Evidence for the Progressive Improvement of All-Atom Force Fields in Reproducing Local Conformational Preferences of Flexible Peptides

preprint OA: closed
Full text JSON View at publisher

Abstract

Abstract Classical protein force fields are widely used to probe the conformational properties of intrinsically disordered regions, yet their accuracy in reproducing local structural preferences remains uneven. We evaluated seven Amber and CHARMM force fields across three generations using molecular dynamics simulations of glycine–X–glycine tripeptides, with guest residues that span diverse physicochemical properties. Conformational ensembles were compared against distributions of conformations extracted from the crystallographic structures in the Protein Data Bank, and a statistical model derived from NMR observables. Analysis of secondary structure populations and Ramachandran distributions analyzed via Wasserstein distances reveals a clear historical progression. Early models display strong helical bias, intermediate ones approach Protein Data Bank trends, and recent versions shift toward solution-like ensembles dominated by polyproline II structure. None of the force fields fully captures the experimental distributions, although recent models show marked improvement over earlier generations. The remaining discrepancies point to specific aspects of local structure that still require tuning, while the overall progress underscores a steady trajectory toward more reliable descriptions of disordered peptides.
Full text 1,407 characters · extracted from oa-doi-fallback · click to expand
Abstract Classical protein force fields are widely used to probe the conformational properties of intrinsically disordered regions, yet their accuracy in reproducing local structural preferences remains uneven. We evaluated seven Amber and CHARMM force fields across three generations using molecular dynamics simulations of glycine–X–glycine tripeptides, with guest residues that span diverse physicochemical properties. Conformational ensembles were compared against distributions of conformations extracted from the crystallographic structures in the Protein Data Bank, and a statistical model derived from NMR observables. Analysis of secondary structure populations and Ramachandran distributions analyzed via Wasserstein distances reveals a clear historical progression. Early models display strong helical bias, intermediate ones approach Protein Data Bank trends, and recent versions shift toward solution-like ensembles dominated by polyproline II structure. None of the force fields fully captures the experimental distributions, although recent models show marked improvement over earlier generations. The remaining discrepancies point to specific aspects of local structure that still require tuning, while the overall progress underscores a steady trajectory toward more reliable descriptions of disordered peptides. Competing Interest Statement The authors have declared no competing interest.

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: oa-doi-fallback

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00