ArticleNature protocols2014
Antibody modeling using the prediction of immunoglobulin structure (PIGS) web server [corrected].
Article in Nature protocols, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 35 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
35 citing papers in PubMed.
- Computational Methods in Immunology and Vaccinology: Design and Development of Antibodies and Immunogens.Journal of chemical theory and computation · 2023Review
- Production in Bacteria and Characterization of Engineered Humanized Fab Fragment against the Nodal Protein.Pharmaceuticals (Basel, Switzerland) · 2023Article
- Computational Modeling of Antibody and T-Cell Receptor (CDR3 Loops).Methods in molecular biology (Clifton, N.J.) · 2023Article
- VInternational journal of molecular sciences · 2022Review
- Quantitative Description of Surface Complementarity of Antibody-Antigen Interfaces.Frontiers in molecular biosciences · 2021Article
- 32A9, a novel human antibody for designing an immunotoxin and CAR-T cells against glypican-3 in hepatocellular carcinoma.Journal of translational medicine · 2020Article
- Learning context-aware structural representations to predict antigen and antibody binding interfaces.Bioinformatics (Oxford, England) · 2020Article
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- Antibody Specific B-Cell Epitope Predictions: Leveraging Information From Antibody-Antigen Protein Complexes.Frontiers in immunology · 2019Article
- Biotherapeutics: Challenges and Opportunities for Predictive Toxicology of Monoclonal Antibodies.International journal of molecular sciences · 2018Review
- Automated shape-based clustering of 3D immunoglobulin protein structures in chronic lymphocytic leukemia.BMC bioinformatics · 2018Article
- SWISS-MODEL: homology modelling of protein structures and complexes.Nucleic acids research · 2018Article
- Structure-function analysis and therapeutic efficacy of antibodies to fungal melanin for melanoma radioimmunotherapy.Scientific reports · 2018Article
- Role of Non-local Interactions between CDR Loops in Binding Affinity of MR78 Antibody to Marburg Virus Glycoprotein.Structure (London, England : 1993) · 2017Article
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- Promiscuous antibodies characterised by their physico-chemical properties: From sequence to structure and back.Progress in biophysics and molecular biology · 2017Article
- Rapid and accurate in silico solubility screening of a monoclonal antibody library.Scientific reports · 2017Article
- PIGSPro: prediction of immunoGlobulin structures v2.Nucleic acids research · 2017Article
- Applicability of predictive toxicology methods for monoclonal antibody therapeutics: status Quo and scope.Archives of toxicology · 2017Review
Corrections and comments
- Erratum issued
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Antibodies (or immunoglobulins) are crucial for defending organisms from pathogens, but they are also key players in many medical, diagnostic and biotechnological applications. The ability to predict their structure and the specific residues involved in antigen recognition has several useful applications in all of these areas. Over the years, we have developed or collaborated in developing a strategy that enables researchers to predict the 3D structure of antibodies with a very satisfactory accuracy. The strategy is completely automated and extremely fast, requiring only a few minutes (∼10 min on average) to build a structural model of an antibody. It is based on the concept of canonical structures of antibody loops and on our understanding of the way light and heavy chains pack together.
Indexed as
Identifiers
25375991What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.