Results 21 to 30 of about 36,144 (247)

QSAR based modeling on a series of α-hydroxy amides as a novel class of bradykinin B1 selective antagonists

open access: yesJournal of Saudi Chemical Society, 2010
G-protein coupled receptors like Bradykinin (BK) B1 represent a potential treatment route for chronic pain and inflammation. Quantitative structure activity relationship has been performed on a series of α-hydroxy amides as a novel class of bradykinin B1
A.K. Srivastava   +3 more
doaj   +1 more source

Molecular modeling of 8-methoxy quinolone analogues by using quantitative structure activity relationship

open access: yesJournal of Saudi Chemical Society, 2010
Quantitative structure activity relationship (QSAR) studies on a series of 8-methoxy quinolone are found to correlate well with steric parameters and electronic parameter.
A.K. Srivastava   +3 more
doaj   +1 more source

Mixed-model QSAR at the glucocorticoid and liver X receptors [PDF]

open access: yes, 2009
The presence of hormonally active compounds in the biosphere has become a worldwide environmental concern, and measures such as policy acts and regulations try to address the problem, both in Europe and in the United States.
Spreafico, Morena
core   +1 more source

QSAR-Co: An Open Source Software for Developing Robust Multitasking or Multitarget Classification-Based QSAR Models

open access: yes, 2019
Quantitative structure–activity relationships (QSAR) modeling is a well-known computational technique with wide applications in fields such as drug design, toxicity predictions, nanomaterials, etc. However, QSAR researchers still face certain problems to
Amit Kumar Halder   +7 more
core   +2 more sources

QSAR based modeling of hepatitis C virus NS5B inhibitors

open access: yesJournal of Saudi Chemical Society, 2010
QSAR analysis on a series of 13 derivatives of 5-hydroxy-3-(2H)-pyridazinone as hepatitis C virus NS5B polymerase inhibitors was performed. The inhibitory activities of these compounds were found to increase with density (D), index of refractivity (Ior),
A.K. Srivastava   +3 more
doaj   +1 more source

Modeling of the Acute Toxicity of Benzene Derivatives by Complementary QSAR Methods [PDF]

open access: yes, 2013
A data set containing acute toxicity values (96-h LC50) of 69 substituted benzenes for fathead minnow (Pimephales promelas) was investigated with two Quantitative Structure- Activity Relationship (QSAR) models, either using or not using molecular ...
Duce, Celia   +3 more
core   +2 more sources

Quantitative structure activity relationship (QSAR) studies on a series of imidazole derivatives as novel ORL1 receptor antagonists

open access: yesJournal of Saudi Chemical Society, 2011
QSAR studies were performed on a series of imidazole derivatives as novel Orl1 receptor antagonists. Imidazole derivatives have been analyzed in relation to their physicochemical and molecular properties.
A.K. Srivastava, Neerja Shukla
doaj   +1 more source

2D-QSAR and 3D-QSAR Analyses for EGFR Inhibitors [PDF]

open access: yesBioMed Research International, 2017
Epidermal growth factor receptor (EGFR) is an important target for cancer therapy. In this study, EGFR inhibitors were investigated to build a two-dimensional quantitative structure-activity relationship (2D-QSAR) model and a three-dimensional quantitative structure-activity relationship (3D-QSAR) model. In the 2D-QSAR model, the support vector machine
Manman Zhao   +7 more
openaire   +2 more sources

A QSTR-Based Expert System to Predict Sweetness of Molecules

open access: yesFrontiers in Chemistry, 2017
This work describes a novel approach based on advanced molecular similarity to predict the sweetness of chemicals. The proposed Quantitative Structure-Taste Relationship (QSTR) model is an expert system developed keeping in mind the five principles ...
Cristian Rojas   +7 more
doaj   +1 more source

A QSAR classification model of skin sensitization potential based on improving binary crow search algorithm [PDF]

open access: yes, 2020
Classifying of skin sensitization using the quantitative structure-activityrelationship (QSAR) model is important. Applying descriptor selection isessential to improve the performance of the classification task.
Algamal, Zakariya Yahya; University of Mosul   +1 more
core   +1 more source

Home - About - Disclaimer - Privacy