Multiphasic interactions between nucleotides and target proteins

نویسنده

  • Per Nissen
چکیده

The nucleotides guanosine tetraphosphate (ppGpp) and guanosine pentaphosphate (pppGpp) bind to target proteins to promote bacterial survival (Corrigan et al. 2016). Thus, the binding of the nucleotides to RsgA, a GTPase, inhibits the hydrolysis of GTP. The dose response, taken to be curvilinear with respect to the logarithm of the inhibitor concentration, is instead much better (P<0.001 when the 6 experiments are combined) represented as multiphasic, with high to exceedingly high absolute r values for the straight lines, and with transitions in the form of non-contiguities (jumps). Profiles for the binding of radiolabeled nucleotides to HprT and Gmk, GTP synthesis enzymes, were, similarly, taken to be curvilinear with respect to the logarithm of the protein concentration. However, the profiles are again much better represented as multiphasic than as curvilinear (the P values range from 0.047 to <0.001 for each of the 8 experiments for binding of ppGpp and pppGpp to HprT). The binding of GTP to HprT and the binding of the three nucleotides to Gmk are also poorly represented by curvilinear profiles, but well represented by multiphasic profiles (straight and, in part, parallel lines). Introduction In addition to multiphasic profiles for ion uptake in plants (Nissen 1971, 1974, 1991, 1996), such profiles have been recently (Nissen 2015a,b, 2016a,b,c) reported for many other processes and phenomena. In the present paper, data for the interaction between nucleotides and target proteins in Gram-positive bacteria will be reanalyzed to statistically compare the fits to curvilinear profiles with the fits to multiphasic profiles.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Discovering Domains Mediating Protein Interactions

Background: Protein-protein interactions do not provide any direct information re‌garding the domains within the proteins that mediate the interactions. The majority of proteins are multi domain proteins and the interaction between them is often defined by the pairs of their domains. Most of the former studies focus only on interacting do‌main pairs. However they do not consider the in...

متن کامل

Interactions between the R2R3-MYB Transcription Factor, AtMYB61, and Target DNA Binding Sites

Despite the prominent roles played by R2R3-MYB transcription factors in the regulation of plant gene expression, little is known about the details of how these proteins interact with their DNA targets. For example, while Arabidopsis thaliana R2R3-MYB protein AtMYB61 is known to alter transcript abundance of a specific set of target genes, little is known about the specific DNA sequences to whic...

متن کامل

Receptor Tyrosine Kinase Inhibitory Activities and Molecular Docking Studies of Some Pyrrolo[2,3-d]pyrimidine Derivatives

In this study, we aimed to determine VEGFR-2, EGFR and PDGFR-β tyrosine kinase inhibitory activities of some pyrrolo[2,3-d]pyrimidine derivatives previously synthesized and showed potent cytotoxic and apoptotic effects against several cancer cell lines by our group and to evaluate the relationships between inhibitory activities and binding properties of the active compounds by molecular docking...

متن کامل

In vitro study of drug-protein interaction using electronic absorption, fluorescence, and circular dichroism spectroscopy

In the near future, design of a new generation of drugs targeting proteins will be required. Considering the complex bond between the drug and protein, the structure and stability of the target protein should be considered. So far, a series of in vitro investigations have been conducted with the aim of predicting drug-biological medium interactions. In these studies, use of spectroscopic method...

متن کامل

Dynamical Analysis of Yeast Cell Cycle Using a Stochastic Markov Model

Introduction: The cell cycle network is responsible of control, growth and proliferation of cells. The relationship between the cell cycle network and cancer emergence, and the complex reciprocal interactions between genes/proteins calls for computational models to analyze this regulatory network. Ample experimental data confirm the existence of random behaviors in the interactions between gene...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016