Literature DB >> 29694051

Protein Aggregation and Performance Optimization Based on Microconformational Changes of Aromatic Hydrophobic Regions.

Lili Wen1, Man Lyu1, Huashuai Xiao1, Hairong Lan1, Zhili Zuo2, Zongning Yin1.   

Abstract

Protein aggregation is a key concern in biopharmaceutical development and manufacturing. There is growing interest in understanding how the changes in protein microconformation affect the aggregation behavior. This study selected several representative proteins and first manipulated microconformational changes of the aromatic hydrophobic regions of proteins, especially tryptophan residues, by using amine or guanidine additives. The effects of the interactions between the additives and proteins on the aromatic hydrophobic regions could be grouped into three categories: exposure to solvent, burial into core, and no change. The microconformational parameters of the tryptophan residue, including fluorescence peak position (λm), degree of hydrolysis, solvent accessible surface area ( SAS), and packing density ( Den), were obtained by steady-state fluorescence spectroscopy, proteolysis coupled with electrophoresis, and molecular dynamics simulation. Furthermore, the aggregation degrees of globular proteins with distinct surface aromatic hydrophobilities under mechanical stress were investigated. A strong correlation was observed between protein aggregation and the microconformational changes of the aromatic hydrophobic regions incurred by amine or guanidine additives. Protein aggregation was enhanced when the aromatic hydrophobic regions were exposed to the solvent but suppressed when the additives led to burial of the aromatic hydrophobic regions with lower-polarity microenvironment. These findings shed light on the relationship between protein aggregation and molecular conformation and paved way for future preformulation studies of therapeutic proteins.

Entities:  

Keywords:  amine compounds; aromatic hydrophobic regions; guanidine compounds; microconformational change; protein aggregation

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Year:  2018        PMID: 29694051     DOI: 10.1021/acs.molpharmaceut.8b00115

Source DB:  PubMed          Journal:  Mol Pharm        ISSN: 1543-8384            Impact factor:   4.939


  2 in total

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Authors:  Yuexi Yang; Zhoujieyu Ji; Cheng Wu; Yin-Yi Ding; Zhenyu Gu
Journal:  RSC Adv       Date:  2020-11-09       Impact factor: 4.036

2.  Hampering the early aggregation of PrP-E200K protein by charge-based inhibitors: a computational study.

Authors:  Mariangela Agamennone; Loriano Storchi; Alessandro Marrone; Roberto Paciotti
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  2 in total

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