ArticlemAbs2019
Targets for MAbs: innovative approaches for their discovery & validation, LabEx MAbImprove 6
Article in mAbs, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Deep Mining of Complex Antibody Phage Pools.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Accelerating target deconvolution for therapeutic antibody candidates using highly parallelized genome editing.Nature communications · 2021Article
- Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Monoclonal antibodies (mAbs) have revolutionized the treatment landscape in many disciplines of human medicine. To continue this exciting trend, sustained identification of new, validated and preferably functional targets are needed. However, this is the precise bottleneck in today's development of the next generation of therapeutic mAbs. Failures in translating a target into a successful therapeutic mAb are much more frequent than successes. Labex MAbImprove is a French-led consortium of academic laboratories jointly working on several aspects of the development of next-generation mAbs. The network organizes annual international meetings gathering academia and industry to discuss the different challenges faced in the therapeutic mAbs field. The 2018 symposium (also called AIS2018 and co-organized with MabDesign, the immunotherapy French industrial sector) focused on the discovery and validation of new targets for therapeutic mAbs. Key players from industry and academia outlined a number of exciting contributions, notably dealing with new innovations in the target discovery area, but also lessons learned from failures in the past. This report summarizes the talks presented at the AIS2018. We aim at broad dissemination of the most relevant, unpublished findings presented during the meeting, and hope to inspire all the contributors in this field to take new directions and bring about improvements.
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Identifiers
What 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.