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Data-Mining Unveils Structure-Property-Activity Correlation of Viral Infectivity Enhancing Self-Assembling Peptides

Authors: Kaygisiz, Kübra; Rauch-Wirth, Lena; Dutta, Arghya; Yu, Xiaoqing; Nagata, Yuki; Bereau, Tristan; Münch, Jan; +2 Authors

Data-Mining Unveils Structure-Property-Activity Correlation of Viral Infectivity Enhancing Self-Assembling Peptides

Abstract

Code Pattern Analysis is a Python code that runs on a Jupyter Notebook. the script can identify coarse-grained amino acid patterns in a peptide library according to the Kyte-Doolittle classification. A model dataset "input.xlsx" that was applied in the corresponding publication is provided as input data. Code PAAA (Peptide Amino Acid Analyzer) can quantify the numbers of certain amino acids in a peptide library. A model dataset "Peptide-Library163.csv" and "Rel-Pep-163.csv" that was applied in the corresponding publication are provided as input data.

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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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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1
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36
9