ArticleBioinformatics (Oxford, England)2024
ABodyBuilder3: improved and scalable antibody structure predictions.
Article in Bioinformatics (Oxford, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
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- Closing the Translational Gap: Closed-Loop AI Discovery Frameworks for Experimental Validation and Clinical Implementation in Cancer Therapeutics.Cancer medicine · 2026Review
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- An intrinsic sequence-structural profile for mRNA-delivered therapeutic antibodies.Briefings in bioinformatics · 2026Article
- Disulphide and sequence-encoded conformational priors guide nanobody structure prediction.bioRxiv : the preprint server for biology · 2026Article
- Paraplume: A fast and accurate antibody paratope prediction method provides insights into repertoire-scale binding dynamics.PLoS computational biology · 2026Article
- Complementarity of Deep Learning and Physics-Based Approaches in the Design of New Antibodies.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Discovery and characterization of an anti-Frontiers in microbiology · 2026Article
- Article
- Artificial intelligence-driven computational methods for antibody design and optimization.mAbs · 2025Review
- Article
- Leveraging artificial intelligence in antibody-drug conjugate development: from target identification to clinical translation in oncology.NPJ precision oncology · 2025Review
- GhostFold: Accurate protein structure prediction using structure-constrained synthetic coevolutionary signals.bioRxiv : the preprint server for biology · 2025Article
- Integrative and Emerging Models in Antibody Research: A Comprehensive Review.Antibody therapeutics · 2025Review
- Exploring Experimental and In Silico Approaches for Antibody-Drug Conjugates in Oncology Therapies.Pharmaceuticals (Basel, Switzerland) · 2025Review
- Biophysics of SARS-CoV-2 spike protein's receptor-binding domain interaction with ACE2 and neutralizing antibodies: from computation to functional insights.Biophysical reviews · 2025Review
- Unveiling the new chapter in nanobody engineering: advances in traditional construction and AI-driven optimization.Journal of nanobiotechnology · 2025Review
- ParaSurf: a surface-based deep learning approach for paratope-antigen interaction prediction.Bioinformatics (Oxford, England) · 2025Article
- Improved prediction of antibody and their complexes with clustered generative modelling ensembles.Bioinformatics advances · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
summaryIn this article, we introduce ABodyBuilder3, an improved and scalable antibody structure prediction model based on ABodyBuilder2. We achieve a new state-of-the-art accuracy in the modelling of CDR loops by leveraging language model embeddings, and show how predicted structures can be further improved through careful relaxation strategies. Finally, we incorporate a predicted Local Distance Difference Test into the model output to allow for a more accurate estimation of uncertainties. AVAILABILITY AND IMPLEMENTATION: The software package is available at https://github.com/Exscientia/ABodyBuilder3 with model weights and data at https://zenodo.org/records/11354577.
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