2nd ed. 785 s.
- Conspectus
- Biochemie. Molekulární biologie. Biofyzika
- NML Fields
- biochemie
[1st ed.] ix, 163 s., color plates
- Conspectus
- Biochemie. Molekulární biologie. Biofyzika
- NML Fields
- biochemie
- fyzika, biofyzika
1st ed. 177 s. : il.
- Keywords
- Biologie buněčná,
- MeSH
- Cell Physiological Phenomena MeSH
Entropy (ΔS), enthalpy (ΔH) and heat capacity (ΔCp) changes attending the oxytocin interaction with its two binding sites on myometrial cell membranes in sheep were derived from the temperature dependence of Kd values. The high affinity oxytocin site (Kd on the order of 10(-9)mol l(-1), 25 °C), ascribed to the oxytocin receptor (OXTR), is entropy-driven in the temperature range 0-37 °C. Enthalpy component prevails as a driving force in the binding to the low affinity site (Kd ≈ 10(-7)) within the higher temperature range. ΔCp values in both cases do not differ significantly from zero but become highly relevant in the presence of a GTP analog (10(-4)M GTP-γS). Under these conditions, ΔCp in the low site interaction becomes negative and ΔS is shifted toward negative values (enthalpy drift); ΔCp of the high affinity site rises to a high positive value and the interaction is even more strongly entropy driven. Atosiban, a competitive antagonist of oxytocin at OXTR displays a single significant binding site on myometrial cells (Kd about 10(-7)mol l(-1)). Thermodynamic profiles of atosiban and the low affinity oxytocin site show conspicuous similarities, indicating that the inhibitor is bound to the low affinity site, and not, with a lower affinity, to the putative receptor protein. It is suggested that the interaction of oxytocin with its responding system on myometrial membranes follows in two distinct steps that are likely to be associated with several independent binding domains in the GPCR receptor.
- MeSH
- Arginine Vasopressin metabolism MeSH
- Cell Membrane metabolism MeSH
- Myometrium metabolism MeSH
- Sheep MeSH
- Oxytocin metabolism MeSH
- Receptors, Oxytocin metabolism MeSH
- Temperature MeSH
- Thermodynamics MeSH
- Vasotocin analogs & derivatives metabolism MeSH
- Binding Sites MeSH
- Animals MeSH
- Check Tag
- Female MeSH
- Animals MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- MeSH
- Acetylcholinesterase drug effects MeSH
- Antidotes pharmacokinetics MeSH
- Research Support as Topic MeSH
- Hydrogen-Ion Concentration MeSH
- Organophosphorus Compounds chemistry toxicity MeSH
- Oximes pharmacokinetics MeSH
- Cholinesterase Reactivators pharmacokinetics chemistry MeSH
- In Vitro Techniques MeSH
- Temperature MeSH
- Thermodynamics MeSH
This work aims to synthesize akaganeite nanoparticles (AKNPs) by using microwave and use them to adsorb Congo red dye (CR) from the aqueous solution. The AKNPs with an average particle size of about 50 nm in width and 100 nm in length could be fabricated in 20 min. The effects of pH, CR initial concentration, adsorption time, and adsorbent dosage on the adsorption process were investigated and the artificial neural network (ANN) was used to analyze the adsorption data. The various ANN structures were examined in training the data to find the optimal model. The structure with training function, TRAINLM; adaptation learning function, LARNGDM; transfer function, LOGSIG (in hidden layer) and PURELIN (in output layer); and 10 neutrons in hidden layer having the highest correlation (R2 = 0.996) and the lowest MSE (4.405) is the optimal ANN structure. The consistency between the experimental data and the data predicted by the ANN model showed that the behavior of the adsorption process of CR onto AKNPs under different conditions can be estimated by the ANN model. The adsorption kinetics was studied by fitting the data into pseudo-first-order, pseudo-second-order, Elovich, and intraparticle diffusion models. The results showed that the adsorption kinetics obeyed the pseudo-second-order model and governed by several steps. The adsorption isotherms at the different temperatures were studied by fitting the data to Langmuir, Freundlich, and Temkin isotherm models. The R2 obtained from the Langmuir model was above 0.9 and the highest value in three of four temperatures, suggesting that the adsorption isotherms were the best fit to the Langmuir model and the maximum adsorption capacity was estimated to be more than 150 mg/g. Thermodynamic studies suggested that the adsorption of CR onto AKNPs was a spontaneous and endothermic process and physicochemical adsorption. The obtained results indicated the potential application of microwave-synthesize AKNPs for removing organic dyes from aqueous solutions.
Human immunodeficiency virus (HIV) encodes an aspartic protease (PR) that cleaves viral polyproteins into mature proteins, thus leading to the formation of infectious particles. Protease inhibitors (PIs) are successful virostatics. However, their efficiency is compromised by antiviral resistance. In the PR sequence of viral variants resistant to the PI nelfinavir, the mutations D30N and L90M appear frequently. However, these two mutations are seldom found together in vivo, suggesting that there are two alternative evolutionary pathways leading to nelfinavir resistance. Here we analyze the proteolytic activities, X-ray structures, and thermodynamics of inhibitor binding to HIV-1 PRs harboring the D30N and L90M mutations alone and in combination with other compensatory mutations. Vitality values obtained for recombinant mutant proteases and selected PR inhibitors confirm the crucial role of mutations in positions 30 and 90 for nelfinavir resistance. The combination of the D30N and L90M mutations significantly increases the enzyme vitality in the presence of nelfinavir, without a dramatic decrease in the catalytic efficiency of the recombinant enzyme. Crystal structures, molecular dynamics simulations, and calorimetric data for four mutants (D30N, D30N/A71V, D30N/N88D, and D30N/L90M) were used to augment our kinetic data. Calorimetric analysis revealed that the entropic contribution to the mutant PR/nelfinavir interaction is less favorable than the entropic contribution to the binding of nelfinavir by wild-type PR. This finding is supported by the structural data and simulations; nelfinavir binds most strongly to the wild-type protease, which has the lowest number of protein-ligand hydrogen bonds and whose structure exhibits the greatest degree of fluctuation upon inhibitor binding.
- MeSH
- Enzyme Activation MeSH
- Financing, Organized MeSH
- HIV-1 enzymology genetics MeSH
- HIV Protease genetics chemistry MeSH
- HIV Protease Inhibitors chemistry MeSH
- Kinetics MeSH
- Protein Conformation MeSH
- Crystallography, X-Ray MeSH
- Models, Molecular MeSH
- Mutation MeSH
- Nelfinavir MeSH
- Thermodynamics MeSH
- Protein Binding MeSH
- Drug Resistance, Viral MeSH
