Class I terpene synthases generate the structural core of bioactive terpenoids. Deciphering structure-function relationships in the reactive closed complex and targeted engineering is hampered by highly dynamic carbocation rearrangements during catalysis. Available crystal structures, however, represent the open, catalytically inactive form or harbor nonproductive substrate analogs. Here, we present a catalytically relevant, closed conformation of taxadiene synthase (TXS), the model class I terpene synthase, which simulates the initial catalytic time point. In silico modeling of subsequent catalytic steps allowed unprecedented insights into the dynamic reaction cascades and promiscuity mechanisms of class I terpene synthases. This generally applicable methodology enables the active-site localization of carbocations and demonstrates the presence of an active-site base motif and its dominating role during catalysis. It additionally allowed in silico-designed targeted protein engineering that unlocked the path to alternate monocyclic and bicyclic synthons representing the basis of a myriad of bioactive terpenoids.computational biology | closed complex modeling | protein engineering | terpene synthases | terpene synthase catalysis

Recombinant human erythropoetin (EPO) is an important biopharmaceutical mainly used for the treatment of anemia. It is highly heterogeneous because of common amino acid chemical degradations known to occur in protein therapeutics (e.g., oxidation and deamidation) and its complex glycosylation profile. Recently, multi-attribute monitoring (MAM), i.e., the quantification of multiple post-translational and chemical modifications in a single peptide mapping liquid chromatography–mass spectrometry (LC-MS)-based method, has received increased attention for the analysis of antibody-like biotherapeutic proteins. In this study, an MAM method for examination of residue-specific glycan profiles of EPO was established. The MAM method, by virtue of the increased sensitivity and selectivity provided with LC-MS, yielded additional site-specific information not afforded by the conventional quality control (QC) methods. Low abundant glycans as well as additional post-translational and chemical modifications could also be simultaneously detected by the MAM method. Our results demonstrate that desialylated N-oligosaccharides (DeNO) and N-acetylneuraminic acids (Neu5Ac) could be monitored by the developed MAM approach with data readout highly comparable to QC methods, while differences were observed for charge isoform distribution. In summary, the comparative data obtained demonstrate that MAM by LC-MS peptide mapping can, in principle, adequately replace selected QC methods and would add value to the in-process control and release testing strategy of EPO.

The multi-attribute method (MAM), a liquid chromatography-mass spectrometry (LC-MS)-based peptide mapping method, has gained increased interest and applications in the biopharmaceutical industry. MAM can, in one method, provide targeted quantitation of multiple site-specific product quality attributes, as well as new peak detection. In this review, we focus on the scientific and regulatory considerations of using MAM in product quality attribute monitoring and quality control (QC) of therapeutic proteins. We highlight MAM implementation challenges and solutions with several case studies, and provide our perspective on the opportunities to use MS in QC for applications other than standard peptide mapping-based MAM.

Glycosylation represents a critical quality attribute modulating a myriad of physiochemical properties and effector functions of biotherapeutics. Furthermore, a rising landscape of glycosylated biotherapeutics including biosimilars, biobetters, and fusion proteins harboring complicated and dynamic glycosylation profiles requires tailored analytical approaches capable of characterizing their heterogeneous nature. In this work, we perform in-depth evaluation of the glycosylation profiles of three glycoengineered variants of the widely used biotherapeutic erythropoietin. We analyzed these samples in parallel using a glycopeptide-centric liquid chromatography/mass spectrometry approach and high-resolution native mass spectrometry. Although for all of the studied variants the glycopeptide and native mass spectrometry data were in good qualitative agreement, we observed substantial quantitative differences arising from ionization deficiencies and unwanted neutral losses, in particular, for sialylated glycopeptides in the glycoproteomics approach. However, the latter provides direct information about glycosite localization. We conclude that the combined parallel use of native mass spectrometry and bottom-up glycoproteomics offers superior characterization of glycosylated biotherapeutics and thus provides a valuable attribute in the characterization of glycoengineered proteins and other complex biotherapeutics.

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