dbQSNP
(Database of SNPs in human genome with allele frequency information) |
10.18908/lsdba.nbdc00042-000 |
Human Genes and Diseases - General polymorphism databases
|
Homo sapiens
(9606)
|
SNP discovery and determination of their allele frequency in various sample groups using pooled DNA-quantitative fluorescent SSCP analysis |
Most of SNPs described here were collected around the transcription start sites of many genes, and their allele frequencies were precisely determined by quantitative fluorescent SSCP analysis of pooled DNA constructed using various populations. These data is useful for the determination of genetic background of various quantitative variation of phenotypes of populations. |
Research Center for Genetic Information, Medical Institute of Bioregulation, Kyushu University |
CC BY-SA |
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TMFunction
(Functional Database of Membrane Proteins) |
10.18908/lsdba.nbdc00714-000 |
Structure Databases - Protein structure
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TMFunction is a database of functional residues in alpha-helical and beta-barrel membrane proteins. Each protein is identified with its name and source alongwith the UniProt code. The protein data bank (PDB) codes are also given for available proteins. Different methods and experimental parameters, for example, affinity, dissociation constant, IC50, activity etc. are given in the database. Further, we have provided the numerical experimental value for each residue (or mutant) in a protein. The experimental data are collected from the literature both by searching the journals as well as with the keyword search at PubMed. In addition, complete reference is given with journal citation and PMID number. |
TMFunction is cross-linked with the sequence database, UniProt, structural database, PDB, and literature database, PubMed. |
National Institute of Industrial Science and Technology (AIST), Tokyo Waterfront |
CC BY-SA | |
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PSCDB
(Protein Structural Change DataBase) |
10.18908/lsdba.nbdc01636-000 |
Structure Databases - Protein structure
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The purpose of this database is to represent the relationship between protein structural change and ligand binding. We classified protein structural changes into 7 classes, in terms of the ligand binding sites and the location where the dominant motion occurs. |
CC BY-SA | |||
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ConfC
(Database of conformation changes in protein structures) |
10.18908/lsdba.nbdc00400-000 |
Structure Databases - Small molecules
Structure Databases - Nucleic acid structure
Structure Databases - Protein structure
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This database extracts this dynamic information from the protein structure being obtained now and is consist of three kinds of sub-database, that is, 1) evolutional structure change, 2) conformation changes by some binding and 3) structural flexibility, which were individually classified respectively. |
This database will be used to 1) study protein structure stability, functional expression based on sequence changes, 2) study mechanism of gene disease based on protein structure, and 3) develop prediction methods for the protein function, disorder region and domain linker, and the method of drug design by considering the protein the movement. |
National Institute of Industrial Science and Technology (AIST), Tokyo Waterfront |
CC BY-SA | |
| Database name | DOI | Database classification | Organism | Database description | Features and manner of utilization of database | Database maintenance site | License |