i-shaped antibody engineering enables conformational tuning of biotherapeutic receptor agonists [PDF]
Nature CommunicationsThe ability to leverage antibodies to agonize disease relevant biological pathways has tremendous potential for clinical investigation. Yet while antibodies have been successful as antagonists, immune mediators, and targeting agents, they are not readily
Matthew G. Romei +16 more
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Antibody Engineering for Pursuing a Healthier Future. [PDF]
Front Microbiol, 2017 Since the development of antibody-production techniques, a number of immunoglobulins have been developed on a large scale using conventional methods. Hybridoma technology opened a new horizon in the production of antibodies against target antigens of ...
Saeed AF, Wang R, Ling S, Wang S.
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Next generation of multispecific antibody engineering. [PDF]
Antib Ther, 2023 Multispecific antibodies recognize two or more epitopes located on the same or distinct targets. This added capability through protein design allows these man-made molecules to address unmet medical needs that are no longer possible with single targeting
Keri D +4 more
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Outsmarting Pathogens with Antibody Engineering. [PDF]
Annu Rev Chem Biomol Eng, 2023 There is growing interest in identifying antibodies that protect against infectious diseases, especially for high-risk individuals and pathogens for which no vaccine is yet available. However, pathogens that manifest as opportunistic or latent infections
Qerqez AN, Silva RP, Maynard JA.
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Simplifying complex antibody engineering using machine learning. [PDF]
Cell Syst, 2023 Machine learning is transforming antibody engineering by enabling the generation of drug-like monoclonal antibodies with unprecedented efficiency. Unsupervised algorithms trained on massive and diverse protein sequence datasets facilitate the prediction ...
Makowski EK, Chen HT, Tessier PM.
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AI Models for Protein Design are Driving Antibody Engineering. [PDF]
Curr Opin Biomed Eng, 2023 Therapeutic antibody engineering seeks to identify antibody sequences with specific binding to a target and optimized drug-like properties. When guided by deep learning, antibody generation methods can draw on prior knowledge and experimental efforts to ...
Chungyoun M, Gray JJ.
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Antibody Engineering for Nuclear Imaging and Radioimmunotherapy. [PDF]
J Nucl Med, 2022 Radiolabeled antibodies have become indispensable tools in nuclear medicine. However, the natural roles of antibodies within the immune system mean that they have several intrinsic limitations as a platform for radiopharmaceuticals.
Rodriguez C +4 more
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Unlocking the potential of agonist antibodies for treating cancer using antibody engineering. [PDF]
Trends Mol Med, 2023 Agonist antibodies that target immune checkpoints, such as those in the tumor necrosis factor receptor (TNFR) superfamily, are an important class of emerging therapeutics due to their ability to regulate immune cell activity, especially for treating ...
Jhajj HS, Lwo TS, Yao EL, Tessier PM.
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Strategies to mitigate the on- and off-target toxicities of recombinant immunotoxins: an antibody engineering perspective. [PDF]
Antib Ther, 2022 Targeted cancer therapies using immunotoxins have achieved remarkable efficacy in hematological malignancies. However, the clinical development of immunotoxins is also faced with many challenges like anti-drug antibodies and dose-limiting toxicity issues.
Li M, Mei S, Yang Y, Shen Y, Chen L.
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Importance and Considerations of Antibody Engineering in Antibody-Drug Conjugates Development from a Clinical Pharmacologist's Perspective. [PDF]
Antibodies (Basel), 2021 Antibody-drug conjugates (ADCs) appear to be in a developmental boom, with five FDA approvals in the last two years and a projected market value of over $4 billion by 2024. Major advancements in the engineering of these novel cytotoxic drug carriers have
Lucas AT +3 more
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