نتایج جستجو برای: Molecular mechanics-generalized born surface area
تعداد نتایج: 2039640 فیلتر نتایج به سال:
Factor Xa (fXa) is a promising target for antithrombotic drugs. Recently, we presented a molecular dynamics study on fXa, which highlighted the need for a careful system setup to obtain stable simulations. Here, we show that these simulations can be used to predict the free energy of binding of several fXa inhibitors. We tested molecular mechanics/Poisson-Boltzmann surface area, molecular mecha...
In molecular docking, it is challenging to develop a scoring function that is accurate to conduct high-throughput screenings. Most scoring functions implemented in popular docking software packages were developed with many approximations for computational efficiency, which sacrifices the accuracy of prediction. With advanced technology and powerful computational hardware nowadays, it is feasibl...
Human serum albumin (HSA) is the most abundant protein in the blood plasma. Molecular dynamics simulations of subdomain IIA of HSA and its complex with salicylic acid (SAL) were performed to investigate structural changes induced by the ligand binding. To estimate the binding affinity of SAL molecule to subdomains IB and IIA in HSA protein, binding free energies were calculated using the Molecu...
The Molecular Mechanics/Poisson-Boltzmann Surface Area (MM/PBSA) and the Molecular Mechanics/Generalized Born Surface Area (MM/GBSA) methods calculate binding free energies for macromolecules by combining molecular mechanics calculations and continuum solvation models. To systematically evaluate the performance of these methods, we report here an extensive study of 59 ligands interacting with s...
An accurate prediction of the ligand-receptor binding free energies (ΔG) is a critical step in early stages rational drug design. The Molecular Mechanics-Generalized Born Surface Area (MM-GBSA) method popular
 
 approach to estimate ΔG. However, correlations between predicted and experimental ΔG are variable. goal this study investigate various approaches optimize accuracy MM-GBSA met...
The fundamental problems in drug discovery are based on the process of molecular recognition by small molecules. The binding specificity of DNA-small molecule is identified mainly by studying the hydrogen bonding and polar interactions. Majority of the minor groove binders and their mechanism of action at the molecular level are not well studied. As these small molecules can act as effective th...
Protein kinase CK2, also known as casein kinase II, is related to various cellular events and is a potential target for numerous cancers. In this study, we attempted to gain more insight into the inhibition process of CK2 by a series of CX-4945 derivatives through an integrated computational study that combines molecular docking, molecular dynamics (MD) simulations, and binding free energy calc...
Fosmidomycin and its derivatives belong to class DOX-reductoisomerase (DXR) inhibitors. A fosmidomycin analogues library was designed with 43 analogues, their molecular interactions and binding affinities with DXR (PDB ID: 1ONP) have been studied using Glide docking, QMpolarized ligand docking (QPLD), molecular mechanics based on generalized Born/surface area (MM-GB/SA) and multi-ligand bimolec...
NAS21, NAS91 and its derivatives belong to class FabZ inhibitors have been focused to develop better anti-malarial drugs. Library of 17 analogues was designed from NAS21, NAS91 scaffold structure, and NAS75, NAS79 was considered for computational study. Their molecular interactions, binding affinities with FabZ was studied using receptor-centric approaches: glide docking, molecular mechanics us...
based on the notion of micro-structure in linear elasticity presented by mindlin, a newextended continuum mechanics (ecm) formulation is derived which can be utilized to model thematerial behavior at atomic scale. an attempt has been made to present a formulation capable ofproducing the molecular dynamics (md) simulation results with less computational effort. to thisend, some new kinematical v...
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