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Recent advancements in disulfide bridge characterization: Insights from mass spectrometry

化学 质谱法 半胱氨酸 碎片(计算) 二硫键 组合化学 计算生物学 生物物理学 色谱法 生物 生物化学 生态学
作者
Sachin Chaturvedi,Sanket Bawake,Nitish Sharma
出处
期刊:Rapid Communications in Mass Spectrometry [Wiley]
卷期号:38 (7)
标识
DOI:10.1002/rcm.9713
摘要

Rationale Disulfide bridges (DSB) play an important role in stabilizing three‐dimensional structures of biopharmaceuticals, single purified proteins, and various cyclic peptide drugs that contain disulfide in their structures. Incorrect cross‐linking known as DSB scrambling results in misfolded structures that can be inactive, immunogenic, and susceptible to aggregation. Very few articles have been published on the experimental annotation of DSBs in proteins and cyclic peptide drugs. Accurate characterization of the disulfide bond is essential for understanding protein confirmation. Methods Characterizing DSBs using mass spectrometry (MS) involves the chemical and enzymatic digestion of samples to obtain smaller peptide fragments, in both reduced and nonreduced forms. Subsequently, these samples are analyzed using MS to locate the DSB, either through interpretation or by employing various software tools. Results The main challenge in DSB analysis methods using sample preparation is to obtain a sample solution in which nonnative DSBs are not formed due to high pH, temperature, and presence of free sulfhydryl groups. Formation of nonnative DSBs can lead to erroneous annotation of disulfide bond. Sample preparation techniques, fragmentation methods for DSB analysis, and contemporary approaches for DSB mapping using this fragmentation were discussed. Conclusions This review presents the latest advancement in MS‐based characterization; also a critical perspective is presented for further annotation of DSBs using MS, primarily for single purified proteins or peptides that are densely connected and rich in cysteine. Despite significant breakthroughs resulting from advancements in MS, the analysis of disulfide bonds is not straightforward; it necessitates expertise in sample preparation and interpretation.
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