Key role of barstar Cys-40 residue in the mechanism of heat denaturation of bacterial ribonuclease complexes with barstar

Fluorescent immunolabeling of cancer cells by quantum dots and antibody scFv fragment

Semiconductor quantum dots (QDs) coupled with cancer-specific targeting ligands are new promising agents for fluorescent visualization of cancer cells. Human epidermal growth factor receptor 2/neu (HER2/neu), overexpressed on the surface of many cancer cells, is an important target for cancer diagnostics. Antibody scFv fragments as a targeting agent for direct delivery of fluorophores offer significant advantages over full-size antibodies due to their small size, lower cross-reactivity, and immunogenicity. We have used quantum dots linked to anti-HER2/neu 4D5 scFv antibody to label HER2/neu-overexpressing live cells. Labeling of target cells was shown to have high brightness, photostability, and specificity. The results indicate that construction based on quantum dots and scFv antibody can be successfully used for cancer cell visualization.

Dynamic spin label study of the barstar-barnase complex

The dynamic spin label method was used to study protein-protein interactions in the model complex of the enzyme barnase (Bn) with its inhibitor barstar. The C40A mutant of barstar (Bs) containing a single cysteine residue was modified with two different spin labels varying in length and structure of a flexible linker. Each spin label was selectively bound to the Cys82 residue, located near the Bn-Bs contact site. The formation of the stable protein complex between Bn and spin labeled Bs was accompanied by a substantial restriction of spin label mobility, indicated by remarkable changes in the registered EPR spectra. Order parameter, S, as an estimate of rapid reorientation of spin label relative to protein molecule, was sharply increasing approaching 1. However, the rotational correlation time tau for spin-labeled Bs and its complex with Bn in solution corresponded precisely to their molecular weights. These data indicate that both Bs and its complex with Bn are rigid protein entities. Spin labels attached to Bs in close proximity to an interface of interaction with Bn, regardless of its structure, undergo significant restriction of mobility by the environment of the contact site of the two proteins. The results show that this approach can be used to investigate fusion proteins containing Bn or Bs.

Brownian dynamics simulation of the competitive reactions: binase dimerization and the association of binase and barstar

A comparative study of the competitive reactions-the association reaction of binase with polypeptide inhibitor barstar and the reaction of binase dimerization-has been performed by the Brownian dynamics simulation method. It was shown that three types of the binase dimers could be formed and the dimerization reaction could compete with the inhibition reaction. The first type of the dimers leaves the active centre of binase free. During the formation of the dimers of the second and the third types the active centre of one or both binase molecules is blocked and ribonuclease becomes partially or fully inactive. Brownian dynamics simulation shown, that the ratio of competitive reaction rates depends on pH and ionic strength of solution.

Residual dipolar couplings and molecular dynamic calculations as a source for refinement of protein spatial structures

The precision of techniques and factors affecting the interpretation of residual dipolar couplings (RDCs) in analysis of spatial structures of partially aligned proteins are discussed. Experimental RDC values were obtained for pairs of 1H-15N nuclei of the protein barstar partially aligned in a liquid crystalline matrix of bicelles composed of dimiristoylphosphatidylcholine and dihexanoylphosphatidylcholine. The observed couplings agree well with the spatial structures of barstar determined earlier by X-ray and NMR methods. However, the differences between the experimental and calculated RDCs that were calculated on the basis of the known spatial structures of barstar, exceed the experimental errors three- to fourfold. These discrepancies can be explained by differences in the protein structures in solution and in crystal, a limited precision of the X-ray analysis, and the intramolecular mobility of the protein molecule. A comparison of the results of modeling of the molecular dynamics of barstar in solution, crystal structures, and the experimental RDCs showed that the methods of molecular dynamics provide for a reasonable description of the character and amplitudes of internal motions and they should be considered for the correct determination of protein spatial structures from NMR spectroscopic data.

Thermodynamics of denaturation of complexes of barnase and binase with barstar

Differential scanning calorimetry was used to study the thermodynamics of denaturation of protein complexes for which the free energy stabilizing the complexes varied between -8 and -16 kcal/mol. The proteins studied were the ribonucleases barnase and binase, their inhibitor barstar and mutants thereof, and complexes between the two. The results are in good agreement with the model developed by Brandts and Lin for studying the thermodynamics of denaturation for tight complexes between two proteins which undergo two-state thermal unfolding transitions.

Implicit solvent models for flexible protein-protein docking by molecular dynamics simulation

The suitability of three implicit solvent models for flexible protein-protein docking by procedures using molecular dynamics simulation is investigated. The three models are (i) the generalized Born (GB) model implemented in the program AMBER6.0; (ii) a distance-dependent dielectric (DDD) model; and (iii) a surface area-dependent model that we have parameterized and call the NPSA model. This is a distance-dependent dielectric model modified by neutralizing the ionizable side-chains and adding a surface area-dependent solvation term. These solvent models were first tested in molecular dynamics simulations at 300 K of the native structures of barnase, barstar, segment B1 of protein G, and three WW domains. These protein structures display a range of secondary structure contents and stabilities. Then, to investigate the performance of the implicit solvent models in protein docking, molecular dynamics simulations of barnase/barstar complexation, as well as PIN1 WW domain/peptide complexation, were conducted, starting from separated unbound structures. The simulations show that the NPSA model has significant advantages over the DDD and GB models in maintaining the native structures of the proteins and providing more accurate docked complexes.