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Table 2 Functionality available within the molscore sub-package

From: MolScore: a scoring, evaluation and benchmarking framework for generative models in de novo drug design

   

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References

Scoring functions

Descriptors

RDKit Descriptors

No

[23]

Linker Descriptors

No

[32]

Penalised logP

No

[9]

Maximum number of consecutive rotatable bonds

No

 

Similarity

Isomer similarity

No

[8]

Fingerprint similarity

No

[8]

Molecular substructure match

No

[8, 19]

Molecular substructure filters

No

[19]

ROCS

Yes

[33]

Open 3D Align

No

[34]

Applicability domain

Maximum similarity

No

[35]

Feature range

No

[35]

Physchem range

No

[35]

Predictive models

Scikit-learn models

No

[28]

PIDGINv5

No

[30, 36]

ChemProp

No

[27]

ADMET-AI

No

[37]

Docking

Glide

Yes

[38]

PLANTS

Yes

[39]

GOLD

Yes

[40]

OEDock

Yes

[41]

Smina

No

[42]

Gnina

No

[43]

Vina

No

[44]

rDock

No

[45]

Synthesizability

SA score

No

[46]

RA Score

No

[25]

AiZynthFinder

No

[26]

Reaction filters

No

[47]

Scoring function utilities

Fingerprints

ECFP (Morgan), Atom-pair, Topological-torsions, MACCS keys, RDKit, Avalon, Pharm2D

No

[23]

Similarity measure

Tanimoto, All bit, Asymmetric, Braun Blanquet, Cosine, McConnaughey, Dice, Kulczynski, Russel, On bit, Rogot Goldberg, Sokal

No

[23]

Molecule preparation pipelines

GypsumDL

No

[48]

Ligprep

Yes

[49]

Epik

Yes

[50]

Moka

Yes

[51]

Diversity filters

 

Unique

No

 

Occurrence

No

 

IdenticalMurckoScaffold

No

[52]

IdenticalTopologicalScaffold

No

[52]

CompoundSimilarity

No

[52]

ScaffoldSimilarityAtomPair

No

[52]

ScaffoldSimilarityECFP

No

 

Transformation functions

 

Normalise

No

 

Linear threshold

No

[8]

Gaussian threshold

No

[8]

Step threshold

No

 

Aggregation functions

 

Weighted sum

No

 

Auto-weighted sum

No

[53]

Product

No

 

Weighted Product

No

 

Auto-weighted product

No

[53]

Geometric Mean

No

 

Arithmetic Mean

No

 

Pareto front

No

[53]