ArticleGenome research2004
High-throughput computational and experimental techniques in structural genomics.
Article in Genome research, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Structural and functional insights into alphavirus polyprotein processing and pathogenesis.Proceedings of the National Academy of Sciences of the United States of America · 2012Article
- Characterization of metalloproteins by high-throughput X-ray absorption spectroscopy.Genome research · 2011Article
- Metalloproteomics: forward and reverse approaches in metalloprotein structural and functional characterization.Current opinion in chemical biology · 2011Review
- HORIBALFRE program: Higher Order Residue Interactions Based ALgorithm for Fold REcognition.Bioinformation · 2011Article
- MODBASE, a database of annotated comparative protein structure models and associated resources.Nucleic acids research · 2009Article
- Modeling of protein binary complexes using structural mass spectrometry data.Protein science : a publication of the Protein Society · 2008Article
- Metals in the "omics" world: copper homeostasis and cytochrome c oxidase assembly in a new light.Journal of biological inorganic chemistry : JBIC : a publication of the Society of Biological Inorganic Chemistry · 2008Review
- Kappa-alpha plot derived structural alphabet and BLOSUM-like substitution matrix for rapid search of protein structure database.Genome biology · 2007Article
- Saturating representation of loop conformational fragments in structure databanks.BMC structural biology · 2006Article
- MODBASE: a database of annotated comparative protein structure models and associated resources.Nucleic acids research · 2006Article
- A supersecondary structure library and search algorithm for modeling loops in protein structures.Nucleic acids research · 2006Article
- The ybeY protein from Escherichia coli is a metalloprotein.Acta crystallographica. Section F, Structural biology and crystallization communications · 2005Article
- DIAL: a web-based server for the automatic identification of structural domains in proteins.Nucleic acids research · 2005Article
- PubNet: a flexible system for visualizing literature derived networks.Genome biology · 2005Article
- TM-align: a protein structure alignment algorithm based on the TM-score.Nucleic acids research · 2005Article
- Protein Crystallography from the Perspective of Technology Developments.Crystallography reviewsArticle
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Structural genomics has as its goal the provision of structural information for all possible ORF sequences through a combination of experimental and computational approaches. The access to genome sequences and cloning resources from an ever-widening array of organisms is driving high-throughput structural studies by the New York Structural Genomics Research Consortium. In this report, we outline the progress of the Consortium in establishing its pipeline for structural genomics, and some of the experimental and bioinformatics efforts leading to structural annotation of proteins. The Consortium has established a pipeline for structural biology studies, automated modeling of ORF sequences using solved (template) structures, and a novel high-throughput approach (metallomics) to examining the metal binding to purified protein targets. The Consortium has so far produced 493 purified proteins from >1077 expression vectors. A total of 95 have resulted in crystal structures, and 81 are deposited in the Protein Data Bank (PDB). Comparative modeling of these structures has generated >40,000 structural models. We also initiated a high-throughput metal analysis of the purified proteins; this has determined that 10%-15% of the targets contain a stoichiometric structural or catalytic transition metal atom. The progress of the structural genomics centers in the U.S. and around the world suggests that the goal of providing useful structural information on most all ORF domains will be realized. This projected resource will provide structural biology information important to understanding the function of most proteins of the cell.
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