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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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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A disruptive clickable antibody design for the generation of antibody-drug conjugates. [PDF]
Antib Ther, 2023 Abstract Background Antibody-drug conjugates are cancer therapeutics that combine specificity and toxicity. A highly cytotoxic drug is covalently attached to an antibody that directs it to cancer cells.
Rakotoarinoro N +5 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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Ensembles in solution as a new paradigm for antibody structure prediction and design
mAbs, 2021 The rise of antibodies as a promising and rapidly growing class of biotherapeutic proteins has motivated numerous studies to characterize and understand antibody structures.
Monica L. Fernández-Quintero +3 more
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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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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.
europepmc +4 more sources
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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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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