This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. One of the outstanding challenges in biology is the quantitative description of macromolecular complexes and their roles in biological processes. Electron cryomicroscopy (cryo-EM) is capable of imaging these large assemblies in discrete physiological states. Until recently, cryo-EM was unable to achieve the resolution needed to build structural models directly from the density map without an initial template. Recently, several cryo-EM structures have reported near-atomic resolutions (5-3.3 ?), at which point the pitch of ?- helices, separation of ?-strands, as well as the densities that connect them, could be visualized unambiguously. De novo models built for these near-atomic resolution density maps relied almost entirely on visual interpretation of the density and manual structural assignment. Due to the complexity of building de novo models, we created Gorgon, an interactive molecular modeling toolkit targeted towards near-atomic resolution density maps (http://gorgon.wustl.edu). Gorgon is built around our de novo modeling protocols, which utilize pattern matching and geometry processing algorithms to quickly and accurately model protein structure. Gorgon also incorporates several unique utilities for modeling and mining information at subnanometer resolutions including secondary structure element (SSE) identification and rigid body fitting. With Gorgon, our ultimate goal is to provide users with a comprehensive, user-friendly interface for modeling the structure of macromolecular at non- atomic resolutions.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR002250-26
Application #
8361084
Study Section
Special Emphasis Panel (ZRG1-BCMB-T (41))
Project Start
2011-01-01
Project End
2011-12-31
Budget Start
2011-01-01
Budget End
2011-12-31
Support Year
26
Fiscal Year
2011
Total Cost
$49,049
Indirect Cost
Name
Baylor College of Medicine
Department
Physiology
Type
Schools of Medicine
DUNS #
051113330
City
Houston
State
TX
Country
United States
Zip Code
77030
Bucero, Marta Abril; Bajaj, Chandrajit; Mourrain, Bernard (2016) On the construction of general cubature formula by flat extensions. Linear Algebra Appl 502:104-125
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