edpratt1/KINATESTID: A Pipeline for Kinase-Specific Artificial Peptide Design
This pipeline employs a combination of curated collections of known endogenous substrate sequences and data from phosphoproteomics- informed kinase assays to develop an in silico peptide library. This library is used for systematic identification of position-specific amino acid preferences. These preferences inform the design of artificial candidate sequences optimized for kinase-specific performance which can then be characterized in vitro or in vivo.
Getting started
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Package details |
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| Author | Erica D. Pratt [aut, cre], John B. Blankenhorn [aut], Laurie L. Parker [aut] |
| Maintainer | Erica D. Pratt <epratt@bu.edu> |
| License | |
| Version | 2.1.1 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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