Found: 20
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STCRDab: the structural T-cell receptor database.
- Published in:
- Nucleic Acids Research, 2018, v. 46, n. D1, p. D406, doi. 10.1093/nar/gkx971
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- Publication type:
- Article
SAbPred: a structure-based antibody prediction server.
- Published in:
- Nucleic Acids Research, 2016, v. 44, n. W1, p. W474, doi. 10.1093/nar/gkw361
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- Publication type:
- Article
SAbDab: the structural antibody database.
- Published in:
- Nucleic Acids Research, 2014, v. 42, n. D1, p. D1140, doi. 10.1093/nar/gkt1043
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- Publication type:
- Article
AbDiver: a tool to explore the natural antibody landscape to aid therapeutic design.
- Published in:
- Bioinformatics, 2022, v. 38, n. 9, p. 2628, doi. 10.1093/bioinformatics/btac151
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- Publication type:
- Article
MS2AI: automated repurposing of public peptide LC-MS data for machine learning applications.
- Published in:
- Bioinformatics, 2022, v. 38, n. 3, p. 875, doi. 10.1093/bioinformatics/btab701
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- Publication type:
- Article
Variability analysis of LC-MS experimental factors and their impact on machine learning.
- Published in:
- GigaScience, 2023, v. 12, n. 1, p. 1, doi. 10.1093/gigascience/giad096
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- Publication type:
- Article
Structurally Mapping Antibody Repertoires.
- Published in:
- Frontiers in Immunology, 2018, p. N.PAG, doi. 10.3389/fimmu.2018.01698
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- Publication type:
- Article
How B-Cell Receptor Repertoire Sequencing Can Be Enriched with Structural Antibody Data.
- Published in:
- Frontiers in Immunology, 2017, p. 1, doi. 10.3389/fimmu.2017.01753
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- Publication type:
- Article
Correction: Quantifying Online News Media Coverage of the COVID-19 Pandemic: Text Mining Study and Resource.
- Published in:
- 2021
- By:
- Publication type:
- corrected article
Quantifying Online News Media Coverage of the COVID-19 Pandemic: Text Mining Study and Resource.
- Published in:
- 2021
- By:
- Publication type:
- journal article
Quantifying Changes in Vaccine Coverage in Mainstream Media as a Result of the COVID-19 Outbreak: Text Mining Study.
- Published in:
- JMIR Infodemiology, 2022, v. 2, n. 2, p. 406, doi. 10.2196/35121
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- Publication type:
- Article
Machine-designed biotherapeutics: opportunities, feasibility and advantages of deep learning in computational antibody discovery.
- Published in:
- Briefings in Bioinformatics, 2022, v. 23, n. 4, p. 1, doi. 10.1093/bib/bbac267
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- Publication type:
- Article
Computational approaches to therapeutic antibody design: established methods and emerging trends.
- Published in:
- Briefings in Bioinformatics, 2020, v. 21, n. 5, p. 1549, doi. 10.1093/bib/bbz095
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- Publication type:
- Article
Progress and challenges in predicting protein interfaces.
- Published in:
- Briefings in Bioinformatics, 2016, v. 17, n. 1, p. 117, doi. 10.1093/bib/bbv027
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- Publication type:
- Article
LAP: Liability Antibody Profiler by sequence & structural mapping of natural and therapeutic antibodies.
- Published in:
- PLoS Computational Biology, 2024, v. 20, n. 3, p. 1, doi. 10.1371/journal.pcbi.1011881
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- Publication type:
- Article
Benchmarking antibody clustering methods using sequence, structural, and machine learning similarity measures for antibody discovery applications.
- Published in:
- Frontiers in Molecular Biosciences, 2024, p. 1, doi. 10.3389/fmolb.2024.1352508
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- Publication type:
- Article
The evolution of contact prediction: evidence that contact selection in statistical contact prediction is changing.
- Published in:
- Bioinformatics, 2020, v. 36, n. 6, p. 1750, doi. 10.1093/bioinformatics/btz816
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- Publication type:
- Article
In silico structural modeling of multiple epigenetic marks on DNA.
- Published in:
- Bioinformatics, 2018, v. 34, n. 1, p. 41, doi. 10.1093/bioinformatics/btx516
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- Publication type:
- Article
Improving B-cell epitope prediction and its application to global antibody-antigen docking.
- Published in:
- Bioinformatics, 2014, v. 30, n. 16, p. 2288, doi. 10.1093/bioinformatics/btu190
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- Publication type:
- Article
Antibody i-Patch prediction of the antibody binding site improves rigid local antibody–antigen docking.
- Published in:
- PEDS: Protein Engineering, Design & Selection, 2013, v. 26, n. 10, p. 621, doi. 10.1093/protein/gzt043
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- Publication type:
- Article