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ZENODO
Dataset . 2022
Data sources: ZENODO
ZENODO
Dataset . 2023
Data sources: Datacite
ZENODO
Dataset . 2023
Data sources: Datacite
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FragGT: Fragment-based Evolutionary Molecule Generation using Gene Types

Authors: Meyers, Joshua; Brown, Nathan;

FragGT: Fragment-based Evolutionary Molecule Generation using Gene Types

Abstract

This directory contains data requires to run frag-gt (Meyers and Brown, 2023), a fragment-based evolutionary algorithm for generating optimal molecules released as part of the guacamol_baselines GitHub repository – https://github.com/BenevolentAI/guacamol_baselines. Scripts for generating the data are available from github. The compressed data directory contains (A) Processed and filtered SMILES derived from ChEMBL v.33 produced by `download_chembl_smiles` and (B) fragment stores generated by `generate_fragstore` and `filter_fragstore` for both the above file in (A) and the original GuacaMol dataset. smiles_files and fragstores were derived from molecule data downloaded from ChEMBL (https://www.ebi.ac.uk/chembl). Liability: We do not represent and/or warrant that no third party rights exist which might prevent the use of the database or that no third party rights would be infringed by said use. (data updated for frag-gt version 0.0.2)

Keywords

de novo molecular design, generative models, CADD, cheminformatics, chemoinformatics

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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.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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