2020
DOI: 10.1039/c9cp06459a
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Improving the performance of the MM/PBSA and MM/GBSA methods in recognizing the native structure of the Bcl-2 family using the interaction entropy method

Abstract: Correct discrimination of native structure plays an important role in drug design. IE method significantly improves the performance of MM/PB(GB)SA method in discriminating native and decoy structures in protein–ligand/protein systems of Bcl-2 family.

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Cited by 23 publications
(15 citation statements)
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“…Furthermore, gmx_MMPBSA implements a new method for estimating the entropic term IE method, in addition to the two (NMODE and QH) already available in MMPBSA.py. The main advantage of this new method is its low computational cost, making it attractive for high throughput energy calculations. Neither g_mmpbsa nor GMXPBSA2.1 has any of these methods implemented in their routines. Although several studies conclude that correlations based on effective energy may be sufficient, , others assert that entropic correction can improve these estimates. ,, In any case, we provide the user with different methods to estimate the entropic component that can be executed independently (Table ).…”
Section: Results and Discussionmentioning
confidence: 99%
“…Furthermore, gmx_MMPBSA implements a new method for estimating the entropic term IE method, in addition to the two (NMODE and QH) already available in MMPBSA.py. The main advantage of this new method is its low computational cost, making it attractive for high throughput energy calculations. Neither g_mmpbsa nor GMXPBSA2.1 has any of these methods implemented in their routines. Although several studies conclude that correlations based on effective energy may be sufficient, , others assert that entropic correction can improve these estimates. ,, In any case, we provide the user with different methods to estimate the entropic component that can be executed independently (Table ).…”
Section: Results and Discussionmentioning
confidence: 99%
“…In order to evaluate the docking results of the three software servers, the top ranking pose from each was examined using the PDBePISA online tool, developed by The European Bioinformatics Institute, EMBL-EBI, for the exploration of macromolecular interfaces (Krissinel & Henrick, 2007 ). Moreover, a Molecular Mechanics energies combined with Generalized Born and Surface Area (MM/GBSA) calculation, as implemented within the Hawkdock server, was used to estimate the binding affinities (Hou et al., 2011 ; Zhong et al., 2020 ). The results of the examination of the top complex generated by each software are illustrated in Table 1 .…”
Section: Resultsmentioning
confidence: 99%
“…Molecular mechanics-generalized Born surface area (MM-GBSA) is a very popular method for estimating BFE , and widely used in the design of new drugs. , This method takes advantage of the fact that free energy is a function of thermodynamic state to create an alternative way to do the energy calculations as we see in Figure S6. In the MM-GBSA approach, the BFE of the receptor ligand (RL) complex, the receptor (R), and the ligand (L) are decomposed into several energy terms, as we see in the equations below where E mm is the molecular mechanic potential used in the force field, Δ G solv is the solvation energy and T Δ S is the entropic term.…”
Section: Methodsmentioning
confidence: 99%
“…MM-GBSA. Molecular mechanics-generalized Born surface area (MM-GBSA) is a very popular method for estimating BFE 45,58 and widely used in the design of new drugs. 47,59 This method takes advantage of the fact that free energy is a function of thermodynamic state to create an alternative way to do the energy calculations as we see in Figure S6.…”
Section: ■ Introductionmentioning
confidence: 99%