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Dive into the research topics where Eric F. Pettersen is active.

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Featured researches published by Eric F. Pettersen.


Journal of Computational Chemistry | 2004

UCSF CHIMERA-A VISUALIZATION SYSTEM FOR EXPLORATORY RESEARCH AND ANALYSIS

Eric F. Pettersen; Thomas D. Goddard; Conrad C. Huang; Gregory S. Couch; Daniel M. Greenblatt; Elaine C. Meng; Thomas E. Ferrin

The design, implementation, and capabilities of an extensible visualization system, UCSF Chimera, are discussed. Chimera is segmented into a core that provides basic services and visualization, and extensions that provide most higher level functionality. This architecture ensures that the extension mechanism satisfies the demands of outside developers who wish to incorporate new features. Two unusual extensions are presented: Multiscale, which adds the ability to visualize large‐scale molecular assemblies such as viral coats, and Collaboratory, which allows researchers to share a Chimera session interactively despite being at separate locales. Other extensions include Multalign Viewer, for showing multiple sequence alignments and associated structures; ViewDock, for screening docked ligand orientations; Movie, for replaying molecular dynamics trajectories; and Volume Viewer, for display and analysis of volumetric data. A discussion of the usage of Chimera in real‐world situations is given, along with anticipated future directions. Chimera includes full user documentation, is free to academic and nonprofit users, and is available for Microsoft Windows, Linux, Apple Mac OS X, SGI IRIX, and HP Tru64 Unix from http://www.cgl.ucsf.edu/chimera/.


RNA | 2009

DOCK 6: Combining techniques to model RNA–small molecule complexes

P. Therese Lang; Scott R. Brozell; Sudipto Mukherjee; Eric F. Pettersen; Elaine C. Meng; Veena Thomas; Robert C. Rizzo; David A. Case; Thomas L. James; Irwin D. Kuntz

With an increasing interest in RNA therapeutics and for targeting RNA to treat disease, there is a need for the tools used in protein-based drug design, particularly DOCKing algorithms, to be extended or adapted for nucleic acids. Here, we have compiled a test set of RNA-ligand complexes to validate the ability of the DOCK suite of programs to successfully recreate experimentally determined binding poses. With the optimized parameters and a minimal scoring function, 70% of the test set with less than seven rotatable ligand bonds and 26% of the test set with less than 13 rotatable bonds can be successfully recreated within 2 A heavy-atom RMSD. When DOCKed conformations are rescored with the implicit solvent models AMBER generalized Born with solvent-accessible surface area (GB/SA) and Poisson-Boltzmann with solvent-accessible surface area (PB/SA) in combination with explicit water molecules and sodium counterions, the success rate increases to 80% with PB/SA for less than seven rotatable bonds and 58% with AMBER GB/SA and 47% with PB/SA for less than 13 rotatable bonds. These results indicate that DOCK can indeed be useful for structure-based drug design aimed at RNA. Our studies also suggest that RNA-directed ligands often differ from typical protein-ligand complexes in their electrostatic properties, but these differences can be accommodated through the choice of potential function. In addition, in the course of the study, we explore a variety of newly added DOCK functions, demonstrating the ease with which new functions can be added to address new scientific questions.


BMC Bioinformatics | 2006

Tools for integrated sequence-structure analysis with UCSF Chimera

Elaine C. Meng; Eric F. Pettersen; Gregory S. Couch; Conrad C. Huang; Thomas E. Ferrin

BackgroundComparing related structures and viewing the structures in the context of sequence alignments are important tasks in protein structure-function research. While many programs exist for individual aspects of such work, there is a need for interactive visualization tools that: (a) provide a deep integration of sequence and structure, far beyond mapping where a sequence region falls in the structure and vice versa; (b) facilitate changing data of one type based on the other (for example, using only sequence-conserved residues to match structures, or adjusting a sequence alignment based on spatial fit); (c) can be used with a researchers own data, including arbitrary sequence alignments and annotations, closely or distantly related sets of proteins, etc.; and (d) interoperate with each other and with a full complement of molecular graphics features. We describe enhancements to UCSF Chimera to achieve these goals.ResultsThe molecular graphics program UCSF Chimera includes a suite of tools for interactive analyses of sequences and structures. Structures automatically associate with sequences in imported alignments, allowing many kinds of crosstalk. A novel method is provided to superimpose structures in the absence of a pre-existing sequence alignment. The method uses both sequence and secondary structure, and can match even structures with very low sequence identity. Another tool constructs structure-based sequence alignments from superpositions of two or more proteins. Chimera is designed to be extensible, and mechanisms for incorporating user-specific data without Chimera code development are also provided.ConclusionThe tools described here apply to many problems involving comparison and analysis of protein structures and their sequences. Chimera includes complete documentation and is intended for use by a wide range of scientists, not just those in the computational disciplines. UCSF Chimera is free for non-commercial use and is available for Microsoft Windows, Apple Mac OS X, Linux, and other platforms from http://www.cgl.ucsf.edu/chimera.


Journal of Structural Biology | 2012

UCSF Chimera, MODELLER, and IMP: an integrated modeling system.

Zheng Yang; Keren Lasker; Dina Schneidman-Duhovny; Ben Webb; Conrad C. Huang; Eric F. Pettersen; Thomas D. Goddard; Elaine C. Meng; Andrej Sali; Thomas E. Ferrin

Structural modeling of macromolecular complexes greatly benefits from interactive visualization capabilities. Here we present the integration of several modeling tools into UCSF Chimera. These include comparative modeling by MODELLER, simultaneous fitting of multiple components into electron microscopy density maps by IMP MultiFit, computing of small-angle X-ray scattering profiles and fitting of the corresponding experimental profile by IMP FoXS, and assessment of amino acid sidechain conformations based on rotamer probabilities and local interactions by Chimera.


Journal of Molecular Graphics | 1991

Conic: A fast renderer for spacefilling molecules with shadows

Conrad C. Huang; Eric F. Pettersen; Teri E. Klein; Thomas E. Ferrin; Robert Langridge

We present an algorithm for generating images of molecules represented as a set of intersecting opaque spheres. Both perspective and shadows are computed to provide realistic visual cues. Compared to existing programs for generating similar images, our algorithm is both more accurate and several times faster. We present in detail the mathematics used in picture generation, along with examples of the computed images.


Protein Science | 2018

UCSF ChimeraX: Meeting modern challenges in visualization and analysis

Thomas D. Goddard; Conrad C. Huang; Elaine C. Meng; Eric F. Pettersen; Gregory S. Couch; John H. Morris; Thomas E. Ferrin

UCSF ChimeraX is next‐generation software for the visualization and analysis of molecular structures, density maps, 3D microscopy, and associated data. It addresses challenges in the size, scope, and disparate types of data attendant with cutting‐edge experimental methods, while providing advanced options for high‐quality rendering (interactive ambient occlusion, reliable molecular surface calculations, etc.) and professional approaches to software design and distribution. This article highlights some specific advances in the areas of visualization and usability, performance, and extensibility. ChimeraX is free for noncommercial use and is available from http://www.rbvi.ucsf.edu/chimerax/ for Windows, Mac, and Linux.


Nucleic Acids Research | 2014

Enhancing UCSF Chimera through web services.

Conrad C. Huang; Elaine C. Meng; John H. Morris; Eric F. Pettersen; Thomas E. Ferrin

Integrating access to web services with desktop applications allows for an expanded set of application features, including performing computationally intensive tasks and convenient searches of databases. We describe how we have enhanced UCSF Chimera (http://www.rbvi.ucsf.edu/chimera/), a program for the interactive visualization and analysis of molecular structures and related data, through the addition of several web services (http://www.rbvi.ucsf.edu/chimera/docs/webservices.html). By streamlining access to web services, including the entire job submission, monitoring and retrieval process, Chimera makes it simpler for users to focus on their science projects rather than data manipulation. Chimera uses Opal, a toolkit for wrapping scientific applications as web services, to provide scalable and transparent access to several popular software packages. We illustrate Chimeras use of web services with an example workflow that interleaves use of these services with interactive manipulation of molecular sequences and structures, and we provide an example Python program to demonstrate how easily Opal-based web services can be accessed from within an application. Web server availability: http://webservices.rbvi.ucsf.edu/opal2/dashboard?command=serviceList.


Journal of Molecular Graphics | 1990

A real-time malleable molecular surface

Teri E. Klein; Conrad C. Huang; Eric F. Pettersen; Gregory S. Couch; Thomas E. Ferrin; Robert Langridge

We describe a method for generating a molecular surface using a parametric patch representation. Unlike previous methods, this algorithm generates a parametric patch surface which is smooth and G continuous and manipulable in real-time. Crucial to our approach is the creation of a net of approximately equilateral triangles from which we generate the control points used as the basis for describing the surface. We present in detail the method used for generating the triangular net and accompanying control points, along with examples of the resulting surfaces.


Journal of Molecular Graphics | 1995

Annotating PDB files with scene information

Gregory S. Couch; Eric F. Pettersen; Conrad C. Huang; Thomas E. Ferrin

We have implemented extensions to the Brookhaven Protein Data Bank (PDB) file format for incorporating scene information such as viewing parameters, additional molecular information (e.g., van der Waals radii and atom colors), and user-defined graphics. These extensions were made in conformance with the PDB standard and provide sufficient information to render the scene in various styles such as space-filling images and ribbon diagrams. For the past 5 years these extensions have been used in the MidasPlus molecular modeling system and have proved both powerful and sufficient for generating complex molecular images. We propose that the extensions to the PDB presented here be adopted by the molecular modeling community for incorporation into visualization programs.


Journal of Computer-aided Molecular Design | 2006

Development and validation of a modular, extensible docking program: DOCK 5

Demetri T. Moustakas; P. Therese Lang; Scott C.-H. Pegg; Eric F. Pettersen; Irwin D. Kuntz; Natasja Brooijmans; Robert C. Rizzo

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Elaine C. Meng

University of California

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Irwin D. Kuntz

University of California

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John H. Morris

University of California

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