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1.
Phys Chem Chem Phys ; 23(48): 27348-27354, 2021 Dec 15.
Artículo en Inglés | MEDLINE | ID: mdl-34854859

RESUMEN

Bilirubin oxidases (BOD) are metalloenzymes that catalyze the conversion of O2 and bilirubin to biliverdin and water in the metabolism of chlorophyll and porphyrin. In this work we have used the CpHMD method to analyze the effects of the different oxidation states on the BOD trinuclear cluster (TNC). Our results demonstrate that there is a link between the different oxidation states of copper ions and the protonation capacity of nearby titratable residues. Each configuration affects pKa differently, creating proton gradients within the enzyme that act in an extremely orderly manner. This order is closely linked to the catalytic mechanism and leads us to the conclusion of the entry of the O2 molecule and its reduction in water molecules is associated with the probability of the release of protons from nearby acid groups. With this information, we deduce that under the initial reaction conditions the acidic side chains of nearby residues can be protonated; this allows the enzyme to reduce the activation energy of the reaction by coupling the proton transfer to oxidation state changes in the metallic center.


Asunto(s)
Simulación de Dinámica Molecular , Oxidorreductasas actuantes sobre Donantes de Grupo CH-CH/química , Protones , Concentración de Iones de Hidrógeno , Oxidación-Reducción , Oxidorreductasas actuantes sobre Donantes de Grupo CH-CH/metabolismo
2.
J Phys Chem B ; 125(29): 7985-7996, 2021 07 29.
Artículo en Inglés | MEDLINE | ID: mdl-34264671

RESUMEN

The development of mimetic antibodies (MA) capable of combining the high affinity and selectivity of antibodies with the small size of the peptides has enormous potential for applications in current biotechnology. In this work, we demonstrate that in silico MA design is possible through genetic algorithms (GA) developed from shell scripts capable of combining software commonly used for atomistic simulation. Our results demonstrate that, using the GB1 domain of the streptococcal G protein as a model, it is possible to optimize the molecular recognition capacity of a large MA population in a few generations. In the first case, GA was able to generate 10 MA with binding free energy (BFE) less than the vascular endothelial cell growth factor conjugated with the fms-type tyrosine kinase receptor. In the second case, it generated 13 MA with BFE less than that of the hepatitis C-E2 viral envelope conjugate with the antibody. Through the GA developed in this work, we demonstrate the use of a new protocol, capable of guiding experimental methods for the design of bioactive peptides that can assist in the development of new therapeutic molecules.


Asunto(s)
Algoritmos , Proteínas Bacterianas , Simulación por Computador , Termodinámica
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