An overview of in silico methods used in the design of VEGFR-2 inhibitors as anticancer agents

2022 ◽  
Vol 0 (0) ◽  
Author(s):  
Richie R. Bhandare ◽  
Bulti Bakchi ◽  
Dilep Kumar Sigalapalli ◽  
Afzal B. Shaik

Abstract VEGFR-2 enzyme known for physiological functioning of the cell also involves in pathological angiogenesis and tumor progression. Recently VEGFR-2 has gained the interest of researchers all around the world as a promising target for the drug design and discovery of new anticancer agents. VEGFR2 inhibitors are a major class of anticancer agents used for clinical purposes. In silico methods like virtual screening, molecular docking, molecular dynamics, pharmacophore modeling, and other computational approaches help extensively in identifying the main molecular interactions necessary for the binding of the small molecules with the respective protein target to obtain the expected pharmacological potency. In this chapter, we discussed some representative case studies of in silico techniques used to determine molecular interactions and rational drug design of VEGFR-2 inhibitors as anticancer agents.

2009 ◽  
Vol 9 (3) ◽  
pp. 304-318 ◽  
Author(s):  
TAP de Beer ◽  
GA Wells ◽  
PB Burger ◽  
F. Joubert ◽  
E. Marechal ◽  
...  

2017 ◽  
Vol 90 (4) ◽  
pp. 609-617 ◽  
Author(s):  
Yan-yan Chu ◽  
He-juan Cheng ◽  
Zhen-hua Tian ◽  
Jian-chun Zhao ◽  
Gang Li ◽  
...  

2016 ◽  
Vol 122 ◽  
pp. 178-184 ◽  
Author(s):  
Yaxue Zhao ◽  
Zhongli Wang ◽  
Jianchen Zhang ◽  
Huchen Zhou

2019 ◽  
Vol 26 (21) ◽  
pp. 3874-3889 ◽  
Author(s):  
Jelica Vucicevic ◽  
Katarina Nikolic ◽  
John B.O. Mitchell

Background: Computer-Aided Drug Design has strongly accelerated the development of novel antineoplastic agents by helping in the hit identification, optimization, and evaluation. Results: Computational approaches such as cheminformatic search, virtual screening, pharmacophore modeling, molecular docking and dynamics have been developed and applied to explain the activity of bioactive molecules, design novel agents, increase the success rate of drug research, and decrease the total costs of drug discovery. Similarity, searches and virtual screening are used to identify molecules with an increased probability to interact with drug targets of interest, while the other computational approaches are applied for the design and evaluation of molecules with enhanced activity and improved safety profile. Conclusion: In this review are described the main in silico techniques used in rational drug design of antineoplastic agents and presented optimal combinations of computational methods for design of more efficient antineoplastic drugs.


Author(s):  
Kamonpan Sanachai ◽  
Panupong Mahalapbutr ◽  
Vannajan Sanghiran Lee ◽  
Thanyada Rungrotmongkol ◽  
Supot Hannongbua

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