- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
QSAR-driven rational design of novel DNA methyltransferase 1 inhibitors ; Vol. 19 2020
EXCLI journal ; Vol. 19 2020
- Classification
-
Medizin, Gesundheit
- Creator
-
Phanus-umporn, Chuleeporn
Prachayasittikul, Veda
Nantasenamat, Chanin
Prachayasittikul, Supaluk
Prachayasittikul, Virapong
- Handle
-
2003/39870
- URN
-
urn:nbn:de:101:1-2020121802424235805360
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:36 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
- Phanus-umporn, Chuleeporn
- Prachayasittikul, Veda
- Nantasenamat, Chanin
- Prachayasittikul, Supaluk
- Prachayasittikul, Virapong
Other Objects (12)
DFT and QSAR study of Catechol-O-methyltransferase (COMT) as inhibitors for Parkinson’s disease treatment
QSAR and molecular docking for the search of AOX inhibitors: a rational drug discovery approach
QSAR analysis on tacrine-related acetylcholinesterase inhibitors
Synthese, Testung und 3D-QSAR von ABCG2-Inhibitoren
Nucleoside‐Driven Specificity of DNA Methyltransferase **
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
Rethinking 3D-QSAR
Automating QSAR expertise
Phosphorhydrazides as urease and acetylcholinesterase inhibitors: biological evaluation and QSAR study
Methodology of aiQSAR: a group-specific approach to QSAR modelling
DFT and QSAR study of Catechol-O-methyltransferase (COMT) as inhibitors for Parkinson’s disease treatment
QSAR and molecular docking for the search of AOX inhibitors: a rational drug discovery approach
QSAR analysis on tacrine-related acetylcholinesterase inhibitors
Synthese, Testung und 3D-QSAR von ABCG2-Inhibitoren
Nucleoside‐Driven Specificity of DNA Methyltransferase **
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
Rethinking 3D-QSAR
Automating QSAR expertise
Phosphorhydrazides as urease and acetylcholinesterase inhibitors: biological evaluation and QSAR study
Methodology of aiQSAR: a group-specific approach to QSAR modelling
DFT and QSAR study of Catechol-O-methyltransferase (COMT) as inhibitors for Parkinson’s disease treatment
QSAR and molecular docking for the search of AOX inhibitors: a rational drug discovery approach
QSAR analysis on tacrine-related acetylcholinesterase inhibitors
Synthese, Testung und 3D-QSAR von ABCG2-Inhibitoren
Nucleoside‐Driven Specificity of DNA Methyltransferase **
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
Rethinking 3D-QSAR
Automating QSAR expertise
Phosphorhydrazides as urease and acetylcholinesterase inhibitors: biological evaluation and QSAR study