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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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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DyAb: sequence-based antibody design and property prediction in a low-data regime [PDF]
mAbsProtein therapeutic design and property prediction are frequently hampered by data scarcity. Here we propose a model, DyAb, that addresses these issues by leveraging a pair-wise representation to predict differences in binding affinity, rather than ...
Joshua Yao-Yu Lin +15 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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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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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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Current Advancements in Addressing Key Challenges of Therapeutic Antibody Design, Manufacture, and Formulation [PDF]
Antibodies, 2019 Therapeutic antibody technology heavily dominates the biologics market and continues to present as a significant industrial interest in developing novel and improved antibody treatment strategies.
Vicki Sifniotis +3 more
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