Skip to content

This software can be used to accurately predict BRAF affinity of chemical compounds

License

Notifications You must be signed in to change notification settings

taraponglab/stackbraf

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

61 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

StackBRAF: a large-scale stacking ensemble learning for BRAF affinity prediction

This software can be used for BRAF V600E protein affinity prediction

You can use this model in Web Application : https://qsarlabs.com/#stackbraf

  • Author: Nur Fadhilah Syahid, Natthida Weerapreeyakul, and Tarapong Srisongkram*
  • Corresponding author: Tarapong Srisongkram (tarasri@kku.ac.th)
  • Division of Pharmaceutical Chemistry, Faculty of Pharmaceutical Sciences, Khon Kaen University, Khon Kaen, 40002, Thailand

If you think this code or model useful, please cite us at

Syahid, N. F., Weerapreeyakul, N., & Srisongkram, T. (2023). StackBRAF: A Large-Scale Stacking Ensemble Learning for BRAF Affinity Prediction. ACS Omega. https://doi.org/10.1021/acsomega.3c01641

About

This software can be used to accurately predict BRAF affinity of chemical compounds

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published