Evidence map›Paper›PMID 41393787›Full record

ArticleWiley interdisciplinary reviews. Computational molecular science

Fragme∩t: An Open-Source Framework for Multiscale Quantum Chemistry Based on Fragmentation.

Dustin R Broderick, Paige E Bowling, Chance Brandt, Sigrún Childress, Joshua Shockey, Jonah Higley, Haden Dickerson, Syed Sharique Ahmed, John M Herbert

Abstract read
In one paragraph

Article in Wiley interdisciplinary reviews. Computational molecular science. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Comprehensive Comparison of Molecular Fragmentation Schemes for Proteins.Journal of chemical theory and computation · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Dustin R BroderickDepartment of Chemistry & Biochemistry, The Ohio State University, Columbus, Ohio USA.
Paige E BowlingDepartment of Chemistry & Biochemistry, The Ohio State University, Columbus, Ohio USA.
Chance BrandtDepartment of Chemistry & Biochemistry, The Ohio State University, Columbus, Ohio USA.
Sigrún ChildressDepartment of Chemistry & Biochemistry, The Ohio State University, Columbus, Ohio USA.
Joshua ShockeyDepartment of Chemistry & Biochemistry, The Ohio State University, Columbus, Ohio USA.
Jonah HigleyDepartment of Chemistry & Biochemistry, The Ohio State University, Columbus, Ohio USA.
Haden DickersonDepartment of Chemistry & Biochemistry, The Ohio State University, Columbus, Ohio USA.
Syed Sharique AhmedDepartment of Chemistry & Biochemistry, The Ohio State University, Columbus, Ohio USA.
John M HerbertDepartment of Chemistry & Biochemistry, The Ohio State University, Columbus, Ohio USA.

Funding

Quantum Chemistry Methods for Rational Drug DesignR43GM148095 · NIGMS · Q-CHEM, INC. · PI FENG, XINTIAN · 2023 to 2023
$248k
NIGMS NIH HHS R43 GM148095
6 · The paper itself

Abstract

Fragment-based quantum chemistry offers a means to circumvent the nonlinear computational scaling of conventional electronic structure calculations by partitioning a large calculation into smaller subsystems, then considering the many-body interactions between them. Variants of this approach have been used to parameterize classical force fields and machine learning potentials, applications that benefit from interoperability between quantum chemistry codes. However, there is a dearth of software that provides interoperability yet is purpose-built to handle the combinatorial complexity of fragment-based calculations. To fill this void we introduce "Fragme∩t", an open-source software application that provides a tool for community validation of fragment-based methods, a platform for developing new approximations, and a framework for analyzing many-body interactions. Fragme∩t includes algorithms for automatic fragment generation and structure modification and for distance- and energy-based screening of the requisite subsystems. Checkpointing, database management, and parallelization are handled internally and results are archived into a portable database format. Interfaces are provided to quantum chemistry engines including Q-Chem, PySCF, xTB, Orca, CP2K, MRCC, Psi4, NWChem, GAMESS, and MOPAC. Applications reported here demonstrate parallel efficiencies around 96% on more than 1,000 processors but also showcase that the code can handle large-scale protein fragmentation using only workstation hardware, all with a codebase that is designed to be usable by non-experts. Fragme∩t conforms to modern software development best practices and is built upon well established technologies including Python, SQLite, and Ray. The source code is available under the Apache 2.0 license.

Identifiers

PMID41393787
PMCPMC12700225

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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.