Chimera is our next generation molecular graphics application whose main design goals are extensibility and ease of use. Chimera is being written in C++ and uses commonly accepted specifications such as X Windows, MOTIF and OpenInventor. In addition, Chimera also use the locally developed Object Technology Framework. Because extensibility is a major design goal, we chose to use a complete programming language, Python, as the Chimera command language. Python is an interpreted language with an extensive library that includes an interface to MOTIF. The first Chimera prototype was implemented with a small set of core functionality, including graphical display, PDB input, and basic user interface elements (menu bars, tool bar, command line, reply window and status line). More advanced features were constructed on top of the core using Python extension modules. For example, a Kinemage viewer was added, where the graphics are displayed in the main Chimera window and the textual data are displayed in a separate panel; a tool box containing icons representing Python scripts was written, all in Python; and, finally, simple script for coloring atoms and changing graphical representations were added to the tool bar, again written in Python. The first Chimera prototype was demonstrated to our advisory committee, at our departmental retreat and at the Pacific Symposium on Biocomputing and is expected to be completed in 1996.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR001081-19
Application #
5222399
Study Section
Project Start
Project End
Budget Start
Budget End
Support Year
19
Fiscal Year
1996
Total Cost
Indirect Cost
Kozak, John J; Gray, Harry B; Garza-López, Roberto A (2018) Relaxation of structural constraints during Amicyanin unfolding. J Inorg Biochem 179:135-145
Alamo, Lorenzo; Pinto, Antonio; Sulbarán, Guidenn et al. (2018) Lessons from a tarantula: new insights into myosin interacting-heads motif evolution and its implications on disease. Biophys Rev 10:1465-1477
Viswanath, Shruthi; Chemmama, Ilan E; Cimermancic, Peter et al. (2017) Assessing Exhaustiveness of Stochastic Sampling for Integrative Modeling of Macromolecular Structures. Biophys J 113:2344-2353
Chu, Shidong; Zhou, Guangyan; Gochin, Miriam (2017) Evaluation of ligand-based NMR screening methods to characterize small molecule binding to HIV-1 glycoprotein-41. Org Biomol Chem 15:5210-5219
Portioli, Corinne; Bovi, Michele; Benati, Donatella et al. (2017) Novel functionalization strategies of polymeric nanoparticles as carriers for brain medications. J Biomed Mater Res A 105:847-858
Alamo, Lorenzo; Koubassova, Natalia; Pinto, Antonio et al. (2017) Lessons from a tarantula: new insights into muscle thick filament and myosin interacting-heads motif structure and function. Biophys Rev 9:461-480
Nguyen, Hai Dang; Yadav, Tribhuwan; Giri, Sumanprava et al. (2017) Functions of Replication Protein A as a Sensor of R Loops and a Regulator of RNaseH1. Mol Cell 65:832-847.e4
Sofiyev, Vladimir; Kaur, Hardeep; Snyder, Beth A et al. (2017) Enhanced potency of bivalent small molecule gp41 inhibitors. Bioorg Med Chem 25:408-420
Nekouzadeh, Ali; Rudy, Yoram (2016) Conformational changes of an ion-channel during gating and emerging electrophysiologic properties: Application of a computational approach to cardiac Kv7.1. Prog Biophys Mol Biol 120:18-27
Towse, Clare-Louise; Vymetal, Jiri; Vondrasek, Jiri et al. (2016) Insights into Unfolded Proteins from the Intrinsic ?/? Propensities of the AAXAA Host-Guest Series. Biophys J 110:348-361

Showing the most recent 10 out of 508 publications