Pharmacophore Generation and 3D-QSAR Model Development Using PHASE

Author(s):  
Eleni Vrontaki ◽  
Antonios Kolocouris
2006 ◽  
Vol 20 (10-11) ◽  
pp. 647-671 ◽  
Author(s):  
Steven L. Dixon ◽  
Alexander M. Smondyrev ◽  
Eric H. Knoll ◽  
Shashidhar N. Rao ◽  
David E. Shaw ◽  
...  

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Luc Calvin Owono Owono ◽  
Melalie Keita ◽  
Eugene Megnassan ◽  
Vladimir Frecer ◽  
Stanislav Miertus

We design here new nanomolar antituberculotics, inhibitors ofMycobacterium tuberculosisthymidine monophosphate kinase (TMPKmt), by means of structure-based molecular design. 3D models of TMPKmt-inhibitor complexes have been prepared from the crystal structure of TMPKmtcocrystallized with the natural substrate deoxythymidine monophosphate (dTMP) (1GSI) for a training set of 15 thymidine analogues (TMDs) with known activity to prepare a QSAR model of interaction establishing a correlation between the free energy of complexation and the biological activity. Subsequent validation of the predictability of the model has been performed with a 3D QSAR pharmacophore generation. The structural information derived from the model served to design new subnanomolar thymidine analogues. From molecular modeling investigations, the agreement between free energy of complexation (ΔΔGcom) andKivalues explains 94% of the TMPKmtinhibition (pKi=-0.2924ΔΔGcom+3.234;R2=0.94) by variation of the computedΔΔGcomand 92% for the pharmacophore (PH4) model (pKi=1.0206×pKipred-0.0832,  R2=0.92). The analysis of contributions from active site residues suggested substitution at the 5-position of pyrimidine ring and various groups at the 5′-position of the ribose. The best inhibitor reached a predictedKiof 0.155 nM. The computational approach through the combined use of molecular modeling and PH4 pharmacophore is helpful in targeted drug design, providing valuable information for the synthesis and prediction of activity of novel antituberculotic agents.


2012 ◽  
Vol 9 (10) ◽  
pp. 899-914 ◽  
Author(s):  
Mahesh Kumar Teli ◽  
Pradeep Hanumanthappa ◽  
Rajanikant G. Krishnamurthy

2012 ◽  
Vol 8 (3) ◽  
pp. 436-451 ◽  
Author(s):  
Pradeep Hanumanthappa ◽  
Mahesh K. Teli ◽  
Rajanikant G. Krishnamurthy
Keyword(s):  
3D Qsar ◽  

2021 ◽  
Vol 16 (10) ◽  
pp. 50-58
Author(s):  
Ali Qusay Khalid ◽  
Vasudeva Rao Avupati ◽  
Husniza Hussain ◽  
Tabarek Najeeb Zaidan

Dengue fever is a viral infection spread by the female mosquito Aedes aegypti. It is a virus spread by mosquitoes found all over the tropics with risk levels varying depending on rainfall, relative humidity, temperature and urbanization. There are no specific medications that can be used to treat the condition. The development of possible bioactive ligands to combat Dengue fever before it becomes a pandemic is a global priority. Few studies on building three-dimensional quantitative structure-activity relationship (3D QSAR) models for anti-dengue agents have been reported. Thus, we aimed at building a statistically validated atom-based 3D-QSAR model using bioactive ligands reported to possess significant anti-dengue properties. In this study, the Schrodinger PhaseTM atom-based 3D QSAR model was developed and was validated using known anti-dengue properties as ligand data. This model was also tested to see if there was a link between structural characteristics and anti-dengue activity of a series of 3-acyl-indole derivatives. The established 3D QSAR model has strong predictive capacity and is statistically significant [Model: R2 Training Set = 0.93, Q2 (R2 Test Set) = 0.72]. In addition, the pharmacophore characteristics essential for the reported anti-dengue properties were explored using combined effects contour maps (coloured contour maps: blue: positive potential and red: negative potential) of the model. In the pathway of anti-dengue drug development, the model could be included as a virtual screening method to predict novel hits.


Author(s):  
Avineesh Singh ◽  
Harish Rajak

Objective: Histone deacetylase inhibitors (HDACi) have four essential pharmacophores as cap group, connecting unit, a linker moiety and zinc binding group for their anticancer and histone deacetylase (HDAC) inhibition activity. On the basis of this fact, the objective of this research was to evaluate the exact role of pyrazole nucleus as connecting unit and its role in the development of newer HDACi.Methods: Ligand and structure-based computer-aided drug design strategies such as pharmacophore and atom based 3D QSAR modelling, molecular docking and energetic based pharmacophore mapping have been frequently applied to design newer analogs in a precise manner. Herein, we have applied these combinatorial approaches to develop the structure-activity correlation among novel pyrazole-based derivatives.Results: the Pharmacophore-based 3D-QSAR model was developed employing Phase module and e-pharmacophore on compound 1. This 3D-QSAR model provides fruitful information regarding favourable and unfavourable substitution on pyrazole-based analogs for HDAC1 inhibition activity. Molecular docking studies indicated that all the pyrazole derivatives bind with HDAC1 proteins and showed critical hydrophobic interaction with 5ICN and 4BKX HDAC1 proteins.Conclusion: The outcome of the present research work clearly indicated that pyrazole nucleus added an essential hydrophobic feature in cap group and could be employed to design the ligand molecules more accurately.


RSC Advances ◽  
2016 ◽  
Vol 6 (113) ◽  
pp. 112704-112711 ◽  
Author(s):  
Yu-Jie Zhu ◽  
Xiao-Feng Guo ◽  
Zhi-Jin Fan ◽  
Lai Chen ◽  
Liu-Yong Ma ◽  
...  

Insecticidal and fungicidal active thiazole-containing tetrahydropyridine derivatives with accurately predicted 3D QSAR model againstAphis LaburniKaltenbach and predicted potential anti-fungus target of fumarate reductase without cross resistance were synthesized.


Sign in / Sign up

Export Citation Format

Share Document