New strategy for receptor-based pharmacophore query construction: a case study for 5-HT₇ receptor ligands.
about
Practical application of the Average Information Content Maximization (AIC-MAX) algorithm: selection of the most important structural features for serotonin receptor ligands.Molecular dynamic simulations and structure-based pharmacophore development for farnesyltransferase inhibitors discovery.Pharmacophore modeling using site-identification by ligand competitive saturation (SILCS) with multiple probe molecules.Improvising 5-HT7R homology model for design of high affinity ligands: model validation with docking, embrace minimization, MM-GBSA, and molecular dynamic simulations.Binding mode of conformations and structure-based pharmacophore development for farnesyltransferase inhibitors
P2860
New strategy for receptor-based pharmacophore query construction: a case study for 5-HT₇ receptor ligands.
description
2013 nî lūn-bûn
@nan
2013 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
New strategy for receptor-base ...... dy for 5-HT₇ receptor ligands.
@en
type
label
New strategy for receptor-base ...... dy for 5-HT₇ receptor ligands.
@en
prefLabel
New strategy for receptor-base ...... dy for 5-HT₇ receptor ligands.
@en
P356
P1476
New strategy for receptor-base ...... dy for 5-HT₇ receptor ligands.
@en
P304
P356
10.1021/CI4005207
P577
2013-11-22T00:00:00Z