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Improved Prediction Of Ligand-Protein Binding Affinities By Meta-Modeling

  • This repository contains scripts, codes, and data for the following study by Lee, Emani, and Gerstein: https://arxiv.org/abs/2310.03946

  • The scripts and codes are shared without optimization in this repository, which may include analyses and results that were not reported in the study above.

File description

  1. README.md : This current page
  2. SupplementaryTables.revised.xlsx : Supplementary Tables S1 to S9 associated with our article (v2) above
  3. data : Data for model training and evaluation
  4. docking : Empirical docking tools
  5. deep learning : Deep learning models
  6. meta-models : Meta-models
  7. LICENSE : GNU General Public License v3.0

Contacts

  • Ho-Joon Lee, Ph.D.: ho-joon.lee[at]yale.edu
  • Prashant Emani, Ph.D.: prashant.emani[at]yale.edu

License

Released under the GNU General Public License v3.0. See LICENSE.

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Meta-modeling of ligand-protein binding affinity

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