MPBuild: An Automated Pipeline for High-Fidelity Membrane Protein Simulation System Construction

Membrane proteins serve as the targets for 50% of FDA-approved drugs, but their dynamic characterization via molecular dynamics simulation is hindered by labor-intensive system preparation. To address this challenge, we developed MPBuild─an automated pipeline integrating structural repair, noncanonical component parametrization, and system assembly. Key innovations include (i) template-guided restoration of wild-type sequences and missing domains, (ii) automated force field generation for complex ligands, and (iii) decomposed PDB outputs enabling minute-scale system rebuilding. Benchmarked across 11 diverse membrane protein systems, MPBuild achieved processing times comparable to those of CHARMM-GUI when structural repair durations were excluded. Case studies validated the biophysical accuracy: Reproduced binding interfaces of GPR68-G<sub>q</sub>; accurately captured SSTR2/5 and octreotide interactions, and suggested potential novel motifs that may underlie receptor subtype selectivity. In summary, MPBuild serves as a powerful tool for high-throughput membrane protein drug discovery, offering an end-to-end solution that streamlines the entire process from system preparation to simulation.

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Publication Details

Journal
Journal of Chemical Theory and Computation
Published
2025-10-23
DOI
https://doi.org/10.1021/acs.jctc.5c01078
Primary Topic
Protein Structure and Dynamics
Type
article
Field-Weighted Citation Impact
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article

MPBuild: An Automated Pipeline for High-Fidelity Membrane Protein Simulation System Construction

Changlin Tian, Shenglong Ling, Qing Liu, Wei Ding et al.
Journal of Chemical Theory and Computation
Protein Structure and Dynamics
article

MPBuild: An Automated Pipeline for High-Fidelity Membrane Protein Simulation System Construction

Changlin Tian, Shenglong Ling, Qing Liu, Wei Ding, Xiaojun Yao
article en

Abstract

Membrane proteins serve as the targets for 50% of FDA-approved drugs, but their dynamic characterization via molecular dynamics simulation is hindered by labor-intensive system preparation. To address this challenge, we developed MPBuild─an automated pipeline integrating structural repair, noncanonical component parametrization, and system assembly. Key innovations include (i) template-guided restoration of wild-type sequences and missing domains, (ii) automated force field generation for complex ligands, and (iii) decomposed PDB outputs enabling minute-scale system rebuilding. Benchmarked across 11 diverse membrane protein systems, MPBuild achieved processing times comparable to those of CHARMM-GUI when structural repair durations were excluded. Case studies validated the biophysical accuracy: Reproduced binding interfaces of GPR68-G<sub>q</sub>; accurately captured SSTR2/5 and octreotide interactions, and suggested potential novel motifs that may underlie receptor subtype selectivity. In summary, MPBuild serves as a powerful tool for high-throughput membrane protein drug discovery, offering an end-to-end solution that streamlines the entire process from system preparation to simulation.

Journal of Chemical Theory and ComputationVol. 21(21)
Macau University of Science and Technology (MO), University of Science and Technology of China (CN), Shanghai Jiao Tong University (CN), Faculty (United Kingdom) (GB), Shanghai Advanced Research Institute (CN), Drug Discovery Laboratory (Norway) (NO), Institute for Advanced Study (DE), Beijing Academy of Science and Technology (CN), Macao Polytechnic University (MO)
Openalex Percentile: Top 73%
Protein Structure and Dynamics
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