2011
DOI: 10.1002/jps.22493
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Evaluation of a Non-Arrhenius Model for Therapeutic Monoclonal Antibody Aggregation

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Cited by 103 publications
(61 citation statements)
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References 85 publications
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“…The long term loss of monomer is generally predicted through quantitative monitoring of aggregation under accelerated and stress conditions over weeks to months. Recent progress has been made in: (i) the development of detailed kinetic models [2,4,5,34,42,49,60,96]; (ii) correlating aggregation kinetics with protein structure and folding [11,15,16,32,35,52,53,54,67,88]; (iii) and with native-state protein-protein interaction measurements [36,46,57,74,75,79,82].…”
Section: Introductionmentioning
confidence: 99%
“…The long term loss of monomer is generally predicted through quantitative monitoring of aggregation under accelerated and stress conditions over weeks to months. Recent progress has been made in: (i) the development of detailed kinetic models [2,4,5,34,42,49,60,96]; (ii) correlating aggregation kinetics with protein structure and folding [11,15,16,32,35,52,53,54,67,88]; (iii) and with native-state protein-protein interaction measurements [36,46,57,74,75,79,82].…”
Section: Introductionmentioning
confidence: 99%
“…(26). In most cases, upward curvature is observed for temperature-dependent protein aggregation, as seen for different types of monoclonal antibodies (26,57,58). Upward curvature for lnk obs vs. 1/T leads to an overestimation of E a values when extrapolated to low temperatures, and thus to an overestimation of the shelf life that will be gained by cooling to low-temperature conditions (26).…”
Section: Protein Aggregation and Its Temperature Dependencementioning
confidence: 97%
“…One is for a single-domain four-helix bundle protein, bovine granulocyte-colony stimulating factor (bG-CSF) (55). The other is for a monoclonal antibody (MAb) (57). The main panel shows the data over the full set of temperatures reported, which include both accelerated (high-T) and real-time conditions (room T and below).…”
Section: Possible Solutions For Non-arrhenius Aggregation Kineticsmentioning
confidence: 99%
“…20 Briefly, different functions were used for multi-peak fitting with the number of peaks for fitting being gradually increased. The best fit with the least number of peaks and fit parameters was achieved with 'exponential modified Gaussian functions'.…”
Section: Kinetics Of Surfactant Induced Virus-splitting With Fluorescmentioning
confidence: 99%