Developing an antituberculosis compounds database and data mining in the search of a motif responsible for the activity of a diverse class of antituberculosis agents

scientific article

Developing an antituberculosis compounds database and data mining in the search of a motif responsible for the activity of a diverse class of antituberculosis agents is …
instance of (P31):
scholarly articleQ13442814

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P8978DBLP publication IDjournals/jcisd/PandeyG06
P356DOI10.1021/CI050115S
P698PubMed publication ID16426035

P2093author name stringOm Prakash
Indira Ghosh
P433issue1
P921main subjectdata miningQ172491
P304page(s)17-23
P577publication date2006-01-01
P1433published inJournal of Chemical Information and ModelingQ3007982
P1476titleDeveloping an antituberculosis compounds database and data mining in the search of a motif responsible for the activity of a diverse class of antituberculosis agents
P478volume46

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Q30681280Fusing dual-event data sets for Mycobacterium tuberculosis machine learning models and their evaluation
Q33253073Ligand-based virtual screening, parallel solution-phase and microwave-assisted synthesis as tools to identify and synthesize new inhibitors of mycobacterium tuberculosis
Q37820219Recent advances in fragment-based QSAR and multi-dimensional QSAR methods
Q50960965Structural insight into Mycobacterium tuberculosis maltosyl transferase inhibitors: pharmacophore-based virtual screening, docking, and molecular dynamics simulations.
Q27010340Web tools for predictive toxicology model building

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