2004
DOI: 10.1021/jm0303195
|View full text |Cite
|
Sign up to set email alerts
|

Classification of Kinase Inhibitors Using a Bayesian Model

Abstract: The use of Bayesian statistics to model both general (multifamily) and specific (single-target) kinase inhibitors is investigated. The approach demonstrates an alternative to current computational methods applied to heterogeneous structure/activity data sets. This approach operates rapidly and is readily modifiable as required. A generalized model generated using inhibitor data from multiple kinase classes shows meaningful enrichment for several specific kinase targets. Such an approach can be used to prioriti… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
293
0

Year Published

2007
2007
2024
2024

Publication Types

Select...
5
4

Relationship

0
9

Authors

Journals

citations
Cited by 339 publications
(296 citation statements)
references
References 24 publications
1
293
0
Order By: Relevance
“…When n features of a compound were generated, a cumulative score of feature contributions to the actives likeness (P combined ) was computed. More details concerning the method have been described by Xia et al [26] .…”
Section: Modeling Methodsmentioning
confidence: 99%
“…When n features of a compound were generated, a cumulative score of feature contributions to the actives likeness (P combined ) was computed. More details concerning the method have been described by Xia et al [26] .…”
Section: Modeling Methodsmentioning
confidence: 99%
“…Substructural analysis was studied in considerable detail by workers at the National Institutes of Health in an extended programme to develop novel anti-cancer agents [47][48][49], and also by workers at Lederle [29] and Sheffield [50][51][52]. However, it is only in the last few years that this general approach has become widely used [53][54][55][56][57][58][59][60][61][62].…”
Section: Substructural Analysis Naive Bayesian Classifiers and Groupmentioning
confidence: 99%
“…Experiments were also conducted using the NBC in the Pipeline Pilot software [19][20][21] ; however the results obtained were comparable to those with R4 and hence only the latter sets of results are discussed here.…”
Section: Experimental Details and Resultsmentioning
confidence: 99%
“…An operational example of the use of substructural analysis is the PASS (for Prediction of Activity Spectra for Substances) system developed by the Poroikov group 11,16,17 . Some of the weighting schemes that have been used in substructural analysis are closely related to those obtained using a naive Bayesian classifier 18 (hereafter NBC), a well-established approach to machine learning that has become popular in chemoinformatics with the availability of the Bayesian modelling routine in the Pipeline Pilot software system [19][20][21] .…”
Section: Introductionmentioning
confidence: 99%