Protein engineering techniques have vastly expanded their domain of impact, notably following the success of antibodies. Likewise, smaller peptide therapeutics have carved an increasingly significant niche for themselves in the pharmaceutical landscape. The concept of grafting such peptides onto larger protein scaffolds, thus harvesting the advantages of both, has given rise to a variety of protein engineering strategies that are reviewed herein. We also describe our own "Lasso-Grafting" approach, which combines traditional grafting concepts with mRNA display to streamline the production of multiple grafted drug candidates for virtually any target.
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http://dx.doi.org/10.1002/cplu.202400152 | DOI Listing |
Alzheimers Dement
December 2024
Theme Inflammation and Aging, Karolinska University Hospital, Stockholm, Sweden.
Background: Alzheimer disease (AD) is a progressive neurodegenerative disease that is accountable for the leading case of dementia in elder people. Before, only symptomatic treatments are available for AD. Since 2021, two anti-amyloid antibodies aducanumab and lecanemab have been approved by the US Food and Drug Administration.
View Article and Find Full Text PDFJ Phys Chem B
January 2025
Department of Life Science and Applied Chemistry, Graduate School of Engineering, Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya 466-8555, Japan.
The light-harvesting pigment-protein complex II (LHCII) from plants can be used as a component for biohybrid photovoltaic devices, acting as a photosensitizer to increase the photocurrent generated when devices are illuminated with sunlight. LHCII is effective at photon absorption in the red and blue regions of the visible spectrum, however, it has low absorption in the green region (550-650 nm). Previous studies have shown that synthetic chromophores can be used to fill this spectral gap and transfer additional energy to LHCII, but it was uncertain whether this would translate into an improved performance for photovoltaics.
View Article and Find Full Text PDFDrug Deliv
December 2025
Biomedical Materials and Devices for Revolutionary Integrative Systems Engineering (BMD-RISE) Research Unit, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand.
Biopolymers, such as collagens, elastin, silk fibroin, spider silk, fibrin, keratin, and resilin have gained significant interest for their potential biomedical applications due to their biocompatibility, biodegradability, and mechanical properties. This review focuses on the design and integration of biomimetic peptides into these biopolymer platforms to control the release of bioactive molecules, thereby enhancing their functionality for drug delivery, tissue engineering, and regenerative medicine. Elastin-like polypeptides (ELPs) and silk fibroin repeats, for example, demonstrate how engineered peptides can mimic natural protein domains to modulate material properties and drug release profiles.
View Article and Find Full Text PDFFASEB J
January 2025
Department of Hematology, Nephrology, and Rheumatology, Graduate School of Medicine, Akita University, Akita, Japan.
Various tubular diseases in patients with multiple myeloma (MM) are caused by monoclonal immunoglobulin light chains (LCs). However, the physicochemical characteristics of the disease-causing LCs contributing to the onset of MM-associated tubular diseases remain unclear. We herein report a rare case of MM-associated combined tubulopathies: non-crystalline light chain proximal tubulopathy (LCPT) and crystalline light chain cast nephropathy (LCCN).
View Article and Find Full Text PDFNAR Genom Bioinform
March 2025
Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.
Evaluating the accuracy of protein-coding sequences in genome annotations is a challenging problem for which there is no broadly applicable solution. In this manuscript, we introduce PSAURON (Protein Sequence Assessment Using a Reference ORF Network), a novel software tool developed to help assess the quality of protein-coding gene annotations. Utilizing a machine learning model trained on a diverse dataset from over 1000 plant and animal genomes, PSAURON assigns a score to coding DNA or protein sequence that reflects the likelihood that the sequence is a genuine protein-coding region.
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