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Kahn, I.; Lomaka, A.; Karelson, M. Topological Fingerprints as an Aid in Finding Structural Patterns for LRRK2 Inhibition. Mol. Inf. 2014, 33, 269-275.

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Kahn, I.; Lomaka, A.; Karelson, M. Topological Fingerprints as an Aid in Finding Structural Patterns for LRRK2 Inhibition. Mol. Inf. 2014, 33, 269-275.

QDB archive DOI: 10.15152/QDB.161   DOWNLOAD

QsarDB content

Property pKi: LRRK2 inhibition as log(1/Ki)

Compounds: 198 | Models: 2 | Predictions: 4

pls: PLS model of diverse drug-like compounds i

Regression model ensemble (regression)

Open in:QDB Explorer QDB Predictor

Name Type n

R2

σ

Training set training 170 0.866 0.423
Validation set external validation 28 0.633 0.701
bmlr: MLR model of diverse drug-like compounds i

Regression model (regression)

Open in:QDB Explorer QDB Predictor

Name Type n

R2

σ

Training set training 170 0.489 0.826
Validation set external validation 28 0.489 0.829

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dc.date.accessioned 2015-05-28T20:35:46Z
dc.date.available 2015-05-28T20:35:46Z
dc.date.issued 2015-05-28
dc.identifier.uri http://hdl.handle.net/10967/161
dc.identifier.uri http://dx.doi.org/10.15152/QDB.161
dc.description.abstract Multiplet-based fingerprint mapping has been used to analyse the relationship between the structural features of potential drug candidates and the enzyme LRRK2 inhibition expressed as the inhibition constant (pKi). For 198 structurally diverse compounds 4195 dimensional fingerprints were generated and mathematically manipulated using partial least squares (PLS) regression. A variation of PLS-BETA technique was developed for the reduction of noise by eliminating excess variables that resulted in a 636 dimensional fingerprint related to pKi. The QSAR model for the training set of 170 compounds (R2=0.87, Q2=0.77 and SDEC=0.42) had four latent variables (PLS components) and it was validated by the external test set of 28 compounds (Qext2=0.63). The proposed model of LRRK2 inhibitory activity can be helpful in designing focused libraries enriched in LRRK2 inhibitors and identifying new active chemotypes in compound databases.
dc.publisher Priit Ahte
dc.rights Attribution 4.0 International
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.title Kahn, I.; Lomaka, A.; Karelson, M. Topological Fingerprints as an Aid in Finding Structural Patterns for LRRK2 Inhibition. Mol. Inf. 2014, 33, 269-275.
qdb.property.endpoint 5. Toxicokinetics 5.9. Protein-binding en_US
qdb.descriptor.application QSARModel 5.0.0 en_US
qdb.prediction.application QSARModel 5.0.0 en_US
bibtex.entry article en_US
bibtex.entry.author Kahn, I.
bibtex.entry.author Lomaka, A.
bibtex.entry.author Karelson, M.
bibtex.entry.doi 10.1002/minf.201300057 en_US
bibtex.entry.journal Mol. Inform. en_US
bibtex.entry.month Mar
bibtex.entry.number 4 en_US
bibtex.entry.pages 269-275 en_US
bibtex.entry.title Topological Fingerprints as an Aid in Finding Structural Patterns for LRRK2 Inhibition en_US
bibtex.entry.volume 33 en_US
bibtex.entry.year 2014
qdb.model.type Regression model ensemble (regression) en_US
qdb.model.type Regression model (regression) en_US


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