Published March 1, 2022
| Version v2
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Extended data for Manuscript: Identification of potential biological targets of oxindole scaffolds via in silico repositioning strategies
Authors/Creators
- 1. Department of Life Sciences, University of Modena and Reggio Emilia, Via G. Campi 103, Modena, 41125, Italy; Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, Modena, Italy.
- 2. Department of Life Sciences, University of Modena and Reggio Emilia, Via G. Campi 103, Modena, 41125, Italy
- 3. Department of Chemistry, University of Durham, Lower Mount Joy, South Road, Durham, DH1 3LE, United Kingdom
Description
This is the Extended Data for the manuscript "Identification of potential biological targets of oxindole scaffolds via in silico repositioning strategies" submitted to F1000 Research.
Extended Data include a list of all the accession codes as mentioned in the text, the results of 2D fingerprint-based similarity analyses and ligand-protein complexes predicted by rigid docking and Induced Fit Docking calculations.
Files
2D_similarity_data_oxindoles_9-19.csv
Files
(5.4 MB)
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