Fast recovery of free energy landscapes via diffusion-map-directed molecular dynamics

2014 ◽  
Vol 16 (36) ◽  
pp. 19181-19191 ◽  
Author(s):  
Jordane Preto ◽  
Cecilia Clementi
Keyword(s):  
Molecular Dynamics ◽  
Free Energy ◽  
Adaptive Sampling ◽  
Energy Landscapes ◽  
Fast Recovery ◽  
Sampling Algorithm ◽  
Diffusion Map ◽  
Macromolecular Systems ◽  
Free Energy Landscapes

An adaptive sampling algorithm is proposed to rapidly reconstruct free-energy landscapes of macromolecular systems.

scholarly journals Free Energy Landscapes and Residue Network Analysis for Six SARS-CoV-2 Targets in Complex with Plausible Phytochemical Inhibitors from Withania Somnifera: 1 µS Molecular Dynamics Simulations

2021 ◽  
Author(s):  
Pratap Kumar Parida ◽  
Dipak Paul ◽  
Debamitra Chakravorty
Keyword(s):  
Molecular Dynamics ◽  
Free Energy ◽  
Molecular Dynamics Simulations ◽  
Withania Somnifera ◽  
Minimum Energy ◽  
Interaction Network ◽  
Energy Landscapes ◽  
Residue Interaction ◽  
Free Energy Landscapes ◽  
Dynamics Simulations

The pandemic is here to stay- evident from the second wave that is severely affecting global population. Though vaccination is now available, the population size restricts its efficacy, especially in the third world countries. Therefore, to avoid a third wave, natural preventive therapeutics are the need of the hour. In this work the efficiency of phytochemicals from <i>Withania somnifera</i> to bind to a total of six SARS-CoV-2 targets have been shown.1 µs molecular dynamics simulations and essential dynamic analyses shed light on the changes induced by the phytochemicals and highlights their multipotent capabilities- 27-Hydroxywithanolide B was able to bind to three targets. Relative free energy of binding for all the phytochemicals were calculated by MM/PBSA. Minimum energy structures were extracted from their free energy landscapes and were subjected to PSN-ENM-NMA and network centrality analysis. Results showed that the phytochemical binding changes the residue-residue interaction network. Network communities increase while hubs and links decrease. Metapath rewiring occurs through residues Phe456 in spike protein, Thr26 and Tyr118 in main protease, Val49 and Phe156 in NSP3, Leu98 in NSP9, Leu4345 in NSP10, Phe440 and Phe843 in NSP12. This work tries to understand the mechanism of possible inhibition by the phytochemicals to combat SARS-CoV-2 with their capability of targeting multiple proteins. The insight from this study can be of great relevance to explore the changes in network properties induced by reported potential inhibitors against SARS-CoV-2 targets.

scholarly journals Free Energy Landscapes and Residue Network Analysis for Six SARS-CoV-2 Targets in Complex with Plausible Phytochemical Inhibitors from Withania Somnifera: 1 µS Molecular Dynamics Simulations

2021 ◽  
Author(s):  
Pratap Kumar Parida ◽  
Dipak Paul ◽  
Debamitra Chakravorty
Keyword(s):  
Molecular Dynamics ◽  
Free Energy ◽  
Molecular Dynamics Simulations ◽  
Withania Somnifera ◽  
Minimum Energy ◽  
Interaction Network ◽  
Energy Landscapes ◽  
Residue Interaction ◽  
Free Energy Landscapes ◽  
Dynamics Simulations

The pandemic is here to stay- evident from the second wave that is severely affecting global population. Though vaccination is now available, the population size restricts its efficacy, especially in the third world countries. Therefore, to avoid a third wave, natural preventive therapeutics are the need of the hour. In this work the efficiency of phytochemicals from <i>Withania somnifera</i> to bind to a total of six SARS-CoV-2 targets have been shown.1 µs molecular dynamics simulations and essential dynamic analyses shed light on the changes induced by the phytochemicals and highlights their multipotent capabilities- 27-Hydroxywithanolide B was able to bind to three targets. Relative free energy of binding for all the phytochemicals were calculated by MM/PBSA. Minimum energy structures were extracted from their free energy landscapes and were subjected to PSN-ENM-NMA and network centrality analysis. Results showed that the phytochemical binding changes the residue-residue interaction network. Network communities increase while hubs and links decrease. Metapath rewiring occurs through residues Phe456 in spike protein, Thr26 and Tyr118 in main protease, Val49 and Phe156 in NSP3, Leu98 in NSP9, Leu4345 in NSP10, Phe440 and Phe843 in NSP12. This work tries to understand the mechanism of possible inhibition by the phytochemicals to combat SARS-CoV-2 with their capability of targeting multiple proteins. The insight from this study can be of great relevance to explore the changes in network properties induced by reported potential inhibitors against SARS-CoV-2 targets.

The regulation mechanism of phosphorylation and mutations in intrinsically disordered protein 4E-BP2

2020 ◽  
Vol 22 (5) ◽  
pp. 2938-2948
Author(s):  
Ke Wang ◽  
Shangbo Ning ◽  
Yue Guo ◽  
Mojie Duan ◽  
Minghui Yang
Keyword(s):  
Molecular Dynamics ◽  
Free Energy ◽  
Intrinsically Disordered Protein ◽  
Regulation Mechanism ◽  
Energy Landscapes ◽  
Intrinsically Disordered ◽  
Disordered Protein ◽  
Free Energy Landscapes

The free energy landscapes of 4E-BP2 and its variants were obtained by replica-exchanged molecular dynamics, which elucidate the regulation mechanism of phosphorylation and mutations on the intrinsically disordered protein.

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