dc.contributor.author |
Afantitis, A |
en |
dc.contributor.author |
Melagraki, G |
en |
dc.contributor.author |
Sarimveis, H |
en |
dc.contributor.author |
Koutentis, PA |
en |
dc.contributor.author |
Markopoulos, J |
en |
dc.contributor.author |
Igglessi-Markopoulou, O |
en |
dc.date.accessioned |
2014-03-01T01:24:32Z |
|
dc.date.available |
2014-03-01T01:24:32Z |
|
dc.date.issued |
2006 |
en |
dc.identifier.issn |
0920-654X |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/17316 |
|
dc.subject |
Binding affinity |
en |
dc.subject |
CCR5 |
en |
dc.subject |
QSAR |
en |
dc.subject |
Virtual screening |
en |
dc.subject.classification |
Biochemistry & Molecular Biology |
en |
dc.subject.classification |
Biophysics |
en |
dc.subject.classification |
Computer Science, Interdisciplinary Applications |
en |
dc.subject.other |
1 (3,3 diphenylpropyl)piperidinylphenylacetamide derivative |
en |
dc.subject.other |
1 [1 (3,3 diphenylpropyl)piperidin 4 yl] 2 hydroxy 1 isobutyl 3 [5 (methylsulfonyl)pyrazin 2 yl]guanidine |
en |
dc.subject.other |
1 [1 [3 (9h carbazol 9 yl) propyl]piperidin 4 yl] 2 hydroxy 1 isobutyl 3 [5 (methylsulfonyl)pyrazin 2 yl]guanidine |
en |
dc.subject.other |
acetanilide derivative |
en |
dc.subject.other |
chemokine receptor CCR5 |
en |
dc.subject.other |
guanidine derivative |
en |
dc.subject.other |
n [ 1 (3,3 diphenylpropyl)piperidin 4 yl] n methyl 2 [4 (methylsulfonyl) phenyl]acetamide |
en |
dc.subject.other |
n [1 (3,3 diphenylpropyl)piperidin 4 yl] n methyl 2 [4 (methylsulfonyl)phenyl]acetamide |
en |
dc.subject.other |
unclassified drug |
en |
dc.subject.other |
accuracy |
en |
dc.subject.other |
article |
en |
dc.subject.other |
computer program |
en |
dc.subject.other |
conformational transition |
en |
dc.subject.other |
cost effectiveness analysis |
en |
dc.subject.other |
drug protein binding |
en |
dc.subject.other |
mathematical analysis |
en |
dc.subject.other |
methodology |
en |
dc.subject.other |
molecular model |
en |
dc.subject.other |
multiple linear regression analysis |
en |
dc.subject.other |
predictive validity |
en |
dc.subject.other |
priority journal |
en |
dc.subject.other |
protein function |
en |
dc.subject.other |
protein structure |
en |
dc.subject.other |
quantitative structure activity relation |
en |
dc.subject.other |
receptor affinity |
en |
dc.subject.other |
screening test |
en |
dc.subject.other |
statistical significance |
en |
dc.subject.other |
virtual reality |
en |
dc.subject.other |
Algorithms |
en |
dc.subject.other |
Amides |
en |
dc.subject.other |
Benzeneacetamides |
en |
dc.subject.other |
Binding, Competitive |
en |
dc.subject.other |
Drug Design |
en |
dc.subject.other |
Guanidines |
en |
dc.subject.other |
Linear Models |
en |
dc.subject.other |
Models, Molecular |
en |
dc.subject.other |
Molecular Structure |
en |
dc.subject.other |
Piperidines |
en |
dc.subject.other |
Quantitative Structure-Activity Relationship |
en |
dc.subject.other |
Receptors, CCR5 |
en |
dc.title |
Investigation of substituent effect of 1-(3,3-diphenylpropyl)-piperidinyl phenylacetamides on CCR5 binding affinity using QSAR and virtual screening techniques |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1007/s10822-006-9038-2 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1007/s10822-006-9038-2 |
en |
heal.language |
English |
en |
heal.publicationDate |
2006 |
en |
heal.abstract |
A linear quantitative-structure activity relationship model is developed in this work using Multiple Linear Regression Analysis as applied to a series of 51 1-(3,3-diphenylpropyl)-piperidinyl phenylacetamides derivatives with CCR5 binding affinity. For the selection of the best variables the Elimination Selection-Stepwise Regression Method (ES-SWR) is utilized. The predictive ability of the model is evaluated against a set of 13 compounds. Based on the produced QSAR model and an analysis on the domain of its applicability, the effects of various structural modifications on biological activity are investigated. The study leads to a number of guanidine derivatives with significantly improved predicted activities. © Springer Science+Business Media, Inc. 2006. |
en |
heal.publisher |
SPRINGER |
en |
heal.journalName |
Journal of Computer-Aided Molecular Design |
en |
dc.identifier.doi |
10.1007/s10822-006-9038-2 |
en |
dc.identifier.isi |
ISI:000238342700002 |
en |
dc.identifier.volume |
20 |
en |
dc.identifier.issue |
2 |
en |
dc.identifier.spage |
83 |
en |
dc.identifier.epage |
95 |
en |