Consensus kNN QSAR: a versatile method for predicting the estrogenic activity of organic compounds in silico. A comparative study with five estrogen receptors and a large, diverse set of ligands.
about
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.In silico prediction of estrogen receptor subtype binding affinity and selectivity using statistical methods and molecular docking with 2-arylnaphthalenes and 2-arylquinolines.Discovery of estrogen receptor modulators: a review of virtual screening and SAR efforts.Development and implementation of (Q)SAR modeling within the CHARMMing web-user interfaceSAR and QSAR modeling of endocrine disruptors.Defining a novel k-nearest neighbours approach to assess the applicability domain of a QSAR model for reliable predictions.OPERA models for predicting physicochemical properties and environmental fate endpoints.
P2860
Q31084841-A6729D61-B464-4815-B0C2-C0E742920DF8Q34205634-85DE5FF7-A505-480F-B0F9-FFD49226B002Q34289780-77AF7CA6-428F-4D8F-BBDC-228DEE2BD782Q34572459-4E04A160-E1D2-45C9-AA35-C488B4300D14Q36571852-B96A68C5-9C70-4C3C-A97A-33E90AA1FF20Q41875931-25F137CE-3642-4463-8B02-7DED276B7CF9Q54974457-E5CC2E0E-771D-4D1C-A56B-A4932DB87679
P2860
Consensus kNN QSAR: a versatile method for predicting the estrogenic activity of organic compounds in silico. A comparative study with five estrogen receptors and a large, diverse set of ligands.
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
@zh-cn
name
Consensus kNN QSAR: a versatil ...... large, diverse set of ligands.
@en
type
label
Consensus kNN QSAR: a versatil ...... large, diverse set of ligands.
@en
prefLabel
Consensus kNN QSAR: a versatil ...... large, diverse set of ligands.
@en
P2093
P356
P1476
Consensus kNN QSAR: a versatil ...... large, diverse set of ligands.
@en
P2093
Arja H Asikainen
Juhani Ruuskanen
Kari A Tuppurainen
P304
P356
10.1021/ES049665H
P407
P577
2004-12-01T00:00:00Z