Skip to main content

Table 1 List of AI-based computational tools for drug delivery

From: Emerging of artificial intelligence and technology in pharmaceuticals: review

Tools

Description

Website URL

References

Alpha fold

Protein 3D structure prediction

https://deepmind.com/blog/alphafold

[10]

Chemputer

A more standardized format for reporting a chemical synthesis procedure

https://zenodo.org/record/1481731

[11]

DeepChem

A python-based AI tool for various drug delivery task predictions

https://github.com/deepchem/deepchem

[12]

Deep neural net-QSAR

Molecular activity predictions

https://github.com/Merck/DeepNeuralNet-QSAR

[13]

Deep tox

Toxicity predictions

www.bioinf.jku.at/research/DeepTox

[14]

Delta vina

A scoring function for rescoring protein–ligand binding affinity

https://github.com/chengwang88/deltavia

[15]

Hit dexter

ML models for the prediction of molecules that might respond to biochemical assays

http://hitdexter2.zbh.uni-hamburg.de

[16]

Neural graph fingerprints

Property prediction of novel molecules

https://github.com/HIPS/neural-fingerprint

[17]

NNScore

Neural network-based scoring function for protein–ligand interaction

https://pubs.acs.org/doi/full/10.1021/acscentsci.8b00507

[18]

ODDT

A comprehensive toolkit for use in chemoinformatics and molecular modeling

https://github.com/aspuru-guzik-group/ORGANIC

[19]