2D-QSAR study of some 2,5-diaminobenzophenone farnesyltransferase inhibitors by different chemometric methods
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
2D-QSAR study of some 2,5-diaminobenzophenone farnesyltransferase inhibitors by different chemometric methods ; Vol. 14, 2015
EXCLI journal ; Vol. 14, 2015
- Classification
-
Medizin, Gesundheit
- Creator
-
Ghanbarzadeh, Saeed
Ghasemi, Saeed
Shayanfar, Ali
Ebrahimi-Najafabadi, Heshmatollah
- Handle
-
2003/34050
- URN
-
urn:nbn:de:101:1-2016052510807
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:49 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Ghanbarzadeh, Saeed
- Ghasemi, Saeed
- Shayanfar, Ali
- Ebrahimi-Najafabadi, Heshmatollah
Other Objects (12)
Computational modelling studies of some 1,3-thiazine derivatives as anti-influenza inhibitors targeting H1N1 neuraminidase via 2D-QSAR, 3D-QSAR, molecular docking, and ADMET predictions
QSAR analysis on tacrine-related acetylcholinesterase inhibitors
Synthese, Testung und 3D-QSAR von ABCG2-Inhibitoren
2D QSAR, design, docking study and ADMET of some N-aryl derivatives concerning inhibitory activity against Alzheimer disease
On some aspects of validation of predictive QSAR models
Design, synthesis, 2D-QSAR, molecular dynamic simulation, and biological evaluation of topiramate–phenolic acid conjugates as PPARγ inhibitors
CP-MLR directed QSAR study of carbonic anhydrase inhibitors: sulfonamide and sulfamate inhibitors
QSAR based model for discriminating EGFR inhibitors and non-inhibitors using Random forest
Investigation of BCRP-inhibitors using QSAR and machine learning methods
QSAR-driven rational design of novel DNA methyltransferase 1 inhibitors
Chemometric Analysis of Grapes
Rethinking 3D-QSAR
Computational modelling studies of some 1,3-thiazine derivatives as anti-influenza inhibitors targeting H1N1 neuraminidase via 2D-QSAR, 3D-QSAR, molecular docking, and ADMET predictions
QSAR analysis on tacrine-related acetylcholinesterase inhibitors
Synthese, Testung und 3D-QSAR von ABCG2-Inhibitoren
2D QSAR, design, docking study and ADMET of some N-aryl derivatives concerning inhibitory activity against Alzheimer disease
On some aspects of validation of predictive QSAR models
Design, synthesis, 2D-QSAR, molecular dynamic simulation, and biological evaluation of topiramate–phenolic acid conjugates as PPARγ inhibitors
CP-MLR directed QSAR study of carbonic anhydrase inhibitors: sulfonamide and sulfamate inhibitors
QSAR based model for discriminating EGFR inhibitors and non-inhibitors using Random forest
Investigation of BCRP-inhibitors using QSAR and machine learning methods
QSAR-driven rational design of novel DNA methyltransferase 1 inhibitors
Chemometric Analysis of Grapes
Rethinking 3D-QSAR
Computational modelling studies of some 1,3-thiazine derivatives as anti-influenza inhibitors targeting H1N1 neuraminidase via 2D-QSAR, 3D-QSAR, molecular docking, and ADMET predictions
QSAR analysis on tacrine-related acetylcholinesterase inhibitors
Synthese, Testung und 3D-QSAR von ABCG2-Inhibitoren
2D QSAR, design, docking study and ADMET of some N-aryl derivatives concerning inhibitory activity against Alzheimer disease
On some aspects of validation of predictive QSAR models
Design, synthesis, 2D-QSAR, molecular dynamic simulation, and biological evaluation of topiramate–phenolic acid conjugates as PPARγ inhibitors
CP-MLR directed QSAR study of carbonic anhydrase inhibitors: sulfonamide and sulfamate inhibitors
QSAR based model for discriminating EGFR inhibitors and non-inhibitors using Random forest
Investigation of BCRP-inhibitors using QSAR and machine learning methods
QSAR-driven rational design of novel DNA methyltransferase 1 inhibitors
Chemometric Analysis of Grapes