Performance of (consensus) kNN QSAR for predicting estrogenic activity in a large diverse set of organic compounds.
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Performance of multicomponent self-organizing regression (MCSOR) in QSAR, QSPR, and multivariate calibration: comparison with partial least-squares (PLS) and validation with large external data sets.SAR and QSAR modeling of endocrine disruptors.In silico-aided prediction of biological properties of chemicals: oestrogen receptor-mediated effects.Investigation of the influence of protein corona composition on gold nanoparticle bioactivity using machine learning approaches.In silico Prediction of Aqueous Solubility: a Comparative Study of Local and Global Predictive Models.QSAR and Predictors of Eye and Skin Effects.Structure-activity relationship study of trifluoromethylketone inhibitors of insect juvenile hormone esterase: comparison of several classification methods.Mixed learning algorithms and features ensemble in hepatotoxicity prediction.External validation of structure-biodegradation relationship (SBR) models for predicting the biodegradability of xenobiotics.Conformation-dependent QSAR approach for the prediction of inhibitory activity of bromodomain modulators.Comparison of representational spaces based on structural information in the development of QSAR models for benzylamino enaminone derivatives.Homology model of the rainbow trout estrogen receptor (rtERalpha) and docking of endocrine disrupting chemicals (EDCs).
P2860
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P2860
Performance of (consensus) kNN QSAR for predicting estrogenic activity in a large diverse set of organic compounds.
description
2004 nî lūn-bûn
@nan
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
2004年论文
@zh
2004年论文
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name
Performance of (consensus) kNN ...... erse set of organic compounds.
@ast
Performance of (consensus) kNN ...... erse set of organic compounds.
@en
type
label
Performance of (consensus) kNN ...... erse set of organic compounds.
@ast
Performance of (consensus) kNN ...... erse set of organic compounds.
@en
prefLabel
Performance of (consensus) kNN ...... erse set of organic compounds.
@ast
Performance of (consensus) kNN ...... erse set of organic compounds.
@en
P2093
P2860
P1476
Performance of (consensus) kNN ...... erse set of organic compounds.
@en
P2093
Asikainen AH
Ruuskanen J
Tuppurainen KA
P2860
P356
10.1080/1062936032000169642
P577
2004-02-01T00:00:00Z