In Silico Methods in Antibody Design [PDF]
Antibodies, 2018 Antibody therapies with high efficiency and low toxicity are becoming one of the major approaches in antibody therapeutics. Based on high-throughput sequencing and increasing experimental structures of antibodies/antibody-antigen complexes, computational
Jun Zhao +3 more
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An optimized thermodynamics integration protocol for identifying beneficial mutations in antibody design [PDF]
Frontiers in Immunology, 2023 Accurate identification of beneficial mutations is central to antibody design. Many knowledge-based (KB) computational approaches have been developed to predict beneficial mutations, but their accuracy leaves room for improvement.
Zizhang Sheng +5 more
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In silico proof of principle of machine learning-based antibody design at unconstrained scale [PDF]
mAbs, 2022 Generative machine learning (ML) has been postulated to become a major driver in the computational design of antigen-specific monoclonal antibodies (mAb).
Rahmad Akbar +18 more
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Computer-aided antibody design. [PDF]
Protein Eng Des Sel, 2012 Recent clinical trials using antibodies with low toxicity and high efficiency have raised expectations for the development of next-generation protein therapeutics. However, the process of obtaining therapeutic antibodies remains time consuming and empirical.
Kuroda D +3 more
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Advances in Antibody Design. [PDF]
Annu Rev Biomed Eng, 2015 The use of monoclonal antibodies as therapeutics requires optimizing several of their key attributes. These include binding affinity and specificity, folding stability, solubility, pharmacokinetics, effector functions, and compatibility with the attachment of additional antibody domains (bispecific antibodies) and cytotoxic drugs (antibody–drug ...
Tiller KE, Tessier PM.
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Antibody-enabled structural biology and AI-driven antibody design [PDF]
Frontiers in PharmacologyMembrane proteins govern essential cellular processes, including ion transport, signal transduction, and molecular recognition, and collectively represent more than half of all current therapeutic targets.
Khuram U. Ashraf, Satchal K. Erramilli
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Leveraging Artificial Intelligence to Expedite Antibody Design and Enhance Antibody–Antigen Interactions [PDF]
BioengineeringThis perspective sheds light on the transformative impact of recent computational advancements in the field of protein therapeutics, with a particular focus on the design and development of antibodies.
Doo Nam Kim +2 more
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Artificial intelligence-driven computational methods for antibody design and optimization [PDF]
mAbsAntibodies play a crucial role in our immune system. Their ability to bind to and neutralize pathogens opens opportunities to develop antibodies for therapeutic and diagnostic use.
Luiz Felipe Vecchietti +7 more
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Revolutionizing oncology: the role of Artificial Intelligence (AI) as an antibody design, and optimization tools [PDF]
Biomarker ResearchAntibodies play a crucial role in defending the human body against diseases, including life-threatening conditions like cancer. They mediate immune responses against foreign antigens and, in some cases, self-antigens.
Varun Dewaker +5 more
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AI-based IsAb2.0 for antibody design. [PDF]
Brief BioinformAbstract Therapeutic antibody design has garnered widespread attention, highlighting its interdisciplinary importance. Advancements in technology emphasize the critical role of designing nanobodies and humanized antibodies in antibody engineering. However, current experimental methods are costly and time-consuming.
Liang T +10 more
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