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1.
Chemistry ; 28(12): e202104481, 2022 Feb 24.
Artigo em Inglês | MEDLINE | ID: mdl-35025110

RESUMO

Aptamer selection against novel infections is a complicated and time-consuming approach. Synergy can be achieved by using computational methods together with experimental procedures. This study aims to develop a reliable methodology for a rational aptamer in silico et vitro design. The new approach combines multiple steps: (1) Molecular design, based on screening in a DNA aptamer library and directed mutagenesis to fit the protein tertiary structure; (2) 3D molecular modeling of the target; (3) Molecular docking of an aptamer with the protein; (4) Molecular dynamics (MD) simulations of the complexes; (5) Quantum-mechanical (QM) evaluation of the interactions between aptamer and target with further analysis; (6) Experimental verification at each cycle for structure and binding affinity by using small-angle X-ray scattering, cytometry, and fluorescence polarization. By using a new iterative design procedure, structure- and interaction-based drug design (SIBDD), a highly specific aptamer to the receptor-binding domain of the SARS-CoV-2 spike protein, was developed and validated. The SIBDD approach enhances speed of the high-affinity aptamers development from scratch, using a target protein structure. The method could be used to improve existing aptamers for stronger binding. This approach brings to an advanced level the development of novel affinity probes, functional nucleic acids. It offers a blueprint for the straightforward design of targeting molecules for new pathogen agents and emerging variants.


Assuntos
Aptâmeros de Nucleotídeos , COVID-19 , Aptâmeros de Nucleotídeos/química , Humanos , Simulação de Acoplamento Molecular , Simulação de Dinâmica Molecular , SARS-CoV-2 , Técnica de Seleção de Aptâmeros , Glicoproteína da Espícula de Coronavírus
2.
J Chem Theory Comput ; 6(9): 2581-90, 2010 Sep 14.
Artigo em Inglês | MEDLINE | ID: mdl-26616062

RESUMO

Methodical problems of coarse-grained-type molecular dynamics, namely, rigid-body molecular dynamics (RB MD), are studied by investigating the dynamics of nanosized molecular vehicles called nanocars that move on gold and silver surfaces. Specifically, we analyzed the role of thermostats and the effects of temperature, couplings, and correlations between rigid fragments of the nanocar molecule in extensive RB MD simulations. It is found that the use of the Nosé-Poincaré thermostat does not introduce systematic errors, but the time trajectories might be required to be limited to not accumulate large numerical integration errors. Correlations in the motion of different fragments of the molecules are also analyzed. Our theoretical computations also point to the importance of temperature, interfragment interactions, and interactions with surfaces and to the nature of the surface for understanding mechanisms of motion of single-molecule transporters.

3.
J Mol Model ; 15(8): 1009-12, 2009 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-19198898

RESUMO

The results of potential of mean force (PMF) calculations for the distinct stages of proton conduction through the gramicidin A channel, including proton migration, reorientation of the water file and negative ion defect migration, are presented. The negative ion defect migration mechanism was hypothesized in experimental studies but was not considered previously in molecular dynamics simulations. The model system consisted of the peptide chains constructed on the base of the structure PDBID:1JNO, the inner file of nine water molecules and external clusters of water molecules placed at both ends of the channel. Potential energy functions were computed with the CHARMM/PM6/TIP3P parameters. The results obtained for proton migration and water file reorientation are basically consistent with those reported previously by Pómès and Roux (Biophys J 82:2304, 2002) within the similar approach. For the newly considered mechanism of negative ion defect migration from the channel center to the end of the water file we obtain the energy 3.8 kcal mol(-1) which is not considerably different from the activation energy of water reorientation, 5.4 kcal mol(-1). Therefore this mechanism may principally compete for the rate-limiting step in proton conduction in gramicidin.


Assuntos
Gramicidina/química , Modelos Moleculares , Algoritmos , Sequência de Aminoácidos , Simulação por Computador , Gramicidina/metabolismo , Ligação de Hidrogênio , Cinética , Potenciais da Membrana , Modelos Químicos , Dados de Sequência Molecular , Ligação Proteica , Estrutura Secundária de Proteína , Estrutura Terciária de Proteína , Prótons , Água/química , Água/metabolismo
4.
J Chem Theory Comput ; 4(4): 652-6, 2008 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-26620940

RESUMO

We developed molecular models describing the thermally initiated motion of nanocars, nanosized vehicles composed of two to four spherical fullerene wheels chemically coupled to a planar chassis, on a metal surface. The simulations were aimed at reproducing qualitative features of the experimentally observed migration of nanocars over gold crystals as determined by scanning tunneling microscopy. Coarse-grained-type molecular dynamics simulations were carried out for the species "Trimer" and "Nanotruck", the simplified versions of the experimentally studied nanomachines. Toward this goal, we developed a version of the rigid body molecular dynamics based on the symplectic quaternion scheme in conjunction with the Nose-Poincare thermostat approach. Interactions between rigid fragments were described by using the corrected CHARMM force field parameters, while several empirical models were introduced for interactions of nanocars with gold crystals. With the single adjusted potential parameter, the computed trajectories are consistent with the qualitative features of the thermally activated migration of the nanocars: the primary pivoting motion of Trimer and the two-dimensional combination of translations and pivoting of Nanotruck. This work presents a first attempt at a theoretical analysis of nanocars' dynamics on a surface by providing a computationally minimalist approach.

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