Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 289

The DOI matches its Crossref record.

The Computational Crystallography Toolbox: crystallographic algorithms in a reusable software framework

Grosse-Kunstleve, Ralf W., Sauter, Nicholas K., Moriarty, Nigel W., Adams, Paul D.·2002·Journal of Applied Crystallography

Abstract

The advent of structural genomics initiatives has led to a pressing need for high-throughput macromolecular structure determination. To accomplish this, new methods and inevitably new software must be developed to accelerate the process of structure solution. To minimize duplication of effort and to generate maintainable code efficiently, a toolbox of basic crystallographic software components is required. The development of the Computational Crystallography Toolbox(cctbx) has been undertaken for this purpose. In this paper, the fundamental requirements for the cctbx are outlined and the decisions that have lead to its implementation are explained. The cctbx currently contains algorithms for the handling of unit cells, space groups and atomic scatterers, and is released under an Open Source license to allow unrestricted use and continued development. It will be developed further to become a comprehensive library of crystallographic tools useful to the entire community of software developers.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1107/s0021889801017824

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 289

Metadata

Authors
Grosse-Kunstleve, R. W., Sauter, N. K., Moriarty, N. W., & Adams, P. D.
Venue
Journal of Applied Crystallography
Published
2002-01-22
Volume
35
Issue
1
Pages
126-136
ISSN
0021-8898 (ISSN-L)
OpenAlex
W2116389515
Cited by
289
References
0
FWCI
3.98
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: The Computational Crystallography Toolbox: crystallographic algorithms in a reusable software framework. https://app.cochat.ai/papers/10.1107/s0021889801017824
The paper
Grosse-Kunstleve, R. W., Sauter, N. K., Moriarty, N. W., & Adams, P. D. (2002). The Computational Crystallography Toolbox: crystallographic algorithms in a reusable software framework. Journal of Applied Crystallography. https://doi.org/10.1107/s0021889801017824

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.