Prediction of the potency of mammalian cyclooxygenase inhibitors with ensemble proteochemometric modeling.
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Chemically Aware Model Builder (camb): an R package for property and bioactivity modelling of small moleculesBioalerts: a python library for the derivation of structural alerts from bioactivity and toxicity data setsA corpus for plant-chemical relationships in the biomedical domainChemical entity recognition in patents by combining dictionary-based and statistical approachesA knowledge-poor approach to chemical-disease relation extractionInvestigating the Importance of the Pocket-estimation Method in Pocket-based Approaches: An Illustration Using Pocket-ligand Classification.Improved large-scale prediction of growth inhibition patterns using the NCI60 cancer cell line panel.A neural network multi-task learning approach to biomedical named entity recognition.The recent progress in proteochemometric modelling: focusing on target descriptors, cross-term descriptors and application scope.QSAR-driven design, synthesis and discovery of potent chalcone derivatives with antitubercular activity.Active learning for computational chemogenomics.Kinome-Wide Profiling Prediction of Small Molecules.Have artificial neural networks met expectations in drug discovery as implemented in QSAR framework?A method for named entity normalization in biomedical articles: application to diseases and plants.Multi-Layer Identification of Highly-Potent ABCA1 Up-Regulators Targeting LXRβ Using Multiple QSAR Modeling, Structural Similarity Analysis, and Molecular Docking.
P2860
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P2860
Prediction of the potency of mammalian cyclooxygenase inhibitors with ensemble proteochemometric modeling.
description
2015 nî lūn-bûn
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2015 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2015 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2015年の論文
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2015年論文
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2015年論文
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2015年論文
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2015年論文
@zh-mo
2015年論文
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2015年论文
@wuu
name
Prediction of the potency of m ...... ble proteochemometric modeling
@nl
Prediction of the potency of m ...... le proteochemometric modeling.
@ast
Prediction of the potency of m ...... le proteochemometric modeling.
@en
type
label
Prediction of the potency of m ...... ble proteochemometric modeling
@nl
Prediction of the potency of m ...... le proteochemometric modeling.
@ast
Prediction of the potency of m ...... le proteochemometric modeling.
@en
prefLabel
Prediction of the potency of m ...... ble proteochemometric modeling
@nl
Prediction of the potency of m ...... le proteochemometric modeling.
@ast
Prediction of the potency of m ...... le proteochemometric modeling.
@en
P2860
P50
P3181
P1476
Prediction of the potency of m ...... le proteochemometric modeling.
@en
P2093
Daniel S Murrell
Thérèse E Malliavin
P2860
P2888
P3181
P356
10.1186/S13321-014-0049-Z
P577
2015-01-16T00:00:00Z
P5875
P6179
1009895652