Chemoinformatic Classification Methods and their Applicability Domain.
about
Macromolecular target prediction by self-organizing feature maps.QSAR models of human data can enrich or replace LLNA testing for human skin sensitization.Chemical toxicity prediction for major classes of industrial chemicals: Is it possible to develop universal models covering cosmetics, drugs, and pesticides?Sparse Neural Network Models of Antimicrobial Peptide-Activity Relationships.Efficiency of different measures for defining the applicability domain of classification models.Generative Recurrent Networks for De Novo Drug Design.Applicability domain: towards a more formal definition.Predictive Models for the Free Energy of Hydrogen Bonded Complexes with Single and Cooperative Hydrogen Bonds.Spectrophores as one-dimensional descriptors calculated from three-dimensional atomic properties: applications ranging from scaffold hopping to multi-target virtual screening.Lipophilicity prediction of peptides and peptide derivatives by consensus machine learningRole of simple descriptors and applicability domain in predicting change in protein thermostability
P2860
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P2860
Chemoinformatic Classification Methods and their Applicability Domain.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年学术文章
@wuu
2016年学术文章
@zh-cn
2016年学术文章
@zh-hans
2016年学术文章
@zh-my
2016年学术文章
@zh-sg
2016年學術文章
@yue
2016年學術文章
@zh
2016年學術文章
@zh-hant
name
Chemoinformatic Classification Methods and their Applicability Domain.
@en
type
label
Chemoinformatic Classification Methods and their Applicability Domain.
@en
prefLabel
Chemoinformatic Classification Methods and their Applicability Domain.
@en
P2860
P356
P1476
Chemoinformatic Classification Methods and their Applicability Domain.
@en
P2093
Miriam Mathea
Waldemar Klingspohn
P2860
P304
P356
10.1002/MINF.201501019
P50
P577
2016-02-19T00:00:00Z