Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 264

The DOI matches its Crossref record.

Comparison of a QM/MM force field and molecular mechanics force fields in simulations of alanine and glycine “dipeptides” (Ace‐Ala‐Nme and Ace‐Gly‐Nme) in water in relation to the problem of modeling the unfolded peptide backbone in solution

Hu, Hao, Elstner, Marcus, Hermans, Jan·2003·Proteins: Structure, Function, and Bioinformatics

Abstract

We compare the conformational distributions of Ace‐Ala‐Nme and Ace‐Gly‐Nme sampled in long simulations with several molecular mechanics (MM) force fields and with a fast combined quantum mechanics/molecular mechanics (QM/MM) force field, in which the solute's intramolecular energy and forces are calculated with the self‐consistent charge density functional tight binding method (SCCDFTB), and the solvent is represented by either one of the well‐known SPC and TIP3P models. All MM force fields give two main states for Ace‐Ala‐Nme, β and α separated by free energy barriers, but the ratio in which these are sampled varies by a factor of 30, from a high in favor of β of 6 to a low of 1/5. The frequency of transitions between states is particularly low with the amber and charmm force fields, for which the distributions are noticeably narrower, and the energy barriers between states higher. The lower of the two barriers lies between α and β at values of ψ near 0 for all MM simulations except for charmm22. The results of the QM/MM simulations vary less with the choice of MM force field; the ratio β/α varies between 1.5 and 2.2, the easy pass lies at ψ near 0, and transitions between states are more frequent than for amber and charmm, but less frequent than for cedar. For Ace‐Gly‐Nme, all force fields locate a diffuse stable region around ϕ = π and ψ = π, whereas the amber force field gives two additional densely sampled states near ϕ = ±100° and ψ = 0, which are also found with the QM/MM force field. For both solutes, the distribution from the QM/MM simulation shows greater similarity with the distribution in high‐resolution protein structures than is the case for any of the MM simulations. Proteins 2003;50:451–463. © 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.10279

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 264

Metadata

Authors
Hu, H., Elstner, M., & Hermans, J.
Venue
Proteins: Structure, Function, and Bioinformatics
Publisher
Wiley
Published
2003-01-10
Volume
50
Issue
3
Pages
451-463
ISSN
  • 0887-3585 (ISSN-L)
  • 1097-0134
OpenAlex
W2129071110
Cited by
264
References
0
FWCI
9.44
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: Comparison of a QM/MM force field and molecular mechanics force fields in simulations of alanine and glycine “dipeptides” (Ace‐Ala‐Nme and Ace‐Gly‐Nme) in water in relation to the problem of modeling the unfolded peptide backbone in solution. https://app.cochat.ai/papers/10.1002/prot.10279
The paper
Hu, H., Elstner, M., & Hermans, J. (2003). Comparison of a QM/MM force field and molecular mechanics force fields in simulations of alanine and glycine “dipeptides” (Ace‐Ala‐Nme and Ace‐Gly‐Nme) in water in relation to the problem of modeling the unfolded peptide backbone in solution. Proteins: Structure, Function, and Bioinformatics. https://doi.org/10.1002/prot.10279

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.