Introduction to informatics approaches in structural genomics: modeling and representation of function from macromolecular structure.

@article{citeulike:833681, abstract = {Despite the advantages provided by the enormous recent increases in the availability of structural information, functional assignment for the large number of proteins represented in the sequence and structural genomics projects remains a pressing problem for genomic era biology. This section describes work relevant to this problem from several perspectives, including new approaches that take advantage of combined structure and sequence-based classification. Leveraging of genomic context and evolutionary information to improve classification and predictive power is a second prominent theme in the papers represented here. Finally, issues in building a database for linking sequence, structural, and functional information are explored.}, address = {Departments of Biopharmaceutical Sciences and Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA 94143, USA.}, author = {Babbitt, P. C. and Bourne, P. E. and Mooney, S. D. }, citeulike-article-id = {833681}, journal = {Pac Symp Biocomput}, keywords = {a\_new}, pages = {319--321}, posted-at = {2007-11-01 09:51:11}, priority = {2}, title = {Introduction to informatics approaches in structural genomics: modeling and representation of function from macromolecular structure.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/15759637}, year = {2005} }

TY - JOUR ID - citeulike:833681 L3 - citeulike-article-id:833681 TI - Introduction to informatics approaches in structural genomics: modeling and representation of function from macromolecular structure. JF - Pac Symp Biocomput SP - 319 EP - 321 AD - Departments of Biopharmaceutical Sciences and Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA 94143, USA. N2 - Despite the advantages provided by the enormous recent increases in the availability of structural information, functional assignment for the large number of proteins represented in the sequence and structural genomics projects remains a pressing problem for genomic era biology. This section describes work relevant to this problem from several perspectives, including new approaches that take advantage of combined structure and sequence-based classification. Leveraging of genomic context and evolutionary information to improve classification and predictive power is a second prominent theme in the papers represented here. Finally, issues in building a database for linking sequence, structural, and functional information are explored. KW - a_new AU - Babbitt, PC AU - Bourne, PE AU - Mooney, SD PY - 2005/// UR - http://view.ncbi.nlm.nih.gov/pubmed/15759637 ER -