Current Trends in Docking Methodologies

2016 ◽  
pp. 320-338 ◽  
Author(s):  
Shubhandra Tripathi ◽  
Akhil Kumar ◽  
Amandeep Kaur Kahlon ◽  
Ashok Sharma
Keyword(s):  
Free Energy ◽  
Molecular Docking ◽  
Binding Affinity ◽  
Binding Free Energy ◽  
Energy Calculation ◽  
Molecular Binding ◽  
New Horizons ◽  
Current Trends ◽  
Complex Scheme ◽  
Dynamics Simulations

Molecular docking was earlier considered to predict the binding affinity of the receptor and ligand molecules. With the progress in computational power and developing approaches, new horizons are now opening for accurate prediction of molecular binding affinity. In the current book chapter, recent strategies for Computer-Aided Drug Designing (CADD) including virtual screening and molecular docking, encompassing molecular dynamics simulations, and binding free energy calculation methods are discussed. Brief overview of different binding free energy methods MMPBSA, MMGBSA, LIE and TI have also been given along with the recent Relaxed Complex Scheme protocol.

Current Trends in Docking Methodologies

Oncology ◽  
2017 ◽  
pp. 829-847
Author(s):  
Shubhandra Tripathi ◽  
Akhil Kumar ◽  
Amandeep Kaur Kahlon ◽  
Ashok Sharma
Keyword(s):  
Free Energy ◽  
Molecular Docking ◽  
Binding Affinity ◽  
Binding Free Energy ◽  
Energy Calculation ◽  
Molecular Binding ◽  
New Horizons ◽  
Current Trends ◽  
Complex Scheme ◽  
Dynamics Simulations

Molecular docking was earlier considered to predict the binding affinity of the receptor and ligand molecules. With the progress in computational power and developing approaches, new horizons are now opening for accurate prediction of molecular binding affinity. In the current book chapter, recent strategies for Computer-Aided Drug Designing (CADD) including virtual screening and molecular docking, encompassing molecular dynamics simulations, and binding free energy calculation methods are discussed. Brief overview of different binding free energy methods MMPBSA, MMGBSA, LIE and TI have also been given along with the recent Relaxed Complex Scheme protocol.

scholarly journals Drug Repurposing Against SARS-CoV-2 Using E-Pharmacophore Based Virtual Screening and Molecular Docking with Main Protease as the Target

2020 ◽  
Author(s):  
arun kumar ◽  
Sharanya C.S ◽  
Abhithaj J ◽  
Dileep Francis ◽  
Sadasivan C
Keyword(s):  
Free Energy ◽  
Molecular Docking ◽  
Drug Target ◽  
Binding Free Energy ◽  
Drug Repurposing ◽  
Energy Calculation ◽  
Viral Protease ◽  
Energy Estimation ◽  
Main Protease ◽  
Potential Inhibitors

Since its first report in December 2019 from China the COVID-19 pandemic caused by the beta-coronavirus SARS-CoV-2 has spread at an alarming pace infecting about 26 lakh, and claiming the lives of more than 1.8 lakh individuals across the globe. Although social quarantine measures have succeeded in containing the spread of the virus to some extent, the lack of a clinically approved vaccine or drug remains the biggest bottleneck in combating the pandemic. Drug repurposing can expedite the process of drug development by identifying known drugs which are effective against SARS-CoV-2. The SARS-CoV-2 main protease is a promising drug target due to its indispensable role in viral multiplication inside the host. In the present study an E-pharmacophore hypothesis was generated using the crystal structure of the viral protease in complex with an imidazole carbaximide inhibitor as the drug target. Drugs available in the superDRUG2 database were used to identify candidate drugs for repurposing. The hits were further screened using a structure based approach involving molecular docking at different precisions. The most promising drugs were subjected to binding free energy estimation using MM-GBSA. Among the 4600 drugs screened 17 drugs were identified as candidate inhibitors of the viral protease based on the glide scores obtained from molecular docking. Binding free energy calculation showed that six drugs viz, Binifibrate, Macimorelin acetate, Bamifylline, Rilmazafon, Afatinib and Ezetimibe can act as potential inhibitors of the viral protease.

scholarly journals Understanding the microscopic binding mechanism of hydroxylated and sulfated polybrominated diphenyl ethers with transthyretin by molecular docking, molecular dynamics simulations and binding free energy calculations

2017 ◽  
Vol 13 (4) ◽  
pp. 736-749 ◽  
Author(s):  
Huiming Cao ◽  
Yuzhen Sun ◽  
Ling Wang ◽  
Chunyan Zhao ◽  
Jianjie Fu ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Free Energy ◽  
Molecular Docking ◽  
Polybrominated Diphenyl Ethers ◽  
Binding Free Energy ◽  
Free Energy Calculations ◽  
Binding Mechanism ◽  
Diphenyl Ethers ◽  
Binding Free Energy Calculations ◽  
Dynamics Simulations

The binding of TTR with sulfated-PBDEs and OH-PBDEs shows different molecular recognition mechanisms.

scholarly journals Drug Repurposing Against SARS-CoV-2 Using E-Pharmacophore Based Virtual Screening and Molecular Docking with Main Protease as the Target

2020 ◽  
Author(s):  
arun kumar ◽  
Sharanya C.S ◽  
Abhithaj J ◽  
Dileep Francis ◽  
Sadasivan C
Keyword(s):  
Free Energy ◽  
Molecular Docking ◽  
Drug Target ◽  
Binding Free Energy ◽  
Drug Repurposing ◽  
Energy Calculation ◽  
Viral Protease ◽  
Energy Estimation ◽  
Main Protease ◽  
Potential Inhibitors

Since its first report in December 2019 from China the COVID-19 pandemic caused by the beta-coronavirus SARS-CoV-2 has spread at an alarming pace infecting about 26 lakh, and claiming the lives of more than 1.8 lakh individuals across the globe. Although social quarantine measures have succeeded in containing the spread of the virus to some extent, the lack of a clinically approved vaccine or drug remains the biggest bottleneck in combating the pandemic. Drug repurposing can expedite the process of drug development by identifying known drugs which are effective against SARS-CoV-2. The SARS-CoV-2 main protease is a promising drug target due to its indispensable role in viral multiplication inside the host. In the present study an E-pharmacophore hypothesis was generated using the crystal structure of the viral protease in complex with an imidazole carbaximide inhibitor as the drug target. Drugs available in the superDRUG2 database were used to identify candidate drugs for repurposing. The hits were further screened using a structure based approach involving molecular docking at different precisions. The most promising drugs were subjected to binding free energy estimation using MM-GBSA. Among the 4600 drugs screened 17 drugs were identified as candidate inhibitors of the viral protease based on the glide scores obtained from molecular docking. Binding free energy calculation showed that six drugs viz, Binifibrate, Macimorelin acetate, Bamifylline, Rilmazafon, Afatinib and Ezetimibe can act as potential inhibitors of the viral protease.

The Interaction of Isoflavone Phytoestrogens with ERα and ERβ by Molecular Docking and Molecular Dynamics Simulations

2020 ◽  
Vol 16 ◽  
Author(s):  
Ting Wang ◽  
Yaquan Liu ◽  
Xuming Zhuang ◽  
Feng Luan ◽  
Chunyan Zhao
Keyword(s):  
Molecular Dynamics ◽  
Free Energy ◽  
Molecular Docking ◽  
Estrogen Receptors ◽  
Molecular Dynamics Simulations ◽  
Binding Free Energy ◽  
Docking Studies ◽  
The Body ◽  
Factors Affecting ◽  
Dynamics Simulations

Aim and Objective: Isoflavone phytoestrogens, which commonly present in natural plants, are closely related to human health. The combination of them with estrogen receptors in the body can play a more important role in the prevention and treatment of cardiovascular diseases, cancer, and menopausal diseases. This research is conducted for the wider application of isoflavone phytoestrogens in various fields. Method: In this study, molecular docking studies and molecular dynamics simulations were performed to explore the affinities and interaction between three typical isoflavone phytoestrogens and estrogen receptors (ERα and ERβ), respectively. Results and Conclusion: Molecular docking results showed that the affinity of genistein, daidzein and formononetin was different, and the ligand structures and hydrogen bonds force were the main factors affecting the binding abilities. The calculation of the binding free energy shows the stability of the complex and the contribution of various interactions to the binding free energy. The decomposition of binding free energy indicates that van der Waals interaction and electrostatic interaction promote the binding of the complex, which are in agreement with the docking studies.

Molecular Modeling Approach to Investigate the Intercalation of Phthalates and Their Metabolites in DNA Macromolecules

2019 ◽  
Vol 16 (2) ◽  
pp. 373-380 ◽  
Author(s):  
Tatiane P. Rodrigues ◽  
Jorddy N. Cruz ◽  
Tiago S. Arouche ◽  
Tais S. S. Pereira ◽  
Wanessa A. Costa ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Free Energy ◽  
Molecular Docking ◽  
Molecular Modeling ◽  
Molecular Dynamics Simulations ◽  
Binding Free Energy ◽  
Van Der Waals ◽  
Genetic Material ◽  
Ligand Interaction ◽  
Dynamics Simulations

Recent studies have reported that phthalates are capable of causing mutations and other changes in the genetic material. This study aimed to investigate the molecular interactions between phthalate di(2-ethylhexyl) phthalate (DEHP) and its metabolites monobutyl phthalate (MBP) and monoethyl phthalate (MEP), interacting with DNA. The research was conducted using molecular modeling techniques such as molecular docking and molecular dynamics simulations. Molecular docking revealed that the DEHP, MBP, and MEP are able to establish hydrogen interactions with various nucleotide bases. Molecular dynamics simulations revealed that these molecules interacted with the DNA, and the binding free energy results demonstrated that the DNA-ligand interaction has favorable free energy. The values for free binding energy were as follows: DNA–DEHP, –21.66 kcal/mol; DNA–MBP, –17.29 kcal/mol; and DNA–MEP, –20.13 kcal/mol. For these three systems, the contributions of van der Waals, electrostatic, and nonpolar solvation energy were favorable for the interaction. The van der Waals interactions contributed the major energy to the intercalation of the binders.

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