The HSSP data base of protein structure — sequence alignments
نویسندگان
چکیده
منابع مشابه
The HSSP database of protein structure-sequence alignments
HSSP is a derived database merging structural (3-D) and sequence (1-D) information. For each protein of known 3-D structure from the Protein Data Bank (PDB), the database has a multiple sequence alignment of all available homologues and a sequence profile characteristic of the family. The list of homologues is the result of a database search in SwissProt using a position-weighted dynamic progra...
متن کاملThe HSSP database of protein structure-sequence alignments and family profiles
HSSP (http: //www.sander.embl-ebi.ac.uk/hssp/) is a derived database merging structure (3-D) and sequence (1-D) information. For each protein of known 3D structure from the Protein Data Bank (PDB), we provide a multiple sequence alignment of putative homologues and a sequence profile characteristic of the protein family, centered on the known structure. The list of homologues is the result of a...
متن کاملComparative Visualization of Protein Structure-Sequence Alignments
Protein fold recognition (threading) involves the prediction of a protein’s three-dimensional shape based on its similarity to a protein whose structure is known. Fold predictions are low resolution; no effort is made to rotate the protein’s component amino acid side chains into their correct spatial orientations. Rather, the goal is to recognize the protein family member that most closely rese...
متن کاملProtein folds and families: sequence and structure alignments
Dali and HSSP are derived databases organizing protein space in the structurally known regions. We use an automatic structure alignment program (Dali) for the classification of all known 3D structures based on all-against-all comparison of 3D structures in the Protein Data Bank. The HSSP database associates 1D sequences with known 3D structures using a position-weighted dynamic programming meth...
متن کاملPROMALS3D: a tool for multiple protein sequence and structure alignments
Although multiple sequence alignments (MSAs) are essential for a wide range of applications from structure modeling to prediction of functional sites, construction of accurate MSAs for distantly related proteins remains a largely unsolved problem. The rapidly increasing database of spatial structures is a valuable source to improve alignment quality. We explore the use of 3D structural informat...
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ژورنال
عنوان ژورنال: Nucleic Acids Research
سال: 1993
ISSN: 0305-1048,1362-4962
DOI: 10.1093/nar/21.13.3105