/can-ai-do

Predicting or pretending: artificial intelligence for protein-ligand interactions lack of sufficiently large and unbiased datasets

Primary LanguageUnrealScriptMIT LicenseMIT

Predicting or pretending: artificial intelligence for protein-ligand interactions lack of sufficiently large and unbiased datasets

Author: Jincai Yang, Cheng Shen and Niu Huang*

This article is part of the research topic Artificial intelligence for Drug Discovery and Development of Frontiers in Pharmacology 2020. https://doi.org/10.3389/fphar.2020.00069

image

Reproduction

Toturial to reproduce the result in the paper.

Citation

To cite this paper, please use this bibtex entry:

@article{Yang2020,
  doi = {10.3389/fphar.2020.00069},
  url = {https://doi.org/10.3389/fphar.2020.00069},
  year = {2020},
  month = feb,
  publisher = {Frontiers Media {SA}},
  volume = {11},
  author = {Jincai Yang and Cheng Shen and Niu Huang},
  title = {Predicting or Pretending: Artificial Intelligence for Protein-Ligand Interactions Lack of Sufficiently Large and Unbiased Datasets},
  journal = {Frontiers in Pharmacology}
}

Acknowledgement

Computational support was provided by the Special Program for Applied Research on Super Computation of the NSFC-Guangdong Joint Fund (the second phase) under Grant No. U1501501 to NH.