A Database Of Conserved Domain Alignments

点击翻译按钮获取中文摘要

We are producing a database of expert-curated protein domain alignments, describing sequence and 3D-structure conservation within protein families. These alignments are used to produce position-specific score matrices (PSSMs) that may in turn be used in NCBI?s web-based protein classification resources. Links to the Conserved Domain Database (CDD) are made by default from NCBI?s BLAST resource, http://www.ncbi.nlm.nih.gov/BLAST/, and from protein records in NCBI?s PubMed/Entrez browser, http://www.ncbi.nlm.nih.gov/entrez/query.fcgi. Further information about CDD and these search services is available at http://www.ncbi.nlm.nih.gov/Structure/cdd/cdd.shtml. These servers may be used to identify conserved domains within a protein sequence. They summarize the known functions of family members, using relevant citations from PubMed when possible. They also provide site-specific functional annotation, via sequence and structure alignments and via evidence-based interaction-site features. The CDD alignment project differs from earlier efforts in two fundamental ways: 3D-structure information is used whenever possible to guide alignments, and an explicit hierarchy of families and subfamilies describes the evolutionary history of each domain. When a 3D structure is known within a domain family, this information is used to define a conserved 3D core structure, a set of un-gapped blocks that must be identified in all representative sequences included in the alignment. Representative sequences are aligned to this core structure using threading or structure-based alignment algorithms or, when multiple structures are known, by structure-structure alignment. These procedures assure high alignment accuracy, as needed for accurate transfer of annotation to new family members identified by searching. Explicit hierarchies identify major gene duplication events in the molecular evolution of each family. Our basic strategy is to use domain-sequence clustering methods together with known domain architecture and phylogeny to identify what appear to be ancient orthology groups. These define explicitly annotated ?children? of the overall ?parent? alignment, and in turn provide more specific functional annotation. The CDD project employs a high level of automation, to produce structure-based alignments, to identify candidate orthology groups, to update CDD alignments with new sequences and structures, and to ?publish? the results to web servers. These algorithms and associated software required are described under another project, ?Alignment methods for a conserved domain database?. This project describes human-expert curation of CDD alignments. The role of the CDD curators is multifaceted. They first of all must survey relevant scientific literature, to produce concise summaries of the known functions of each domain family and to choose citations useful to users of NCBI?s web-based classification resources. Curators must also examine the results of automated sequence and structure comparison to infer the location of conserved core blocks, an iterative process that requires judgment with respect to elimination of incomplete or erroneous sequence and structure data. Curators must also identify apparent orthology groups, based on the consensus of results from alternative molecular evolution and clustering methods. The CDD curation project is new, and results over this year consist primarily of recruiting and training PhD biologists as CDD curators. Nonetheless, this group has produced several hundred curated CDD families which are now available via NCBI?s protein classification servers.