Generated by GPT-5-mini| SHELX | |
|---|---|
| Name | SHELX |
| Developer | Sir Howard Flack |
| Released | 1970s |
| Programming language | Fortran |
| Operating system | UNIX, MS-DOS, Windows |
| Genre | Crystallography software |
SHELX is a suite of programs for crystal structure determination and refinement developed in the late 20th century. The package integrates model building, least-squares refinement, and electron density interpretation to process diffraction data from X-ray and neutron experiments. It has been used across laboratories, beamlines, and institutions for small-molecule and macromolecular crystallography, interfacing with instruments, databases, and visualization tools.
Development began in the 1970s by Sir Howard Flack and collaborators during a period of active method development at laboratories such as University of Oxford, Atomic Energy Research Establishment, and research groups affiliated with Royal Society projects. Early dissemination occurred through collaborations with beamlines at facilities like Diamond Light Source predecessors and national laboratories including Brookhaven National Laboratory and Lawrence Berkeley National Laboratory. The software evolved alongside milestones such as the advent of CCD detectors at European Synchrotron Radiation Facility and algorithmic advances at institutions like Max Planck Society and California Institute of Technology. Key releases paralleled developments in computing, from FORTRAN implementations on UNIX systems to ports targeting MS-DOS and Microsoft Windows, with distribution influenced by academic workshops, courses at University of Cambridge, and conferences such as the International Union of Crystallography congresses.
The suite comprises modules addressing phases of crystallographic workflows used in laboratories at Harvard University, Stanford University, and Massachusetts Institute of Technology. Components include structure solution programs widely adopted by groups at University of California, Berkeley and ETH Zurich, refinement engines utilized in projects at Max Planck Institute for Biochemistry and European Molecular Biology Laboratory, and utilities compatible with visualization packages from vendors like Schrodinger partners and open projects at Uppsala University. Integration points exist with instrument control systems developed by teams at Rigaku, Bruker, and user facilities such as Argonne National Laboratory. Community-developed wrappers and GUIs from consortia including Collaborative Computational Project projects and initiatives at California Institute of Technology facilitate workflows in pipelines used by researchers at Johns Hopkins University and Imperial College London.
The suite implements least-squares refinement and Fourier synthesis algorithms derived from mathematical foundations established in work associated with Alan Turing-era numerical analysis and later computational advances at Bell Labs and Los Alamos National Laboratory. Algorithms include reciprocal-space refinement used in studies at CERN collaborations and direct-methods seeds akin to approaches from University of Illinois Urbana-Champaign groups. Restraint and constraint schemes reflect principles developed in structural chemistry research at University of Oxford and University of Cambridge, while anomalous dispersion handling connects to experimental programs at Diamond Light Source and PETRA III. Optimization strategies mirror techniques applied in projects at SRI International and statistical treatments comparable to methods from National Institute of Standards and Technology.
Used broadly in fields represented at institutions such as Pfizer, GlaxoSmithKline, Novartis, and academic departments at Yale University and Princeton University, the programs support small-molecule crystallography for organic chemistry, coordination chemistry, and materials science. Applications extend to pharmaceutical crystallography in industry pipelines at Merck and to mineralogical studies linked to research at Smithsonian Institution and Natural History Museum, London. Structural studies in structural biology groups at European Molecular Biology Laboratory and Max Planck Institute for Developmental Biology have incorporated components for ligand placement and validation, interfacing with databases like Protein Data Bank and repositories managed by European Bioinformatics Institute. Educational use appears in courses at Massachusetts Institute of Technology, University of Cambridge, and workshops at International Centre for Diffraction Data.
Input and output conventions follow legacy conventions from computational projects at Los Alamos National Laboratory and CERN, using plain-text formats adopted across laboratories including Los Alamos National Laboratory-affiliated collaborations and university groups at University of Leeds. Syntax for commands and instruction cards resembles conventions taught in crystallography practicals at University of Manchester and summer schools organized by International Union of Crystallography. Data interchange with programs such as those from Bruker and Rigaku and with visualization tools from Schrodinger ecosystems relies on standardized coordinate and reflection file formats shared with archives like Protein Data Bank and crystallographic repositories at Cambridge Crystallographic Data Centre.
Distribution historically followed academic licensing models used by projects at European Molecular Biology Laboratory and Max Planck Society, with binaries and source disseminated via institutional channels similar to practices at Stanford University and University of California, San Diego. Licensing terms have been discussed in contexts akin to debates at Free Software Foundation and governance at Royal Society-sponsored initiatives. Users commonly obtain copies through contacts at crystallography departments at University of Oxford, University of Manchester, and through workshops affiliated with International Union of Crystallography.
The package has been cited in methodological literature produced by researchers at University of Cambridge, Harvard University, and University of California, Berkeley and remains influential in workflows used at industrial laboratories such as GlaxoSmithKline and Pfizer. Its longevity parallels other enduring scientific tools developed at Bell Labs and Los Alamos National Laboratory, and it features in training materials at organizations including European Synchrotron Radiation Facility and Diamond Light Source. The software's role in enabling published structures deposited at Protein Data Bank and data curated by Cambridge Crystallographic Data Centre underscores its sustained impact on structural science communities.
Category:Crystallography software