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Dataset . 2024
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Data sources: ZENODO
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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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OpenFE Ligand Networks for the Protein Ligand Benchmark set

Authors: Baumann, Hannah M.; Alibay, Irfan;

OpenFE Ligand Networks for the Protein Ligand Benchmark set

Abstract

These are the OpenFE LigandNetworks for the 15 systems from the ProteinLigandBenchmark v0.3 (https://github.com/openforcefield/protein-ligand-benchmark) - Kartograf mapper - Lomap scorer - OpenEye AM1BCC ELF10 partial charges - MST networks - allowing element changes There are 10 systems that do not involve charge changing transformations, and 5 systems with transformations that involve a change in the net charge of the system (in folder `net_charge_changes`: cdk8, eg5, syk, thrombin, tnks2). These .graphml files can be read into OpenFE using: ``` from openfe.setup import LigandNetwork file = 'ligand_network.graphml' with open(file) as f: graphml = f.read() network = LigandNetwork.from_graphml(graphml) ```

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average