Research map: Beyond Affinity: AI-Supported Developability Assessment and Multi-Objective Optimization in Antibody Development
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Papers in this map
- Evolutionary-scale prediction of atomic-level protein structure with a language model · Zeming Lin · 2023 · 5594 citations · Cited by this paper
- The evolving landscape of enzymatic technologies for precision synthesis of antibody–drug conjugates · 2026 · Related
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- ProteinBERT: a universal deep-learning model of protein sequence and function · Nadav Brandes · 2022 · 1068 citations · Cited by this paper
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- SAbDab: the structural antibody database · James B. Dunbar · 2013 · 763 citations · Cited by this paper
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- SOLpro: accurate sequence-based prediction of protein solubility · Christophe N. Magnan · 2009 · 709 citations · Cited by this paper
- Integrative and Emerging Models in Antibody Research: A Comprehensive Review · 2025 · Related
- Biophysical properties of the clinical-stage antibody landscape · Tushar S. Jain · 2017 · 661 citations · Cited by this paper
- ASD: antigen-specific antibody database · 2026 · Related
- IEDB-AR: immune epitope database—analysis resource in 2019 · Sandeep Kumar Dhanda · 2019 · 455 citations · Cited by this paper
- Energy-based generative models for monoclonal antibodies · 2025 · Related
- CoV-AbDab: the coronavirus antibody database · Matthew I. J. Raybould · 2020 · 439 citations · Cited by this paper
- Structure and function of therapeutic antibodies approved by the US FDA in 2024 · 2025 · Related
- Pharmacokinetics of monoclonal antibodies and Fc-fusion proteins · Liu Liming · 2017 · 399 citations · Cited by this paper
- Prediction of antibody non-specificity using protein language models and biophysical parameters · 2026 · Related
- Five computational developability guidelines for therapeutic antibody profiling · Matthew I. J. Raybould · 2019 · 389 citations · Cited by this paper
- A high-throughput platform for biophysical antibody developability assessment to enable AI/ML model training · 2025 · Related
- Observed Antibody Space: A diverse database of cleaned, annotated, and translated unpaired and paired antibody sequences · Tobias Hegelund Olsen · 2021 · 366 citations · Cited by this paper
- ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins · Brennan Abanades · 2023 · 330 citations · Cited by this paper
- The Molecular Mechanisms That Underlie the Immune Biology of Anti-drug Antibody Formation Following Treatment With Monoclonal Antibodies · Anna Vaisman‐Mentesh · 2020 · 293 citations · Cited by this paper
- SaProt: Protein Language Modeling with Structure-aware Vocabulary · Jin Su · 2023 · 252 citations · Cited by this paper
- Predicting Antibody Developability Profiles Through Early Stage Discovery Screening · Marc Andre Bailly · 2020 · 235 citations · Cited by this paper
- Thera-SAbDab: the Therapeutic Structural Antibody Database · Matthew I. J. Raybould · 2019 · 224 citations · Cited by this paper
- Aggregation of protein therapeutics enhances their immunogenicity: causes and mitigation strategies · Mimmi L. E. Lundahl · 2021 · 203 citations · Cited by this paper
- BioPhi: A platform for antibody design, humanization, and humanness evaluation based on natural antibody repertoires and deep learning · David Příhoda · 2022 · 201 citations · Cited by this paper
- Discovery of nanobodies: a comprehensive review of their applications and potential over the past five years · Elena Alexander · 2024 · 193 citations · Cited by this paper
- Immunogenicity of immunomodulatory, antibody-based, oncology therapeutics · Jasmine P. Davda · 2019 · 179 citations · Cited by this paper
- Understanding and overcoming trade-offs between antibody affinity, specificity, stability and solubility · Lilia A. Rabia · 2018 · 165 citations · Cited by this paper
- ABlooper: fast accurate antibody CDR loop structure prediction with accuracy estimation · Brennan Abanades · 2022 · 163 citations · Cited by this paper
- Antibodypedia, a Portal for Sharing Antibody and Antigen Validation Data · Erik Björling · 2008 · 153 citations · Cited by this paper
- Computational tool for the early screening of monoclonal antibodies for their viscosities · Neeraj J. Agrawal · 2015 · 138 citations · Cited by this paper
- Development of therapeutic antibodies for the treatment of diseases · Zeng Wang · 2022 · 136 citations · Cited by this paper
- Humanization of antibodies using a machine learning approach on large-scale repertoire data · Claire Marks · 2021 · 134 citations · Cited by this paper
- PaRSnIP: sequence-based protein solubility prediction using gradient boosting machine · Reda Rawi · 2017 · 120 citations · Cited by this paper
- Aggregation risk prediction for antibodies and its application to biotherapeutic development · Olga Obrezanova · 2015 · 112 citations · Cited by this paper
- Machine learning prediction of antibody aggregation and viscosity for high concentration formulation development of protein therapeutics · Pin‐Kuang Lai · 2022 · 108 citations · Cited by this paper
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