Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 298

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

A novel shape complementarity scoring function for protein‐protein docking

Chen, Rong, Weng, Zhiping·2003·Proteins: Structure, Function, and Bioinformatics

Abstract

Shape complementarity is the most basic ingredient of the scoring functions for protein‐protein docking. Most grid‐based docking algorithms use the total number of grid points at the binding interface to quantify shape complementarity. We have developed a novel Pairwise Shape Complementarity (PSC) function that is conceptually simple and rapid to compute. The favorable component of PSC is the total number of atom pairs between the receptor and the ligand within a distance cutoff. When applied to a benchmark of 49 test cases, PSC consistently ranks near‐native structures higher and produces more near‐native structures than the traditional grid‐based function, and the improvement was seen across all prediction levels and in all categories of the benchmark. Without any post‐processing or biological information about the binding site except the complementarity‐determining region of antibodies, PSC predicts the complex structure correctly for 6 test cases, and ranks at least one near‐native structure in the top 20 predictions for 18 test cases. Our docking program ZDOCK has been parallelized and the average computing time is 4 minutes using sixteen IBM SP3 processors. Both ZDOCK and the benchmark are freely available to academic users (http://zlab.bu.edu/∼rong/dock). Proteins 2003;51:397–408. © 2003 Wiley‐Liss, Inc.

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 · 10.1002/prot.10334

Cites

4 of 4 references verified0 citation errors · 0 not checkable

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

Cites

Show all 4 references

Cited by

See all 298

Metadata

Authors
Chen, R., & Weng, Z.
Venue
Proteins: Structure, Function, and Bioinformatics
Publisher
Wiley
Published
2003-04-08
Volume
51
Issue
3
Pages
397-408
ISSN
  • 0887-3585 (ISSN-L)
  • 1097-0134
OpenAlex
W2118514515
Cited by
298
References
4
FWCI
4.07
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: A novel shape complementarity scoring function for protein‐protein docking. https://app.cochat.ai/papers/10.1002/prot.10334
The paper
Chen, R., & Weng, Z. (2003). A novel shape complementarity scoring function for protein‐protein docking. Proteins: Structure, Function, and Bioinformatics. https://doi.org/10.1002/prot.10334

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.