Author(s):
                        Yogesh Vaishnav,  Aloksingh Thakur,  Chanchal Deep Kaur,  Shekhar Verma,  Achal Mishra,  Sanmati Kumar Jain,  Piyush Ghode
                    
                    
                        Email(s):
                        yogesh446688@gmail.com 
                    
                      
                        DOI:
                        10.5958/0974-360X.2018.00697.2     
                    
  
                    
                        Address:
                        Yogesh Vaishnav1*, Aloksingh Thakur1, Chanchal Deep Kaur1, Shekhar Verma2, Achal Mishra3, Sanmati Kumar Jain4 , Piyush Ghode5
1Shri Rawatpurasarkar Institute of Pharmacy, Kumhari, Durg.490042
2University College of Pharmacy, Pt Deendayal Upadhyay Memorial Health Sciences and Ayush University, Raipur  Chhattisgarh.493661
3SSTC-SSGI-Faculty of Pharmaceutical Sciences, Bhilai (C.G.) 490020 India
4Smt. Sulochna Lakhanlal Trivedi Institute of Pharmaceutical Sciences, Guru Ghasidas Vishwavidyalaya, Koni, Bilaspur, Chhattisgarh 495009 India.
5School of Pharmacy and Technology Management, NMIMS, Shirpur Dist :Dhule (Maharashtra), 425405
*Corresponding Author
                    
                    
                        Published In:
                         
                        Volume - 11,     
                                Issue - 9,    
                                Year - 2018
                        
                    
					
					
					
				
                 
				
                					
                    
                    
                        ABSTRACT: 
                        Quantitative structure–activity relationship (QSAR) has been established for 29 molecules of N, N- diphenylureas, reported to inhibit the binding of RANTES to membranes prepared from Chinese hamster ovary (CHO) cells stably expressing recombinant human CCR5. Partial Least Square Regressions (PLSR) was used to   generate the relationship between biological activity and calculated descriptors. Model with good statistical qualities was developed using the software VLIFE MDS 3.0. Validation of the model was done bycross validation, randomization, and external test set prediction. On the basis of the QSAR model, we calculated the activity and found that theexisting compounds were potent.
                    
                    
                    
                 
				
				
                    
                    
                        Cite this article:
                        
                        Yogesh Vaishnav, Aloksingh Thakur, Chanchal Deep Kaur, Shekhar Verma, Achal Mishra, Sanmati Kumar Jain , Piyush Ghode. QSAR Analysis of some N, N-diphenyl urea derivatives as CCR5 Receptor Antagonist. Research J. Pharm. and Tech 2018; 11(9): 3802-3810. doi: 10.5958/0974-360X.2018.00697.2
						
						 Cite(Electronic):
						 
						 Yogesh Vaishnav, Aloksingh Thakur, Chanchal Deep Kaur, Shekhar Verma, Achal Mishra, Sanmati Kumar Jain , Piyush Ghode. QSAR Analysis of some N, N-diphenyl urea derivatives as CCR5 Receptor Antagonist. Research J. Pharm. and Tech 2018; 11(9): 3802-3810. doi: 10.5958/0974-360X.2018.00697.2   Available on: https://rjptonline.org/AbstractView.aspx?PID=2018-11-9-12