Version 1.0

MELLODDY TUNER release v2 public data

Friedrich, Lukas

Description

A public dataset from ChEMBL (v25) for MELLODDY TUNER release v2. Data extracted from ChEMBL and PubChem (input archives), and processed with https://github.com/melloddy/MELLODDY-TUNER release v2. Data can be used for technical tests, template for your own dataset and machine learning with SparseChem (https://github.com/melloddy/SparseChem).

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.4

FAIR Score

73%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

License

Creative Commons Attribution 3.0 Unported

Open Access

Assigned Domain

Subfield

Computer Science Applications

Field

Computer Science

Domain

Physical Sciences

Confidence Score

34%

Source

Scholar Data Model

Keywords

drug discoverydeep learningbioactivity data

Normalization Factors

FT

57.69

CTw

1.00

MTw

1.00