We report a structure-based approach to design peptides that can bind to aggregation-prone, partially folded intermediates (PFI) of insulin, thereby inhibiting early stages of aggregation nucleation. We account for the important role of the modular architecture of protein–protein binding interfaces and tertiary structure heterogeneity of the PFIs in the design of peptide inhibitors. The determination of association hotspots revealed that two interface segments are required to capture majority contribution to insulin homodimer binding energy. The selection of peptides that will have a high probability to inhibit insulin self-association was done on the basis of similarity in binding interface coverage of PFI residues in the peptide–PFI complex and the native–PFI dimer. Data on aggregate growth rate and secondary structure for formulations incubated under amyloidogenic conditions show that designed peptides inhibit insulin aggregation in a concentration-dependent manner. The mechanism of aggregation inhibition was probed by determining the enthalpy of peptide–insulin binding and peptide micellization using isothermal titration calorimetry. Finally, the effect of designed peptides on insulin activity was quantified using a spectrophotometric assay for glucose uptake by HepG2 cells.

Biopharmaceuticals are one of the fastest-growing sectors in the biotechnology industry. Within the umbrella of biopharmaceuticals, the biosimilar segment is expanding with currently over 200 approved biosimilars, globally. The key step towards achieving a successful biosimilar approval is to establish analytical and clinical biosimilarity with the innovator. The objective of an analytical biosimilarity study is to demonstrate a highly similar profile with respect to variations in critical quality attributes (CQAs) of the biosimilar product, and these variations must lie within the range set by the innovator. This comprises a detailed comparative structural and functional characterization using appropriate, validated analytical methods to fingerprint the molecule and helps reduce the economic burden towards regulatory requirement of extensive preclinical/clinical similarity data, thus making biotechnological drugs more affordable. In the last decade, biosimilar manufacturing and associated regulations have become more established, leading to numerous approvals. Biosimilarity assessment exercises conducted towards approval are also published more frequently in the public domain. Consequently, some technical advancements in analytical sciences have also percolated to applications in analytical biosimilarity assessment. Keeping this in mind, this review aims at providing a holistic view of progresses in biosimilar analysis and approval. In this review, we have summarized the major developments in the global regulatory landscape with respect to biosimilar approvals and also catalogued biosimilarity assessment studies for recombinant DNA products available in the public domain. We have also covered recent advancements in analytical methods, orthogonal techniques, and platforms for biosimilar characterization, since 2015. The review specifically aims to serve as a comprehensive catalog for published biosimilarity assessment studies with details on analytical platform used and critical quality attributes (CQAs) covered for multiple biotherapeutic products. Through this compilation, the emergent evolution of techniques with respect to each CQA has also been charted and discussed. Lastly, the information resource of published biosimilarity assessment studies, created during literature search is anticipated to serve as a helpful reference for biopharmaceutical scientists and biosimilar developers.

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