Evidence map›Paper›PMID 23028546›Full record

ArticlePloS one2012

FragIt: a tool to prepare input files for fragment based quantum chemical calculations.

Casper Steinmann, Mikael W Ibsen, Anne S Hansen, Jan H Jensen

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
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

10 citing papers in PubMed, 52 citations in OpenAlex.

  1. Comprehensive Comparison of Molecular Fragmentation Schemes for Proteins.Journal of chemical theory and computation · 2026
    Article
  2. Article
  3. Article
  4. Open source molecular modeling.Journal of molecular graphics & modelling · 2016
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Fragme∩t: An Open-Source Framework for Multiscale Quantum Chemistry Based on Fragmentation.Wiley interdisciplinary reviews. Computational molecular science
    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

4 authors at 1 institution in 1 country.

Casper SteinmannDepartment of Chemistry, University of Copenhagen, Copenhagen, Denmark. steinmann@chem.ku.dk
Mikael W Ibsen
Anne S Hansen
Jan H Jensen
University of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Near linear scaling fragment based quantum chemical calculations are becoming increasingly popular for treating large systems with high accuracy and is an active field of research. However, it remains difficult to set up these calculations without expert knowledge. To facilitate the use of such methods, software tools need to be available to support these methods and help to set up reasonable input files which will lower the barrier of entry for usage by non-experts. Previous tools relies on specific annotations in structure files for automatic and successful fragmentation such as residues in PDB files. We present a general fragmentation methodology and accompanying tools called FragIt to help setup these calculations. FragIt uses the SMARTS language to locate chemically appropriate fragments in large structures and is applicable to fragmentation of any molecular system given suitable SMARTS patterns. We present SMARTS patterns of fragmentation for proteins, DNA and polysaccharides, specifically for D-galactopyranose for use in cyclodextrins. FragIt is used to prepare input files for the Fragment Molecular Orbital method in the GAMESS program package, but can be extended to other computational methods easily.

Indexed as

SoftwareAlgorithmsDNAModels, ChemicalPolymersPolysaccharidesProteinsDNAPolymersPolysaccharidesProteins

Identifiers

PMID23028546
PMCPMC3445547
OpenAlexW2138209850

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.