READ ME File For patch clamp data accociated with the paper - 'Amino acid appended supramolecular self-associating amphiphiles, selective and simultaneous activity against both MRSA and ovarian cancer cells'

DOI - 10.26434/chemrxiv-2025-bjgl9

Date that the file was created: February, 2024

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GENERAL INFORMATION
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ReadMe Author: Thomas Allam, University of Southampton 

Information about geographic location of data collection: International

Related projects: SSA project - Hiscock Group, Univesity of Kent

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SHARING/ACCESS INFORMATION
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Licenses/restrictions placed on the data, or limitations of reuse: CC-BY

This dataset supports the paper:
AUTHORS: Precious I. A. Poopola, Thomas Allam, Rebecca J. Lilley, Chadni Manwani, Junyang Tan, Kylie Yang, Yifan Long, Alvaro Keskkula, Lisa J. White, Kira L. F. Hilton, Olivia Keers, Jennifer Rankin, Jennifer Baker, Hollie Wilson, J. Mark Sutton, Charlotte K. Hind, Michelle D. Garrett, Cally J. E. Haynes, and Jennifer Hiscock
TITLE: Amino acid appended supramolecular self-associating amphiphiles, selective and simultaneous activity against both MRSA and ovarian cancer cells

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METHODOLOGICAL INFORMATION
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original_data_curated_for_analysis: This folder contains the original ASC files from the patch clamp experiment.

processed_data: This folder contains the data curated into CSV format for analysis in the Python.

final_datapoints_generated: This folder contains the graphs generated for supplementary information and interactive plots for further analysis of the patch clamp data.

molecule_smiles_and_numbering: This folder contains the SMILES (Simplified Molecular Input Line Entry Specification) strings, the internal numbering system used initially to curate the data, and the numbering system used in the paper.

The code for this project is available on GitHub at https://github.com/ta1u18/ssa_patch_clamp_data_analysis