نتایج جستجو برای: qsar model

تعداد نتایج: 2106830  

2005
Aynur O. Aptula Nina G. Jeliazkova Terry W. Schultz Mark T. D. Cronin

The process of validation of computational models (e.g., QSARs) may become the most important step in their development. Different requirements for the reliability and predictability of QSAR models have been described in the literature. Despite these formal recommendations there are few practical rules as to when to cease adding variables to a QSAR (i.e., what is an appropriate level of complex...

2016
Siddharth Sinha Sukriti Goyal Pallavi Somvanshi Abhinav Grover

Spinocerebellar ataxia (SCA-2) type-2 is a rare neurological disorder among the nine polyglutamine disorders, mainly caused by polyQ (CAG) trinucleotide repeats expansion within gene coding ataxin-2 protein. The expanded trinucleotide repeats within the ataxin-2 protein sequesters transcriptional cofactors i.e., CREB-binding protein (CBP), Ataxin-2 binding protein 1 (A2BP1) leading to a state o...

Journal: :Journal of chemical information and modeling 2006
Minghu Song Matthew Clark

It has been recognized that drug-induced QT prolongation is related to blockage of the human ether-a-go-go-related gene (hERG) ion channel. Therefore, it is prudent to evaluate the hERG binding of active compounds in early stages of drug discovery. In silico approaches provide an economic and quick method to screen for potential hERG liability. A diverse set of 90 compounds with hERG IC(50) inh...

2012
Richard D. Cramer

QSAR approaches, including recent advances in 3D-QSAR, are advantageous during the lead optimization phase of drug discovery and complementary with bioinformatics and growing data accessibility. Hints for future QSAR practitioners are also offered.

Journal: :Techno 2023

Research on the activity of eugenol derived compounds as antimicrobials using qualitative structure-activity relationship (QSAR) model has been conducted. Molecular structure modeling was executed computationally ChemDraw Ultra 12.0 program package. Geometry optimization performed AM1 semi-empirical method to stabilize with least energy level. Calculations hydrophobic, electronic, and steric de...

2012
REVATHI A. GUPTA SATISH G. KASKHEDIKAR

A series of novel N'-((5-nitrofuran-2-yl/4-nitrophenyl) methylene) substituted hydrazides (3a-3i & 4a-4i) was synthesized, and tested for in vitro antimycobacterial activity, and their quantitative structure activity relationship (QSAR) of hydrazide derivatives is reported here. The results of anti-mycobacterial activity study indicated that the presence of halogen substitution at benzohydrazid...

Journal: :Molecules 2012
Zhongsheng Yi Aiqian Zhang

A large number of descriptors were employed to characterize the molecular structure of 53 natural, synthetic, and environmental chemicals which are suspected of disrupting endocrine functions by mimicking or antagonizing natural hormones and may thus pose a serious threat to the health of humans and wildlife. In this work, a robust quantitative structure-activity relationship (QSAR) model with ...

Journal: :Molecules 2017
Xiao Li Ning Li Zhenyu Sui Kaishun Bi Zuojing Li

Diterpenoid alkaloids are extracted from plants. These compounds have broad biological activities, including effects on the cardiovascular system, anti-inflammatory and analgesic actions, and anti-tumor activity. The anti-inflammatory activity was determined by carrageenan-induced rat paw edema and experimental trauma in rats. The number of studies focused on the determination, quantitation and...

2005
Deborah L. Crittenden Mary Chebib Meredith J.T. Jordan

The quantitative structure–activity relationship (QSAR) model constructed in this work represents the first quantitative investigation into agonist binding at GABAC receptors. This model is based upon the three-dimensional structures of (g-aminobutyric acid (GABA) and 12 other biologically active GABA analogues. These structures are obtained by geometry optimization and conformational explorati...

2012
Ronghai He Haile Ma Weirui Zhao Wenjuan Qu Jiewen Zhao Lin Luo Wenxue Zhu

A quantitative structure-activity relationship (QSAR) model of angiotensin-converting enzyme- (ACE-) inhibitory peptides was built with an artificial neural network (ANN) approach based on structural or activity data of 58 dipeptides (including peptide activity, hydrophilic amino acids content, three-dimensional shape, size, and electrical parameters), the overall correlation coefficient of the...

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