Genomics Initiatives (genomics + initiative)

Distribution by Scientific Domains

Kinds of Genomics Initiatives

  • structural genomics initiative


  • Selected Abstracts


    EUDOC: a computer program for identification of drug interaction sites in macromolecules and drug leads from chemical databases

    JOURNAL OF COMPUTATIONAL CHEMISTRY, Issue 15 2001
    Yuan-Ping Pang
    Abstract The completion of the Human Genome Project, the growing effort on proteomics, and the Structural Genomics Initiative have recently intensified the attention being paid to reliable computer docking programs able to identify molecules that can affect the function of a macromolecule through molecular complexation. We report herein an automated computer docking program, EUDOC, for prediction of ligand,receptor complexes from 3D receptor structures, including metalloproteins, and for identification of a subset enriched in drug leads from chemical databases. This program was evaluated from the standpoints of force field and sampling issues using 154 experimentally determined ligand,receptor complexes and four "real-life" applications of the EUDOC program. The results provide evidence for the reliability and accuracy of the EUDOC program. In addition, key principles underlying molecular recognition, and the effects of structural water molecules in the active site and different atomic charge models on docking results are discussed. 2001 John Wiley & Sons, Inc. J Comput Chem 22: 1750,1771, 2001 [source]


    A structural genomics initiative on yeast proteins

    JOURNAL OF SYNCHROTRON RADIATION, Issue 1 2003
    Sophie Quevillon-Cheruel
    A canonical structural genomics programme is being conducted at the Paris-Sud campus area on baker's yeast proteins. Experimental strategies, first results and identified bottlenecks are presented. The actual or potential contributions to the structural genomics of several experimental structure-determination methods are discussed. [source]


    Quality of protein crystal structures

    ACTA CRYSTALLOGRAPHICA SECTION D, Issue 9 2007
    Eric N. Brown
    The genomics era has seen the propagation of numerous databases containing easily accessible data that are routinely used by investigators to interpret results and generate new ideas. Most investigators consider data extracted from scientific databases to be error-free. However, data generated by all experimental techniques contain errors and some, including the coordinates in the Protein Data Bank (PDB), also integrate the subjective interpretations of experimentalists. This paper explores the determinants of protein structure quality metrics used routinely by protein crystallographers. These metrics are available for most structures in the database, including the R factor, Rfree, real-space correlation coefficient, Ramachandran violations etc. All structures in the PDB were analyzed for their overall quality based on nine different quality metrics. Multivariate statistical analysis revealed that while technological improvements have increased the number of structures determined, the overall quality of structures has remained constant. The quality of structures deposited by structural genomics initiatives are generally better than the quality of structures from individual investigator laboratories. The most striking result is the association between structure quality and the journal in which the structure was first published. The worst offenders are the apparently high-impact general science journals. The rush to publish high-impact work in the competitive atmosphere may have led to the proliferation of poor-quality structures. [source]


    Current state and prospects of macromolecular crystallography

    ACTA CRYSTALLOGRAPHICA SECTION D, Issue 1 2006
    Zbigniew Dauter
    The current situation and possible future development of macromolecular crystallography are reviewed. The rapid progress and maturation of this field in recent years have to a large extent been made possible by the inspiration and generous support of several active structural genomics initiatives. Two tendencies can be currently observed: one which treats protein crystallography as a highly automatic tool for investigating various biological problems without the need to engage in the intricacies of the technique and a second approach where this method is applied to crystals of difficult, large and complex biological systems, requiring a deeper knowledge of various aspects of crystallography. In the near future it is expected that these two trends will coexist, developing in a parallel fashion. [source]