PACEff Builder: An Efficient Platform for Constructing PACE Hybrid-Resolution Models for Molecular Dynamics Simulations of Aqueous Protein, Peptide Assembly, and Membrane Protein Systems

Hybrid resolution molecular dynamics offers a practical balance between the accuracy of all-atom models and the efficiency of coarse-grained (CG) approaches. We previously developed Protein in Atomistic details coupled with CG Environment (PACE), a force field that uses a united atom description for proteins and a MARTINI CG environment for lipids, water, and ions. PACE has been validated for native-state stability, ab initio folding of small proteins, peptide self-assembly, and membrane protein applications. However, deployment can be difficult due to variant selection and system-specific construction protocols. Here, we present PACEff Builder, a free web platform that automates PACE model preparation for four common scenarios: aqueous proteins, peptide assemblies, membrane proteins, and mixed-resolution systems that couple PACE protein domains to MARTINI surroundings. The platform provides a unified workflow for structure intake and system parametrization, offers options for terminal capping, lipid composition, ionic conditions, and OPM-based orientation, and generates GROMACS-ready topologies, parameters, and coordinates. To further lower the entry barrier, it pairs a lightweight language model with a deterministic parser that converts natural language requests into complete build configurations. The PACEff Builder streamlines PACE model preparation while maintaining transparency and consistency. The platform is available at https://paceff.com.

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Publication Details

Journal
Journal of Chemical Information and Modeling
Published
2026-06-30
DOI
https://doi.org/10.1021/acs.jcim.6c01443
Primary Topic
Supramolecular Self-Assembly in Materials
Type
article
Field-Weighted Citation Impact
0.00

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article

PACEff Builder: An Efficient Platform for Constructing PACE Hybrid-Resolution Models for Molecular Dynamics Simulations of Aqueous Protein, Peptide Assembly, and Membrane Protein Systems

Shu Li, Wei Han, Jiabin Guo
Journal of Chemical Information and Modeling
Supramolecular Self-Assembly in Materials
article

PACEff Builder: An Efficient Platform for Constructing PACE Hybrid-Resolution Models for Molecular Dynamics Simulations of Aqueous Protein, Peptide Assembly, and Membrane Protein Systems

Shu Li, Wei Han, Jiabin Guo
article en

Abstract

Hybrid resolution molecular dynamics offers a practical balance between the accuracy of all-atom models and the efficiency of coarse-grained (CG) approaches. We previously developed Protein in Atomistic details coupled with CG Environment (PACE), a force field that uses a united atom description for proteins and a MARTINI CG environment for lipids, water, and ions. PACE has been validated for native-state stability, ab initio folding of small proteins, peptide self-assembly, and membrane protein applications. However, deployment can be difficult due to variant selection and system-specific construction protocols. Here, we present PACEff Builder, a free web platform that automates PACE model preparation for four common scenarios: aqueous proteins, peptide assemblies, membrane proteins, and mixed-resolution systems that couple PACE protein domains to MARTINI surroundings. The platform provides a unified workflow for structure intake and system parametrization, offers options for terminal capping, lipid composition, ionic conditions, and OPM-based orientation, and generates GROMACS-ready topologies, parameters, and coordinates. To further lower the entry barrier, it pairs a lightweight language model with a deterministic parser that converts natural language requests into complete build configurations. The PACEff Builder streamlines PACE model preparation while maintaining transparency and consistency. The platform is available at https://paceff.com.

Journal of Chemical Information and Modeling
Hong Kong Baptist University (HK), Faculty (United Kingdom) (GB), Shenzhen Bay Laboratory (CN), Macao Polytechnic University (MO)
National Natural Science Foundation of China, Fundo para o Desenvolvimento das Ciências e da Tecnologia
Openalex Percentile: Top 15%
Supramolecular Self-Assembly in Materials
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