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Ariki R.,University of Tsukuba | Hirano A.,University of Tsukuba | Arakawa T.,Alliance Protein Laboratories | Shiraki K.,University of Tsukuba
Journal of Biochemistry | Year: 2011

We have recently proposed the application of solubilizing effects of arginine to poorly soluble aromatic compounds for drug discovery research. In this study, we compared the solubilizing effects of arginine with those of other amino acids, salts and a surfactant using alkyl gallates as model drug substances of low aqueous solubility. The solubilizing effects of arginine on the alkyl gallates were distinct compared with those of other amino acids and salts; the effects were even greater than those achieved using a strongly chaotropic guanidinium ion. Transfer free energy of the alkyl gallates from water to arginine solution depended weakly on their dissolution free energy in water, which is in contrast to sodium dodecyl sulphate that showed strong dependence. The present results suggest that arginine solubilizes alkyl gallates through interaction with the aromatic moiety and sodium dodecyl sulphate does so by interacting with alkyl groups. © 2011 The Authors. Source

Shikiya Y.,University of Tsukuba | Tomita S.,University of Tokyo | Arakawa T.,Alliance Protein Laboratories | Shiraki K.,University of Tsukuba
PLoS ONE | Year: 2013

Nonspecific adsorption of protein on solid surfaces causes a reduction of concentration as well as enzyme inactivation during purification and storage. However, there are no versatile inhibitors of the adsorption between proteins and solid surfaces at low concentrations. Therefore, we examined additives for the prevention of protein adsorption on polystyrene particles (PS particles) as a commonly-used material for vessels such as disposable test tubes and microtubes. A protein solution was mixed with PS particles, and then adsorption of protein was monitored by the concentration and activity of protein in the supernatant after centrifugation. Five different proteins bound to PS particles through electrostatic, hydrophobic, and aromatic interactions, causing a decrease in protein concentration and loss of enzyme activity in the supernatant. Among the additives, including arginine hydrochloride (Arg), lysine hydrochloride, guanidine hydrochloride, NaCl, glycine, and glucose, Arg was most effective in preventing the binding of proteins to PS particles as well as activity loss. Moreover, even after the mixing of protein and PS particles, the addition of Arg caused desorption of the bound protein from PS particles. This study demonstrated a new function of Arg, which expands the potential for application of Arg to proteins. © 2013 Shikiya et al. Source

Inoue N.,University of Tsukuba | Takai E.,University of Tsukuba | Arakawa T.,Alliance Protein Laboratories | Shiraki K.,University of Tsukuba
Molecular Pharmaceutics | Year: 2014

Unacceptably high viscosity is observed in high protein concentration formulations due to extremely large therapeutic dose of antibodies and volume restriction of subcutaneous route of administration. Here, we show that a protein aggregation suppressor, arginine hydrochloride (ArgHCl), specifically decreases viscosity of antibody formulations. The viscosities of bovine gamma globulin (BGG) solution at 250 mg/mL and human gamma globulin (HGG) solution at 292 mg/mL at a physiological pH were too high for subcutaneous injections, but decreased to an acceptable level (below 50 cP) in the presence of 1,000 mM ArgHCl. ArgHCl also decreased the viscosity of BGG solution at acidic and alkaline pHs. Interestingly, ArgHCl decreased the viscosity of antibody solutions (BGG, HGG, and human immunoglobulin G) but not globular protein solutions (α-amylase and α-chymotrypsin). These results indicate not only high potency of ArgHCl as an excipient to decrease the solution viscosity of high concentration antibodies formulations but also specific interactions between ArgHCl and antibodies. © 2014 American Chemical Society. Source

Hirano A.,Japan National Institute of Advanced Industrial Science and Technology | Arakawa T.,Alliance Protein Laboratories | Kameda T.,Japan National Institute of Advanced Industrial Science and Technology
Journal of Chromatography A | Year: 2014

This study highlights the ability of arginine to elute bovine serum albumin (BSA) and a monoclonal antibody against interleukin-8 (mAb-IL8) from Capto MMC, which is a multimodal cation exchanger. Arginine provides high recovery of monomeric BSA from Capto MMC chromatography columns at yields similar to NaCl elution, and oligomeric BSA was more readily eluted by arginine than by NaCl. The effectiveness of arginine as an eluent also enabled the separation of monomeric BSA from the oligomeric forms. The purification of mAb-IL8 was successfully achieved using Capto MMC chromatography and arginine as the eluent. The mechanism of the effects of arginine on protein elution was determined by calculating the binding free energy between arginine and Capto MMC using molecular dynamics simulations. The overall affinity of arginine for Capto MMC was associated with electrostatic interactions. However, additional affinities contributed by hydrophobic interaction or hydrogen bonding were also observed to play a role in the interaction between arginine and Capto MMC, which likely results in the characteristic elution by arginine. © 2014 Elsevier B.V. Source

Brown and coworkers (Eur. Biophys. J. 38 (2009) 1079-1099) introduced partial boundary modeling (PBM) to simplify sedimentation velocity data analysis by excluding species outside the range of interest (e.g., aggregates, impurities) via restricting the sedimentation coefficient range being fitted. They strongly criticized the alternate approach of fitting g(s z.ast;) distributions using similar range limits, arguing that (i) it produces "nonoptimal fits in the original data space" and (ii) the g(s z.ast;) data transformations lead to gross underestimates of the parameter confidence intervals. It is shown here that neither of those criticisms is valid. These two approaches are not truly fitting the same data or in equivalent ways; thus, they should not actually give the same best-fit parameters. The confidence limits for g(s z.ast;) fits derived using F statistics, bootstrap, or a new Monte Carlo algorithm are in good agreement and show no evidence for significant statistical distortion. Here 15 g(s z.ast;) measurements on monoclonal antibody samples gave monomer mass estimates with experimental standard deviations of less than 1%, close to the confidence limit estimates. Tests on both real and simulated data help to clarify the strengths and drawbacks of both approaches. New algorithms for computing g(s z.ast;) and a scan-differencing approach for PBM are introduced. © 2011 Elsevier Inc. All rights reserved. Source

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