Computational and artificial intelligence-based methods for antibody development

Kim, Jisun, McFee, Matthew, Fang, Qiao, Abdin, Osama, Kim, Philip M.·2023·Trends in Pharmacological Sciences

Cited by (178)

Items 101–178 of 178

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  8. In silico design of stable single-domain antibodies with high affinity
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  13. A Large Language Model Guides the Affinity Maturation of Variant Antibodies Generated by Combinatorial Optimization
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  14. AbBFN2: A flexible antibody foundation model based on Bayesian Flow Networks
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  15. MultiSAAl: Sequence-informed Antibody-Antigen Interactions Prediction using Multi-scale Deep Learning
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  16. AI Circuit Builder: Bridging Language & Logic
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  17. Epitope-directed monoclonal antibody production against Staphylococcus aureus enterotoxin B enabled by in silico immunogen design
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  19. Immunological Strategies for Enhancing Viral Neutralization and Protection in Antibody-Guided Vaccine Design
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  25. Reprogramming the SARS-CoV-1 Neutralizing Antibody S230 to SARS-CoV-2 via Directed Evolution and Molecular Docking-Based Binding Mode Analysis
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  27. Artificial intelligence advancements in monoclonal antibody development technology
    Manar Ammar, Mikhail Yu. Samsonov, Evgeniya Gurylina, Daniel R. Bayzigitov · 2026 · Frontiers in Immunology
  28. Recent applications of artificial intelligence in cancer radiotherapy and immunotherapy: current status and future directions
    Qingmiao Shi, Mengjuan Xuan, Chi Lv, Zhibo Zhang, Xiaonan Geng, Di Huang, Xinjun Hu · 2026 · Frontiers in Immunology
  29. Emerging precision medicine in multiple myeloma: clinical and preclinical landscape of T cell, natural killer cell, and macrophages engaging multi-specific antibodies
    Sarra Mestiri, Laila Assami, Zeenath Safira K. M. Yoosuf, Queenie Fernandes, Dina Moustafa Abo El-Ella, Hesham Elsabah, Maysaloun Merhi, Karama Makni‐Maalej, Honar Cherif, Said Dermime et al. · 2026 · Frontiers in Immunology
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  32. Machine-learning-based Structural Analysis of Interactions between Antibodies and Antigens
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  34. Artificial intelligence in antibody design and development: harnessing the power of computational approaches
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  35. Computational Analysis of Antibody Binding Mechanisms to the Omicron RBD of SARS-CoV-2 Spike Protein: Identification of Epitopes and Hotspots for Developing Effective Therapeutic Strategies
    Mohammed Alshahrani · 2023 · Chapman University Digital Commons (Chapman University)
  36. Novel antibody language model accelerates IgG screening and design for broad-spectrum antiviral therapy
    Hannah Faisal Almubarak, Wuwei Tan, Andrew Daniel Hoffmann, Yuanfei Sun, Juncheng Wei, Lamiaa El-Shennawy, Joshua R Squires, Nurmaa Khund Dashzeveg, Brooke Simonton, Yuzhi Jia et al. · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
  37. SARS-CoV-2 Neutralizing Antibodies 2.0
    Youchun Wang · 2024 · Viruses
  38. Can Large Language Models “Read” Biological Sequences? A Systematic Evaluation of In-Context Learning for Antibody Characterization
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  39. Predicting and Designing Red Fluorescent Protein Variants Using Sequence-to-Function Machine Learning Models
    Ran Ji, Jean Jung, Howard Cheng, Ella Y. Xu, Audrey Wang, Keith Pardee, Yufeng Zhao · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
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