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A colorimetric, non-cross-linking aggregation-based gold-nanoparticle (AuNP) probe has been developed for the detection of DNA and the analysis of single-nucleotide polymorphism (SNP). The probe acts by modulating the enzyme activity of thrombin relative to fibrinogen. A thrombin-binding aptamer with a 29-base-long oligonucleotide (TBA(29)) assembled on the nanoparticles (TBA(29)-AuNPs) through sandwich DNA hybridization was found to possess ultra-high anticoagulant potency. The enzyme inhibition of thrombin was determined by thrombin-induced aggregation of fibrinogen-functionalized 56 nm AuNPs (Fib-AuNPs). The potency of the inhibition of TBA(29)-AuNPs relative to thrombin--and thus the degree of aggregation of the Fib-AuNPs--is highly dependent on the concentration of perfectly matched DNA (DNA(pm)). Under optimal conditions [Tris-HCl (20 mM, pH 7.4), KCl (5 mM), MgCl(2) (1 mM), CaCl(2) (1 mM), NaCl (150 mM), thrombin (10 pM), and TBA(29)-AuNPs (20 pM)], the new TBA(29)-AuNP/Fib-AuNP probe shows linear sensitivity to DNA(pm) in the concentration range 20-500 pM with a correlation coefficient of 0.96. The limit of detection for DNA(pm) was experimentally determined to be 12 pM, based on a signal-to-noise ratio (S/N) of 3. The new probe was successfully applied to the analysis of an SNP that is responsible for sickle cell anemia. Relative to conventional molecular-beacon-based probes, the new probe offers the advantages of higher sensitivity and selectivity towards DNA and lower cost, showing its great potential for practical studies of SNPs.  相似文献   
94.
The preparation of biorecognition layers on the surface of a sensing platform is a very crucial step for the development of sensitive and selective biosensors. Different protocols have been used thus far for the immobilization of biomolecules onto various electrode surfaces. In this work, we investigate how the protocol followed for the immobilization of a DNA aptamer affects the performance of the fabricated thrombin aptasensor. Specifically, the differences in selectivity and optimum amount of immobilized aptamer of the fabricated aptasensors adopting either physical, covalent, or affinity immobilization were compared. It was discovered that while all three methods of immobilization uniformly show a similar optimum amount of immobilized aptamer, physical, and covalent immobilization methods exhibit higher selectivity than affinity immobilization. Hence, it is believed that our findings are very important in order to optimize and improve the performance of graphene‐based aptasensors.  相似文献   
95.
A novel procedure for docking ligands in a flexible binding site is presented. It relies on conjugate gradient minimization, during which nonbonded interactions are gradually switched on. Short Monte Carlo minimization runs are performed on the most promising candidates. Solvation is implicitly taken into account in the evaluation of structures with a continuum model. It is shown that the method is very accurate and can model induced fit in the ligand and the binding site. The docking procedure has been successfully applied to three systems. The first two are the binding of progesterone and 5β-androstane-3,17-dione to the antigen binding fragment of a steroid binding antibody. A comparison of the crystal structures of the free and the two complexed forms reveals that any attempt to model binding must take protein rearrangements into account. Furthermore, the two ligands bind in two different orientations, posing an additional challenge. The third test case is the docking of Nα-(2-naphthyl-sulfonyl-glycyl)-D -para-amidino-phenyl-alanyl-piperidine (NAPAP) to human α-thrombin. In contrast to steroids, NAPAP is a very flexible ligand, and no information of its conformation in the binding site is used. All docking calculations are started from X-ray conformations of proteins with the uncomplexed binding site. For all three systems the best minima in terms of free energy have a root mean square deviation from the X-ray structure smaller than 1.5 Å for the ligand atoms. © 1998 John Wiley & Sons, Inc. J Comput Chem 19: 21–37, 1998  相似文献   
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