Comportamiento de la amoxicilina en agua mediante métodos de solvatación implícita y explícita

El comportamiento molecular de la amoxicilina en agua fue explorado con solvatación implícita y explícita mediante dos estrategias que combinan diferentes técnicas de simulación molecular para evaluar el alcance de estos procedimientos. Con estas dos estrategias de cálculo computacional, la conformación molecular de la amoxicilina fue determinada en fase acuosa. En la primera estrategia se utilizó el generador de conformaciones Ballon-v1.8.2 y la estabilidad de las conformaciones en agua fue evaluada utilizando la energía libre de solvatación determinada con el método de solvatación implícita SMD. En la segunda estrategia, con la dinámica molecular tipo NVT fue evaluado el arreglo espacial de esta molécula en agua y, además, la interacción molecular entre la amoxicilina y el agua fue evaluada en esta simulación. Los resultados obtenidos muestran que la conformación de la amoxicilina más estable en fase acuosa es la plegada. Además, los valores de energías de solvatación de -121,42 y -14,58 kJ/mol obtenidos con solvatación implícita y dinámica molecular sugieren que esta molécula tiene una alta afinidad por el agua. Las funciones distribución radial y espacial sugieren que se forman 3 capas de solvatación alrededor de la amoxicilina y que esta molécula tiene una región altamente hidrofílica. Finalmente, la estrategia usando dinámica molecular permite obtener mejores conformaciones en equilibrio que la estrategia de simulación usando el generador de conformaciones Ballon-v1.8.2.

The molecular behavior of amoxicillin in water was explored with implicit and explicit solvation using two strategies that combine different molecular simulation techniques to assess the scope of these procedures. With these two computational calculation strategies, the molecular conformation of amoxicillin was determined in aqueous phase. In the first strategy, the conformation generator Ballon-v1.8.2 was used and the stability of the conformations in water was evaluated using the solvation free energy determined with the SMD implicit solvation method. In the second strategy, with NVT-type molecular dynamics, the spatial arrangement of this molecule in water was evaluated and, in addition, the molecular interaction between amoxicillin and water was evaluated in this simulation. The results obtained show that the most stable conformation of amoxicillin in the aqueous phase is the folded one. In addition, the solvation energy values of -121.42 and -14.58 kJ/mol obtained with implicit solvation and molecular dynamics suggest that this molecule has a high affinity for water. The radial and spatial distribution functions suggest that 3 solvation shells form around amoxicillin and that this molecule has a highly hydrophilic region. Finally, the strategy using molecular dynamics allows to obtain better equilibrium conformations than the simulation strategy using the Ballon-v1.8.2 conformation generator.

O comportamento da amoxicilina em água foi analisado com solvatação implícita e explícita mediante duas estratégias que combinam diferentes técnicas de simulação molecular para avaliar o escopo destes procedimentos. Com estas duas estratégias de cálculo computacional, a conformação molecular da amoxicilina foi determinada em fase aquosa. Na primeira estratégia, utilizou-se o gerador de conformação do software Ballon-v1.8.2 e avaliou-se a estabilidade das conformações em água a partir da energia livre de solvatação determinada pelo método de solvatação implícita SMD. Na segunda estratégia, avaliou-se o arranjo espacial da amoxicilina e sua interação com a água através de simulações de dinâmica molecular NVT. Os resultados obtidos mostram que a conformação dobrada é a mais estável em fase aquosa. Ademais, os valores de energía de solvatação de -121,42 e -14,58 kJ/mol obtidos com solvatação implícita e dinâmica molecular sugerem que esta molécula possui alta afinidade pela água. As funções de distribuição radial e espacial sugerem que se formam 3 camadas de solvatação ao redor da amoxicilina e que esta molécula possui uma região altamente hidrofílica. Finalmente, a estratégia usando dinâmica molecular permite obter melhores conformações de equilíbrio do que a estratégia de simulação usando o gerador de conformação do software Ballon-v1.8.2.

In-silico analysis of Porcine and recombinant Insulin activity on Glycogen

The study focuses on the anti-diabetic activity by molecular simulation of Recombinant Insulin, PorcineInsulin, and Glycogen. The sequence of these three molecules was retrieved, and 3D structures weremodeled. A total of two different molecular simulations were carried out. The simulations were done usingAutodock software. Initially, the downloaded PDB structures were docked with glycogen and the secondbetween the active site peptide models of both insulin molecules based on castP prediction with glycogenmolecule. The results were analyzed by Ramachandran plot for model prediction, and the binding energywas set as criteria to determine the best-docked model. The binding energy of recombinant insulin, porcineinsulin with glycogen was 0.32 and -1.09 respectively. Similarly, the binding energy for peptide modelswith glycogen molecule was found to be +1.09 and +6.76 respectively. Based on the results, it wasconcluded that the recombinant insulin has higher affinity than the porcine insulin.

Conformational study of N-methylated alanine peptides and design of Aẞ inhibitor.

N-Methylation increases the proteolytic stability of peptides and leads to improved pharmacological and increased nematicidal property against plant pathogens. In this study, the quantum mechanical and molecular dynamic simulation approaches were used to investigate conformational behavior of peptides containing only N-methylated alanine (NMeAla) residues and N-methylated alanine and alanine residues at alternate positions. The amide bond geometry was found to be trans and the poly NMeAla peptides were shown to populate in the helical structure without hydrogen bond with , values of ~ 0, 90˚ stabilized by carbonyl-carbonyl interactions. Molecular dynamic simulations in water/methanol revealed the formation of β-strand structure, irrespective of the starting geometry due to the interaction of solvent molecules with the carbonyl groups of peptide backbone. Analysis of simulation results as a function of time suggested that the opening of helical structure without hydrogen bond started from C-terminal. Conformational behavior of peptides containing N-MeAla and Ala was used to design Ab peptide inhibitor and the model tetrapeptide Ac-Ala-NMeAla-Ala-NHMe in the β-strand structure was shown to interact with the hydrophobic stretch of Aβ15-42 peptide.

Modelling and drug designing of glutamate receptor involved in alzheimer’s disease.

Glutamate receptors dysfunction plays an important role in the pathogenesis and disturbance which is probably a secondary phenomenon to other neurochemical, genetic or metabolic changes, and essential to the development of Alzheimer Disease. Glutamate receptors are synaptic receptors, which are located on the membranes of neuronal cells. Glutamate is used to assemble proteins and also it is abundant in many areas of the body, but it also functions as a neurotransmitter and is particularly abundant in the nervous system. In this work we have modeled a three dimensional structure for Glutamate [NMDA] receptor subunit using MODELLER7V7 software with 2RC7 (Crystal Structure of the NR3A Ligand Binding Core Complex with Glycine) as template. With the aid of Molecular dynamics and Molecular simulations studies it was identified that the generated structure was reliable. This structure was used to identify better inhibitor using docking studies. The drug derivatives were docked to the Glutamate receptor structure into the active site containing residues such as ASP21, LEU30, TYR31, HIS59, and MET60. Among the 21 derivatives 14 were docked and 3rd drug derivative showed better docking energy than the others. Our experimental studies can be further used to develop a better drug for Alzheimer disease.