ArticleThe journal of physical chemistry letters2014
Building Force Fields: An Automatic, Systematic, and Reproducible Approach.
Article in The journal of physical chemistry letters, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 228 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
228 citing papers in PubMed.
- Classical quantum chemical solution of the FeMo-cofactor model to chemical accuracy and its implications.Science advances · 2026Article
- A structure-aware generative AI framework for revealing functional relationships in protein families.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Training a force field for proteins and small molecules from scratch.Chemical science · 2026Article
- RNA polymerase II CTD Ser5 phosphorylation induces competing effects of expansion and compaction.Biophysical journal · 2026Article
- AFM-Fold: Rapid reconstruction of protein conformations from AFM images.Biophysical journal · 2026Article
- Multiscale Neural Network Potential with Anisotropic Message Passing for the Fast and Accurate Simulation of Protein Dynamics and Enzymatic Reactions.Journal of the American Chemical Society · 2026Article
- Simultaneous learning of static and dynamic charges.Physical chemistry chemical physics : PCCP · 2026Article
- AI-Physics-Experiment Trinity for Integrated Protein Dynamics Modeling.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Article
- Predicting Properties of Cyclohexene with Electronic Structure Methods through Adaptive Force Matching.The journal of physical chemistry. C, Nanomaterials and interfaces · 2026Article
- Molecular dynamics study of water anomalies: a comparison of OPC3 and TIP4P/Journal of molecular modeling · 2026Article
- Molecular origins of opalescence and phase separation in mAb formulations and their relation to aggregation.Communications chemistry · 2026Article
- The Open Molecular Software Foundation (OMSF) and the Growing Role of Open Source Software in Molecular Modeling.Journal of chemical information and modeling · 2026Review
- MiMiCPy-FM: A User-Friendly Force Matching Tool for Extending the Time Scale of QM/MM MD MiMiC Simulations.Journal of chemical information and modeling · 2026Article
- Article
- Leak Proof PDBBind: A Reorganized Data Set of Protein-Ligand Complexes for More Generalizable Binding Affinity Prediction.The journal of physical chemistry. B · 2026Article
- HessFit: Deriving Molecule-Specific Force Fields from Quantum Mechanical Hessians.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Insights into the membrane repair mechanism by the coiled-coil-mediated oligomerization of TRIM72.Biochemistry and biophysics reports · 2025Article
- Atomistic Polymer Modeling: Recent Advances and Challenges in Building and Parametrization Workflows.Macromolecules · 2025Review
- Topological Analysis Reveals Multiple Pathways in Molecular Dynamics.Journal of chemical theory and computation · 2025Article
168 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
The development of accurate molecular mechanics force fields is a significant challenge that must be addressed for the continued success of molecular simulation. We developed the ForceBalance method to automatically derive accurate force field parameters using flexible combinations of experimental and theoretical reference data. The method is demonstrated in the parametrization of two rigid water models, yielding new parameter sets (TIP3P-FB and TIP4P-FB) that accurately describe many physical properties of water.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.