Published on 26 April 2023

IRAS ML Predictions

View Dataset
Fried, Zachary

Description

Contained in this repository are the large files required for running the code in the following GitHub repository: https://github.com/zfried/IRAS_ML_Predictions fullDataset.csv contains all of the SMILES strings and length 70 feature vectors of the molecules used to train the mol2vec model. mol2vec_model_final_70.pkl is the trained mol2vec model that produces length 70 molecular feature vectors. prediction_molecules.csv contains all of the SMILES strings and length 89 feature vectors (including isotopic encoding) of the 84,863 molecules that are inputted into the trained model.

Citations (0)

Mentions (1)

Metrics

Dataset Index

2.0

FAIR Score

73%

Citations

0

Mentions

1

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

Assigned Domain

Subfield

Computational Mechanics

Field

Engineering

Domain

Physical Sciences

Confidence Score

99%

Source

Open Alex

Normalization Factors

FT

15.38

CTw

1.00

MTw

1.00