Characterization of poly (rc) binding protein (pcbp2) and frataxin

Iron is a micronutrient that acts as a cofactor in many prosthetic groups involving itself in almost every biological process. Iron is the key component in our body fluid, flowing in our veins all the time. Iron deficiency disorders affects more than 9 million people worldwide. Similarly, a high level of iron is associated with various disorders which suggest that in order for body to function properly level of iron should be tightly regulated. Many iron binding proteins help in maintaining cellular iron homeostasis by keeping iron in reduced form. Working on the hypothesis that Poly (rC) Binding Protein family serve as iron chaperone, research presented here shows that PCBP2 binds ferrous iron with micromolar binding affinity. The structural data on PCBP2 shows that thus bound iron is in 6-coordinate O/N ligand environment. Data presented here characterizes PCBP2 as a dimeric protein, with high helical content. Characterization of PCBP2 will serve as a base for exploring the roles of PCBP2 in cellular iron homeostasis

Comparative Thermodynamic Analysis of Zinc Binding to the His/Cys Motif in Virion Infectivity Factor

HIV-1 virion infectivity factor (Vif) is an accessory protein that induces the proteasomal degradation of the host restriction factor, apolipoprotein B mRNA-editing enzyme catalytic polypeptide-like 3G (APOBEC3G). Degradation of APOBEC3G requires the interaction of Vif with Cul5, the scaffold for an E3 ubiquitin ligase. A highly conserved region in HIV-1 Vif termed the HCCH motif binds zinc and is critical for recruitment of Cul5 and degradation of APOBEC3G. To gain thermodynamic and mechanistic insight into zinc binding to diverse Vif proteins, we have employed a combination of isothermal titration calorimetry, analytical ultracentrifugation, and Cul5 pull down assays. The proton linkage of zinc binding to HIV-1 Vif was analyzed under different buffer conditions and consistent with the release of two Cys-thiol protons upon zinc binding, supporting earlier EXAFS studies. Zinc binding to Vif proteins from HIV-1, SIV_Agm, HIV-2, and SIV_Mac followed a trend in which the enthalpy of zinc binding became less favorable and the entropy of zinc binding became more favorable. Using AUC, we determined that zinc induced oligomerization of Vif proteins from HIV-1 and SIV_Agm but had little or no effect on the oligomeric properties of Vif proteins from HIV-2 and SIV_Mac. The zinc dependence of Cul5 recruitment by Vif was investigated. All Vif proteins except HIV-2 Vif required zinc to stabilize the interaction with Cul5. The trends in enthalpy–entropy compensation, zinc-induced oligomerization, and Cul5 recruitment are discussed in terms of the <i>apo</i> conformation of the HCCH motif and the role of zinc in stabilizing the structure of Vif

Periplasmic Binding Protein Dimer Has a Second Allosteric Event Tied to Ligand Binding

The ligand-induced conformational changes of periplasmic binding proteins (PBP) play a key role in the acquisition of metabolites in ATP binding cassette (ABC) transport systems. This conformational change allows for differential recognition of the ligand occupancy of the PBP by the ABC transporter. This minimizes futile ATP hydrolysis in the transporter, a phenomenon in which ATP hydrolysis is not coupled to metabolite transport. In many systems, the PBP conformational change is insufficient at eliminating futile ATP hydrolysis. Here we identify an additional state of the PBP that is also allosterically regulated by the ligand. Ligand binding to the homodimeric apo PBP leads to a tightening of the interface α-helices so that the hydrogen bonding pattern shifts to that of a 3₁₀ helix, in-turn altering the contacts and the dynamics of the protein interface so that the monomer exists in the presence of ligand

Development of in silico models to predict viscosity and mouse clearance using a comprehensive analytical data set collected on 83 scaffold-consistent monoclonal antibodies

ABSTRACTBiologic drug discovery pipelines are designed to deliver protein therapeutics that have exquisite functional potency and selectivity while also manifesting biophysical characteristics suitable for manufacturing, storage, and convenient administration to patients. The ability to use computational methods to predict biophysical properties from protein sequence, potentially in combination with high throughput assays, could decrease timelines and increase the success rates for therapeutic developability engineering by eliminating lengthy and expensive cycles of recombinant protein production and testing. To support development of high-quality predictive models for antibody developability, we designed a sequence-diverse panel of 83 effector functionless IgG1 antibodies displaying a range of biophysical properties, produced and formulated each protein under standard platform conditions, and collected a comprehensive package of analytical data, including in vitro assays and in vivo mouse pharmacokinetics. We used this robust training data set to build machine learning classifier models that can predict complex protein behavior from these data and features derived from predicted and/or experimental structures. Our models predict with 87% accuracy whether viscosity at 150 mg/mL is above or below a threshold of 15 centipoise (cP) and with 75% accuracy whether the area under the plasma drug concentration–time curve (AUC0–672 h) in normal mouse is above or below a threshold of 3.9 × 106 h x ng/mL