LLMpediaThe first transparent, open encyclopedia generated by LLMs

Cambridge Structural Database

Note: This article was automatically generated by a large language model (LLM) from purely parametric knowledge (no retrieval). It may contain inaccuracies or hallucinations. This encyclopedia is part of a research project currently under review.
Article Genealogy
Parent: CIF Hop 5 terminal

This article was accepted into the corpus but its outbound wikilinks were never NER-processed — typical at the deepest BFS hop or when the run's entity cap was reached. No expansion funnel to show.

Cambridge Structural Database
NameCambridge Structural Database
Formation1965
HeadquartersCambridge
Parent organizationCambridge Crystallographic Data Centre

Cambridge Structural Database is a scientific repository of small-molecule crystallographic data curated and distributed by the Cambridge Crystallographic Data Centre. The resource aggregates experimentally determined three-dimensional coordinates, metadata, and bibliographic records that underpin research in chemistry, materials science, pharmacology, and structural biology. It connects primary literature, laboratory groups, and industrial researchers by indexing crystal structures reported in journals, theses, and patent filings.

Overview

The database functions as a centralized archive enabling search and retrieval of unit cell parameters, atomic coordinates, bond distances, and crystallographic symmetry information. Users range from academic groups at University of Cambridge and Massachusetts Institute of Technology to industrial teams at Pfizer, Roche, Novartis, and GlaxoSmithKline. The resource interfaces with publishers such as Nature Publishing Group, Elsevier, Royal Society of Chemistry, American Chemical Society, and Wiley for data deposition and citation tracking. Collaborative ties extend to repositories and projects including Protein Data Bank, PubChem, CrossRef, ORCID, and InChI Trust to align identifiers and literature links.

History and development

Origins trace to crystallographers at Cambridge and institutions like University of Manchester and Imperial College London who sought to systematize small-molecule structures reported in journals such as Acta Crystallographica, Journal of the American Chemical Society, and Angewandte Chemie. Early contributors included research groups led by figures affiliated with Royal Institution, University of Oxford, University of Glasgow, and industrial laboratories at ICI and DuPont. Funding and governance involved bodies like Science Research Council and later partnerships with Wellcome Trust and European Research Council. Over decades, developments paralleled computational chemistry advances at centers such as Los Alamos National Laboratory, Lawrence Berkeley National Laboratory, and software innovation from companies like Schrödinger and Accelrys.

Contents and data model

The archive stores experimentally derived atomic coordinates, anisotropic displacement parameters, stereochemical descriptors, and crystallographic symmetry operations referenced to space groups like those catalogued by International Union of Crystallography and classification schemes used by International Tables for Crystallography. Records include cross-references to journal articles from publishers including Springer Nature, Taylor & Francis, and Cell Press and link to author identifiers such as ResearchGate profiles and Google Scholar entries. The schema aligns with community standards exemplified by the Crystallographic Information File format and integrates chemical identifiers from CAS Registry, PubChem, and ChEMBL to enable interoperability with cheminformatics resources like RDKit, Open Babel, and ChemAxon.

Access and distribution

Access models combine institutional subscriptions, individual licenses, and data deposition agreements with academic consortia including members from University of California and Max Planck Society. Distribution channels employ platforms used by vendors such as Elsevier ScienceDirect and data services like DataCite and CrossRef for DOI-based discovery. Industrial partners including BASF, Bayer, AstraZeneca, and Sanofi participate in licensing, while national libraries and consortia such as British Library and German National Library of Science and Technology facilitate archival access. Deposit pipelines coordinate with editorial offices at Elsevier and Wiley-Blackwell and link to grant reporting with funders like National Institutes of Health, UK Research and Innovation, and Horizon Europe.

Software and tools

A suite of software accompanies the dataset: graphical viewers and editors interoperable with packages from Microsoft Research, IBM Research, Schrödinger, OpenEye Scientific, and CCDC-developed applications. Tools support visualization compatible with viewers such as PyMOL, Jmol, Mercury, and integration with modeling frameworks like Gaussian, ORCA, VASP, and CASTEP. Programmatic access is facilitated by APIs and libraries used in pipelines at GlaxoSmithKline and academic groups at ETH Zurich and Stanford University, enabling workflows with Python toolchains, R Project for Statistical Computing, MATLAB, and high-performance computing centers such as National Energy Research Scientific Computing Center.

Applications and impact

Researchers apply the archive to crystal engineering studies at Max Planck Institute for Polymer Research, drug design projects at Merck Sharp & Dohme, and materials discovery initiatives at Argonne National Laboratory and Oak Ridge National Laboratory. The data underpins analyses in polymorphism research related to cases like Ritonavir formulation challenges, supramolecular chemistry studies at ETH Zurich, and structure–property correlations in organic electronics pursued by groups at University of Illinois Urbana-Champaign and University of California, Berkeley. Educational use spans courses at University of Manchester, University of Toronto, and National University of Singapore, and the resource is cited in award-winning work recognized by prizes such as the Royal Society of Chemistry Jacobus Henricus van 't Hoff Prize and fellowships from Royal Society and National Science Foundation.

Data quality and validation

Curation workflows implement validation routines informed by standards from International Union of Crystallography and best practices endorsed by editorial boards at Acta Crystallographica and Journal of Applied Crystallography. Quality assurance includes checks against systematic errors noted in historic debates among laboratories at Brookhaven National Laboratory and Bell Labs, cross-validation with neutron diffraction studies from Oak Ridge National Laboratory and synchrotron experiments at European Synchrotron Radiation Facility, and reconciliation of stereochemical assignments discussed in literature from American Crystallographic Association meetings. Continuous updates incorporate feedback from user communities at conferences like American Chemical Society National Meeting and International Congress of Crystallography.

Category:Crystallography