Free energy decomposition analysis of bonding and nonbonding interactions in solution

2012 ◽  
Vol 137 (3) ◽  
pp. 034111 ◽  
Author(s):  
Peifeng Su ◽  
Hui Liu ◽  
Wei Wu
Keyword(s):  
Free Energy ◽  
Decomposition Analysis ◽  
Energy Decomposition Analysis ◽  
Energy Decomposition ◽  
Free Energy Decomposition

scholarly journals HawkDock: a web server to predict and analyze the protein–protein complex based on computational docking and MM/GBSA

2019 ◽  
Vol 47 (W1) ◽  
pp. W322-W330 ◽  
Author(s):  
Gaoqi Weng ◽  
Ercheng Wang ◽  
Zhe Wang ◽  
Hui Liu ◽  
Feng Zhu ◽  
...  
Keyword(s):  
Free Energy ◽  
Protein Interactions ◽  
Decomposition Analysis ◽  
Scoring Function ◽  
Web Server ◽  
Energy Decomposition Analysis ◽  
Energy Decomposition ◽  
Computational Docking ◽  
Free Energy Decomposition ◽  
Key Residues

Abstract Protein–protein interactions (PPIs) play an important role in the different functions of cells, but accurate prediction of the three-dimensional structures for PPIs is still a notoriously difficult task. In this study, HawkDock, a free and open accessed web server, was developed to predict and analyze the structures of PPIs. In the HawkDock server, the ATTRACT docking algorithm, the HawkRank scoring function developed in our group and the MM/GBSA free energy decomposition analysis were seamlessly integrated into a multi-functional platform. The structures of PPIs were predicted by combining the ATTRACT docking and the HawkRank re-scoring, and the key residues for PPIs were highlighted by the MM/GBSA free energy decomposition. The molecular visualization was supported by 3Dmol.js. For the structural modeling of PPIs, HawkDock could achieve a better performance than ZDOCK 3.0.2 in the benchmark testing. For the prediction of key residues, the important residues that play an essential role in PPIs could be identified in the top 10 residues for ∼81.4% predicted models and ∼95.4% crystal structures in the benchmark dataset. To sum up, the HawkDock server is a powerful tool to predict the binding structures and identify the key residues of PPIs. The HawkDock server is accessible free of charge at http://cadd.zju.edu.cn/hawkdock/.

scholarly journals Binding Affinities of Sanggenon Derivatives as PTP1B Inhibitors; Using Molecular Dynamics and Free Energy Calculations

2021 ◽  
Author(s):  
Safak OZHAN KOCAKAYA
Keyword(s):  
Molecular Dynamics ◽  
Free Energy ◽  
Tyrosine Phosphatase ◽  
Decomposition Analysis ◽  
Md Simulations ◽  
Free Energy Calculations ◽  
Energy Decomposition Analysis ◽  
Free Energy Decomposition ◽  
Poisson Boltzmann ◽  
Ptp1b Inhibitors

Abstract Recently, protein tyrosine phosphatase 1B (PTP1B) inhibitors have become the frontier as possible targeting for anti-cancer and antidiabetic drugs. The contemporary observe represents a pc assisted version to investigate the importance of precise residues within the binding web site of PTP1B with numerous Sanggenon derivatives remoted from nature. Molecular dynamics (MD) simulations were performed to estimate the dynamics of the complexes, and absolute binding unfastened energies have been calculated with exclusive additives, and carried out through the usage of the Molecular Mechanics-Poisson-Boltzmann floor region (MM-PB/SA) and Generalized Born surface vicinity (MM-GB/SA) strategies. The effects show that the expected free energies of the complexes are normally constant with the available experimental statistics. MM/GBSA free energy decomposition analysis shows that the residues Asp29, Arg24, Met258, and , Arg254 in the second active site in PTP1B are crucial for the excessive selectivity of the inhibitors.

Computational study on the molecular mechanisms of drug resistance of Narlaprevir due to V36M, R155K, V36M+R155K, T54A, and A156T mutations of HCV NS3/4A protease

2014 ◽  
Vol 92 (5) ◽  
pp. 357-369 ◽  
Author(s):  
Huiqun Wang ◽  
Lingling Geng ◽  
Bo-Zhen Chen ◽  
Mingjuan Ji
Keyword(s):  
Drug Resistance ◽  
Free Energy ◽  
Molecular Mechanism ◽  
Molecular Mechanisms ◽  
Computational Study ◽  
Decomposition Analysis ◽  
Md Simulations ◽  
Free Energy Calculations ◽  
Energy Decomposition Analysis ◽  
Free Energy Decomposition

Narlaprevir is a novel NS3/4A protease inhibitor of hepatitis C virus (HCV), and it has been tested in a phase II clinical trial recently. However, distinct drug-resistance of Narlaprevir has been discovered. In our study, the molecular mechanisms of drug-resistance of Narlaprevir due to the mutations V36M, R155K, V36M+R155K, T54A, and A156T of NS3/4A protease have been investigated by molecular dynamics (MD) simulations, free energy calculations, and free energy decomposition analysis. The predicted binding free energies of Narlaprevir towards the wild-type and five mutants show that the mutations V36M, R155K, and T54A lead to low-level drug resistance and the mutations V36M+R155K and A156T lead to high-level drug resistance, which is consistent with the experimental data. The analysis of the individual energy terms indicates that the van der Waals contribution is important for distinguishing the binding affinities of these six complexes. These findings again show that the combination of different molecular modeling techniques is an efficient way to interpret the molecular mechanism of drug-resistance. Our work mainly elaborates the molecular mechanism of drug-resistance of Narlaprevir and further provides valuable information for developing novel, safer, and more potent HCV antiviral drugs in the near future.

scholarly journals DFT Study on the Mechanism of Iron-Catalyzed Diazocarbonylation

Molecules ◽  
2020 ◽  
Vol 25 (24) ◽  
pp. 5860
Author(s):  
Tímea R. Kégl ◽  
László Kollár ◽  
Tamás Kégl
Keyword(s):  
Free Energy ◽  
Dft Calculations ◽  
Reaction Rate ◽  
Decomposition Analysis ◽  
Donor Ligands ◽  
Energy Decomposition Analysis ◽  
Doublet State ◽  
Energy Decomposition ◽  
Natural Orbitals ◽  
Free Energy Of Activation

The mechanism of the carbonylation of diazomethane in the presence of iron–carbonyl–phosphine catalysts has been investigated by means of DFT calculations at the M06/def-TZVP//B97D3/def2-TZVP level of theory, in combination with the SMD solvation method. The reaction rate is determined by the formation of the coordinatively unsaturated doublet-state Fe(CO)3(P) precursor followed by the diazoalkane coordination and the N2 extrusion. The free energy of activation is predicted to be 18.5 and 28.2 kcal/mol for the PF3 and PPh3 containing systems, respectively. Thus, in the presence of less basic P-donor ligands with stronger π-acceptor properties, a significant increase in the reaction rate can be expected. According to energy decomposition analysis combined with natural orbitals of chemical valence (EDA–NOCV) calculations, diazomethane in the Fe(CO)3(phosphine)(η1-CH2N2) adduct reveals a π-donor–π-acceptor type of coordination.

scholarly journals Direct estimate of the internal π-donation to the carbene centre within N-heterocyclic carbenes and related molecules

2015 ◽  
Vol 11 ◽  
pp. 2727-2736 ◽  
Author(s):  
Diego M Andrada ◽  
Nicole Holzmann ◽  
Thomas Hamadi ◽  
Gernot Frenking
Keyword(s):  
Density Functional Theory ◽  
Density Functional ◽  
Decomposition Analysis ◽  
Heterocyclic Carbenes ◽  
Energy Decomposition Analysis ◽  
Energy Decomposition ◽  
Direct Estimate ◽  
Functional Theory ◽  
Bonding Analysis

Fifteen cyclic and acylic carbenes have been calculated with density functional theory at the BP86/def2-TZVPP level. The strength of the internal X→p(π) π-donation of heteroatoms and carbon which are bonded to the C(II) atom is estimated with the help of NBO calculations and with an energy decomposition analysis. The investigated molecules include N-heterocyclic carbenes (NHCs), the cyclic alkyl(amino)carbene (cAAC), mesoionic carbenes and ylide-stabilized carbenes. The bonding analysis suggests that the carbene centre in cAAC and in diamidocarbene have the weakest X→p(π) π-donation while mesoionic carbenes possess the strongest π-donation.

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