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I will upload the artical - Essay ExampleOn the other hand, MM-GBSA is normally utilise in the computation of the alleviate binding energy differences between the bound and the unbound states of solvated molecules. This paper seeks to critically discuss the MM-GB (PB) SA methods and their potential applicationsThere ar a number of utility(a) and competing methods to MM-GB (PB) some of which take free energy perturbation (FEP), multi-state Bennett acceptance ratio (MBAR) and thermodynamic integration (TI) among others 1. Many people use these alternative methods due to their computational accuracy. However, compared to the other methods, MM-GBSA and MM-PBSA methods are more computationally efficient molecular modeling algorithms that are potentially quite useful in do drugs design particularly with regard to ranking drug binding affinity.Drug binding affinity ranking is critically important in computer back up drug design where it is normally used to facilitate the efficiency an d accuracy of the routine identification of the potential candidates. This is particularly critical during the early stage stages of drug discovery 1.Generally, Implicit answers addresses the problem by representing solvent as a continuous medium as opposed to individual explicit solvent molecules in order to estimate free energy of solute-solvent interactions in structural and chemical processes some of which often include folding and conformational transitions of proteins. This can significantly help in the estimation of the contribution of each residue to the general protein-ligand/protein binding thereby helping in the identification of mutations that can potentially enhance the binding affinities of the protein complex.A number of previous researches have explored the potential reliability of using MM-GB(PB)SA in estimating ligand binding affinities of a serial of structurally diverse inhibitors. On the other hand,