Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 4,804

The DOI matches its Crossref record.

PRODRG: a tool for high-throughput crystallography of protein–ligand complexes

Open access
Schüttelkopf, Alexander W., van Aalten, Daan M. F.·2004·Acta Crystallographica Section D Biological Crystallography

Abstract

The small-molecule topology generator PRODRG is described, which takes input from existing coordinates or various two-dimensional formats and automatically generates coordinates and molecular topologies suitable for X-ray refinement of protein-ligand complexes. Test results are described for automatic generation of topologies followed by energy minimization for a subset of compounds from the Cambridge Structural Database, which shows that, within the limits of the empirical GROMOS87 force field used, structures with good geometries are generated. X-ray refinement in X-PLOR/CNS, REFMAC and SHELX using PRODRG-generated topologies produces results comparable to refinement with topologies from the standard libraries. However, tests with distorted starting coordinates show that PRODRG topologies perform better, both in terms of ligand geometry and of crystallographic R factors.

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/s0907444904011679

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 4,804

Metadata

Authors
Schüttelkopf, A. W., & van Aalten, D. M. F.
Venue
Acta Crystallographica Section D Biological Crystallography
Published
2004-07-21
Volume
60
Issue
8
Pages
1355-1363
ISSN
0907-4449 (ISSN-L)
OpenAlex
W2114367386
Cited by
4,804
References
0
FWCI
49.99
Type
journal article
Language
en
Open access
hybrid

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: PRODRG: a tool for high-throughput crystallography of protein–ligand complexes. https://app.cochat.ai/papers/10.1107/s0907444904011679
The paper
Schüttelkopf, A. W., & van Aalten, D. M. F. (2004). PRODRG: a tool for high-throughput crystallography of protein–ligand complexes. Acta Crystallographica Section D Biological Crystallography. https://doi.org/10.1107/s0907444904011679

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.