Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Ralf W. Grosse-Kunstleve is active.

Publication


Featured researches published by Ralf W. Grosse-Kunstleve.


Acta Crystallographica Section D-biological Crystallography | 2010

PHENIX: a comprehensive Python-based system for macromolecular structure solution

Paul D. Adams; Pavel V. Afonine; Gábor Bunkóczi; Vincent B. Chen; Ian W. Davis; Nathaniel Echols; Jeffrey J. Headd; Li-Wei Hung; Gary J. Kapral; Ralf W. Grosse-Kunstleve; Airlie J. McCoy; Nigel W. Moriarty; Robert D. Oeffner; Randy J. Read; David C. Richardson; Jane S. Richardson; Thomas C. Terwilliger; Peter H. Zwart

The PHENIX software for macromolecular structure determination is described.


Journal of Applied Crystallography | 2007

Phaser crystallographic software

Airlie J. McCoy; Ralf W. Grosse-Kunstleve; Paul D. Adams; Martyn Winn; Laurent C. Storoni; Randy J. Read

A description is given of Phaser-2.1: software for phasing macromolecular crystal structures by molecular replacement and single-wavelength anomalous dispersion phasing.


Acta Crystallographica Section D-biological Crystallography | 2002

PHENIX: building new software for automated crystallographic structure determination

Paul D. Adams; Ralf W. Grosse-Kunstleve; Li-Wei Hung; Thomas R. Ioerger; Airlie J. McCoy; Nigel W. Moriarty; Randy J. Read; James C. Sacchettini; Nicholas K. Sauter; Thomas C. Terwilliger

Structural genomics seeks to expand rapidly the number of protein structures in order to extract the maximum amount of information from genomic sequence databases. The advent of several large-scale projects worldwide leads to many new challenges in the field of crystallographic macromolecular structure determination. A novel software package called PHENIX (Python-based Hierarchical ENvironment for Integrated Xtallography) is therefore being developed. This new software will provide the necessary algorithms to proceed from reduced intensity data to a refined molecular model and to facilitate structure solution for both the novice and expert crystallographer.


Acta Crystallographica Section D-biological Crystallography | 2012

Towards automated crystallographic structure refinement with phenix.refine.

Pavel V. Afonine; Ralf W. Grosse-Kunstleve; Nathaniel Echols; Jeffrey J. Headd; Nigel W. Moriarty; Marat Mustyakimov; Thomas C. Terwilliger; Alexandre Urzhumtsev; Peter H. Zwart; Paul D. Adams

phenix.refine is a program within the PHENIX package that supports crystallographic structure refinement against experimental data with a wide range of upper resolution limits using a large repertoire of model parameterizations. This paper presents an overview of the major phenix.refine features, with extensive literature references for readers interested in more detailed discussions of the methods.


Acta Crystallographica Section D-biological Crystallography | 2005

Likelihood-enhanced fast translation functions

Airlie J. McCoy; Ralf W. Grosse-Kunstleve; Laurent C. Storoni; Randy J. Read

This paper is a companion to a recent paper on fast rotation functions [Storoni et al. (2004), Acta Cryst. D60, 432-438], which showed how a Taylor-series expansion of the maximum-likelihood rotation function leads to improved likelihood-enhanced fast rotation functions. In a similar manner, it is shown here how linear and quadratic Taylor-series expansions and least-squares approximations of the maximum-likelihood translation function lead to likelihood-enhanced translation functions, which can be calculated by FFT and which are more sensitive to the correct translation than the traditional correlation-coefficient fast translation function. These likelihood-enhanced translation targets for molecular-replacement searches have been implemented in the program Phaser using the Computational Crystallography Toolbox (cctbx).


Acta Crystallographica Section D-biological Crystallography | 2008

Iterative model building, structure refinement and density modification with the PHENIX AutoBuild wizard

Thomas C. Terwilliger; Ralf W. Grosse-Kunstleve; Pavel V. Afonine; Nigel W. Moriarty; Peter H. Zwart; Li-Wei Hung; Randy J. Read; Paul D. Adams

The highly automated PHENIX AutoBuild wizard is described. The procedure can be applied equally well to phases derived from isomorphous/anomalous and molecular-replacement methods.


Acta Crystallographica Section D-biological Crystallography | 2009

Decision-making in structure solution using Bayesian estimates of map quality: the PHENIX AutoSol wizard

Thomas C. Terwilliger; Paul D. Adams; Randy J. Read; Airlie J. McCoy; Nigel W. Moriarty; Ralf W. Grosse-Kunstleve; Pavel V. Afonine; Peter H. Zwart; Li-Wei Hung

Ten measures of experimental electron-density-map quality are examined and the skewness of electron density is found to be the best indicator of actual map quality. A Bayesian approach to estimating map quality is developed and used in the PHENIX AutoSol wizard to make decisions during automated structure solution.


Methods of Molecular Biology | 2008

Automated Structure Solution with the PHENIX Suite

Peter H. Zwart; Pavel V. Afonine; Ralf W. Grosse-Kunstleve; Li-Wei Hung; Thomas R. Ioerger; Airlie J. McCoy; Erik McKee; Nigel W. Moriarty; Randy J. Read; James C. Sacchettini; Nicholas K. Sauter; Laurent C. Storoni; Thomas C. Terwilliger; Paul D. Adams

Significant time and effort are often required to solve and complete a macromolecular crystal structure. The development of automated computational methods for the analysis, solution, and completion of crystallographic structures has the potential to produce minimally biased models in a short time without the need for manual intervention. The PHENIX software suite is a highly automated system for macromolecular structure determination that can rapidly arrive at an initial partial model of a structure without significant human intervention, given moderate resolution, and good quality data. This achievement has been made possible by the development of new algorithms for structure determination, maximum-likelihood molecular replacement (PHASER), heavy-atom search (HySS), template- and pattern-based automated model-building (RESOLVE, TEXTAL), automated macromolecular refinement (phenix. refine), and iterative model-building, density modification and refinement that can operate at moderate resolution (RESOLVE, AutoBuild). These algorithms are based on a highly integrated and comprehensive set of crystallographic libraries that have been built and made available to the community. The algorithms are tightly linked and made easily accessible to users through the PHENIX Wizards and the PHENIX GUI.


Acta Crystallographica Section D-biological Crystallography | 2009

electronic Ligand Builder and Optimization Workbench (eLBOW): a tool for ligand coordinate and restraint generation

Nigel W. Moriarty; Ralf W. Grosse-Kunstleve; Paul D. Adams

The electronic Ligand Builder and Optimization Workbench (eLBOW) is a program module of the PHENIX suite of computational crystallographic software. It is designed to be a flexible procedure that uses simple and fast quantum-chemical techniques to provide chemically accurate information for novel and known ligands alike. A variety of input formats and options allow the attainment of a number of diverse goals including geometry optimization and generation of restraints.


Journal of Synchrotron Radiation | 2004

Recent developments in the PHENIX software for automated crystallographic structure determination

Paul D. Adams; Kreshna Gopal; Ralf W. Grosse-Kunstleve; Li-Wei Hung; Thomas R. Ioerger; Airlie J. McCoy; Nigel W. Moriarty; Reetal Pai; Randy J. Read; Tod D. Romo; James C. Sacchettini; Nicholas K. Sauter; Laurent C. Storoni; Thomas C. Terwilliger

A new software system called PHENIX (Python-based Hierarchical ENvironment for Integrated Xtallography) is being developed for the automation of crystallographic structure solution. This will provide the necessary algorithms to proceed from reduced intensity data to a refined molecular model, and facilitate structure solution for both the novice and expert crystallographer. Here, the features of PHENIXare reviewed and the recent advances in infrastructure and algorithms are briefly described.

Collaboration


Dive into the Ralf W. Grosse-Kunstleve's collaboration.

Top Co-Authors

Avatar

Paul D. Adams

University of California

View shared research outputs
Top Co-Authors

Avatar

Pavel V. Afonine

Lawrence Berkeley National Laboratory

View shared research outputs
Top Co-Authors

Avatar

Nigel W. Moriarty

Lawrence Berkeley National Laboratory

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Thomas C. Terwilliger

Los Alamos National Laboratory

View shared research outputs
Top Co-Authors

Avatar

Nicholas K. Sauter

Lawrence Berkeley National Laboratory

View shared research outputs
Top Co-Authors

Avatar

Nathaniel Echols

Lawrence Berkeley National Laboratory

View shared research outputs
Top Co-Authors

Avatar

Peter H. Zwart

Lawrence Berkeley National Laboratory

View shared research outputs
Top Co-Authors

Avatar

Li-Wei Hung

Los Alamos National Laboratory

View shared research outputs
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge