jablonkagroup/peptides_nonfouling
Dataset Details Dataset Description Non-fouling is defined as resistance to non-specific interactions. A non-fouling peptide (positive example) is defined using the mechanism proposed in ref white2012decoding. Briefly, ref white2012decoding, showed that the exterior surfaces of proteins have a significantly different frequency of amino acids, and this increases in aggregation prone environments, like the cytoplasm. Synthesizing self-assembling peptides that follow… See the full description on the dataset page: https://huggingface.co/datasets/jablonkagroup/peptides_nonfouling.
Dataset Details
Dataset Description
Non-fouling is defined as resistance to non-specific interactions. A non-fouling peptide (positive example) is defined using the mechanism proposed in ref white2012decoding. Briefly, ref white2012decoding, showed that the exterior surfaces of proteins have a significantly different frequency of amino acids, and this increases in aggregation prone environments, like the cytoplasm. Synthesizing self-assembling peptides that follow this amino acid distribution and coating surfaces with the peptides creates non-fouling surfaces. This pattern was also found inside chaperone proteins, another area where resistance to non-specific interactions is important (ref white2012role).
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- License: CC BY 4.0
Dataset Sources
Citation
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
BibTeX:
@article{white2012decoding,
title={Decoding nonspecific interactions from nature},
author={White, Andrew D and Nowinski, Ann K and Huang, Wenjun and Keefe,
Andrew J and Sun, Fang and Jiang, Shaoyi},
journal={Chemical Science},
volume={3},
number={12},
pages={3488--3494},
year={2012},
publisher={Royal Society of Chemistry}
@article{barrett2018classifying,
title={Classifying antimicrobial and multifunctional peptides with Bayesian network models},
author={Barrett, Rainier and Jiang, Shaoyi and White, Andrew D},
journal={Peptide Science},
volume={110},
number={4},
pages={e24079},
year={2018},
publisher={Wiley Online Library}