Andrographolide derivatives were shown to inhibit alpha-glucosidase. To investigate the relationship between activities and structures of andrographolide derivatives, a training set was chosen from 25 andrographolide derivatives by the principal component analysis (PCA) method, and a quantitative structure-activity relationship (QSAR) was established by 2D and 3D QSAR methods. The cross-validat...

     Histamine H3 receptor subtype has been the target of several recent drug development programs. Quantitative structure-activity relationship (QSAR) methods are used to predict the pharmaceutically relevant properties of drug candidates whenever it is applicable. The aim of this study was to compare the predictive powers of three different QSAR techniques, namely, multiple linear regression ...

     Histamine H3 receptor subtype has been the target of several recent drug development programs. Quantitative structure-activity relationship (QSAR) methods are used to predict the pharmaceutically relevant properties of drug candidates whenever it is applicable. The aim of this study was to compare the predictive powers of three different QSAR techniques, namely, multiple linear regression ...

Gap junctions (GJs) made of connexin-43 (Cx43) are necessary for the conduction electrical impulses in heart. Modulation Cx43 GJ activity may be beneficial treatment cardiac arrhythmias and other dysfunctions. The search novel GJ-modulating agents using molecular docking allows accurate prediction binding affinities ligands, which, unfortunately, often poorly correlate with their potencies. obj...

4D quantitative structure-activity relationship (QSAR) and 3D pharmacophore models were built and investigated for cytotoxicity using a training set of 25 lamellarins against human hormone dependent T47D breast cancer cells. Receptor-independent (RI) 4D QSAR models were first constructed from the exploration of eight possible receptor-binding alignments for the entire training set. Since the tr...

Abstract: Background and Aim: In an effort of drug development in the area HIV, present work deals with 2D 3D QSAR thiazolidinone derivatives against HIV-RT activity as a powerful method for elucidation relationships between structure activity. Materials Methods: were performed using MLR SA kNN respectively. Models which had higher predictability generated indicated from their statistical param...

A new computer program has been designed to build and analyze quantitative-structure activity relationship (QSAR) models through regression analysis. The user is provided with a range of regression and validation techniques. The emphasis of the program lies mainly in the validation of QSAR models in chemical applications. ARTE-QSAR produces an easy interpretable output from which the user can c...

Insubria QSAR PaDEL-Descriptor model for prediction of Esters toxicity in Daphnia magna 1.2.Other related models: E.Papa, F. Battaini, P.Gramatica. Ranking of aquatic toxicity of esters modelled by QSAR, Chemosphere (58), 2005, 559-570.[9] 1.3.Software coding the model: [1]PaDEL-Descriptor 2.18 A software to calculate molecular descriptors and fingerprints http://padel.nus.edu.sg/software/padel...

B-Raf kinase is an important target in treatment of cancers. In order to design and find potent B-Raf inhibitors (BRIs), 3D pharmacophore models were created using the Genetic Algorithm with Linear Assignment of Hypermolecular Alignment of Database (GALAHAD). The best pharmacophore model obtained which was used in effective alignment of the data set contains two acceptor atoms, three donor atom...

A combinatorial quantitative structure-activity relationships (Combi-QSAR) approach has been developed and applied to a data set of 98 ambergris fragrance compounds with complex stereochemistry. The Combi-QSAR approach explores all possible combinations of different independent descriptor collections and various individual correlation methods to obtain statistically significant models with high...