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FragIt: A Tool to Prepare Input Files for Fragment Based Quantum Chemical Calculations

Overview of attention for article published in PLOS ONE, September 2012
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Title
FragIt: A Tool to Prepare Input Files for Fragment Based Quantum Chemical Calculations
Published in
PLOS ONE, September 2012
DOI 10.1371/journal.pone.0044480
Pubmed ID
Authors

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

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.

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Geographical breakdown

Country Count As %
Brazil 1 2%
Unknown 54 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 27%
Professor 6 11%
Student > Ph. D. Student 6 11%
Professor > Associate Professor 5 9%
Student > Doctoral Student 4 7%
Other 11 20%
Unknown 8 15%
Readers by discipline Count As %
Chemistry 30 55%
Computer Science 3 5%
Biochemistry, Genetics and Molecular Biology 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Materials Science 2 4%
Other 5 9%
Unknown 11 20%