Structural insights into DNA binding domain of vancomycin-resistance-associated response regulator in complex with its promoter DNA from Staphylococcus aureus.

In Staphylococcus aureus, vancomycin-resistance-associated response regulator (VraR) is a part of the VraSR two-component system, which is responsible for activating a cell wall-stress stimulon in response to an antibiotic that inhibits cell wall formation. Two VraR-binding sites have been identified: R1 and R2 in the vraSR operon control region. However, the binding of VraR to a promoter DNA enhancing downstream gene expression remains unclear. VraR contains a conserved N-terminal receiver domain (VraRN ) connected to a C-terminal DNA binding domain (VraRC ) with a flexible linker. Here, we present the crystal structure of VraRC alone and in complex with R1-DNA in 1.87- and 2.0-Å resolution, respectively. VraRC consisting of four α-helices forms a dimer when interacting with R1-DNA. In the VraRC -DNA complex structure, Mg2+ ion is bound to Asp194. Biolayer interferometry experiments revealed that the addition of Mg2+ to VraRC enhanced its DNA binding affinity by eightfold. In addition, interpretation of NMR titrations between VraRC with R1- and R2-DNA revealed the essential residues that might play a crucial role in interacting with DNA of the vraSR operon. The structural information could help in designing and screening potential therapeutics/inhibitors to deal with antibiotic-resistant S. aureus via targeting VraR.

Computational selection of RNA aptamer against angiopoietin-2 and experimental evaluation.

Angiogenesis plays a decisive role in the growth and spread of cancer and angiopoietin-2 (Ang2) is in the spotlight of studies for its unique role in modulating angiogenesis. The aim of this study was to introduce a computational simulation approach to screen aptamers with high binding ability for Ang2. We carried out computational simulations of aptamer-protein interactions by using ZDOCK and ZRANK functions in Discovery Studio 3.5 starting from the available information of aptamers generated through the systematic evolution of ligands by exponential enrichment (SELEX) in the literature. From the best of three aptamers on the basis of ZRANK scores, 189 sequences with two-point mutations were created and simulated with Ang2. Then, we used a surface plasmon resonance (SPR) biosensor to test 3 mutant sequences of high ZRANK scores along with a high and a low affinity binding sequence as reported in the literature. We found a selected RNA aptamer has a higher binding affinity and SPR response than a reported sequence with the highest affinity. This is the first study of in silico selection of aptamers against Ang2 by using the ZRANK scoring function, which should help to increase the efficiency of selecting aptamers with high target-binding ability.