The relative binding affiniy values of all 8000 tripeptide sequenses are shown here. The values are standardized by isoforms so that the mean is zero and the variance is one. The sequences are ordered by the results of hierarchical cluster analysis. 

Dataset Files

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[1] Chao Wang, "Prediction of the relative binding affinity for the peptide sequences against 14-3-3s", IEEE Dataport, 2020. [Online]. Available: http://dx.doi.org/10.21227/shj2-2f62. Accessed: Feb. 25, 2024.
@data{shj2-2f62-20,
doi = {10.21227/shj2-2f62},
url = {http://dx.doi.org/10.21227/shj2-2f62},
author = {Chao Wang },
publisher = {IEEE Dataport},
title = {Prediction of the relative binding affinity for the peptide sequences against 14-3-3s},
year = {2020} }
TY - DATA
T1 - Prediction of the relative binding affinity for the peptide sequences against 14-3-3s
AU - Chao Wang
PY - 2020
PB - IEEE Dataport
UR - 10.21227/shj2-2f62
ER -
Chao Wang. (2020). Prediction of the relative binding affinity for the peptide sequences against 14-3-3s. IEEE Dataport. http://dx.doi.org/10.21227/shj2-2f62
Chao Wang, 2020. Prediction of the relative binding affinity for the peptide sequences against 14-3-3s. Available at: http://dx.doi.org/10.21227/shj2-2f62.
Chao Wang. (2020). "Prediction of the relative binding affinity for the peptide sequences against 14-3-3s." Web.
1. Chao Wang. Prediction of the relative binding affinity for the peptide sequences against 14-3-3s [Internet]. IEEE Dataport; 2020. Available from : http://dx.doi.org/10.21227/shj2-2f62
Chao Wang. "Prediction of the relative binding affinity for the peptide sequences against 14-3-3s." doi: 10.21227/shj2-2f62