ReviewInternational journal of molecular sciences2022
Recent Advances and Future Directions in Downstream Processing of Therapeutic Antibodies.
Review in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Advances in Downstream Processing of Monoclonal Antibodies.Antibodies (Basel, Switzerland) · 2026Review
- Bioprocess Design and Optimization of Extracellular Vesicles Derived from Mesenchymal Stromal Cells.ACS nano · 2026Article
- Optical Coherence Tomography Velocimetry for In-Line Processing of Biologics: Concentrated and Gelling Monoclonal Antibody Solutions.ACS engineering Au · 2026Article
- The landscape of antibody production systems: recombinant expression for research, diagnostics and therapy.Frontiers in bioengineering and biotechnology · 2026Review
- Current PAT Landscape in the Downstream Processing of Biopharmaceuticals.Analytical science advances · 2025Review
- Purification of Monoclonal Antibodies Using Chromatographic Methods: Increasing Purity and Recovery.Advanced pharmaceutical bulletin · 2025Review
- Assessing the Manufacturability and Critical Quality Attribute Profiles of Anti-IL-8 Immunoglobulin G Mutant Variants.Molecular pharmaceutics · 2024Article
- In vivo mRNA expression of a multi-mechanistic mAb combination protects against Staphylococcus aureus infection.Molecular therapy : the journal of the American Society of Gene Therapy · 2024Article
- Modeling Chromatography Binding through Molecular Dynamics Simulations with Resin Fragments.The journal of physical chemistry. B · 2024Article
- Addressing challenging impurities in fusion proteins: A comprehensive review and cost-effective strategy for HCP and low molecular weight species control.Biotechnology progressReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite the advent of many new therapies, therapeutic monoclonal antibodies remain a prominent biologics product, with a market value of billions of dollars annually. A variety of downstream processing technological advances have led to a paradigm shift in how therapeutic antibodies are developed and manufactured. A key driver of change has been the increased adoption of single-use technologies for process development and manufacturing. An early-stage developability assessment of potential lead antibodies, using both in silico and high-throughput experimental approaches, is critical to de-risk development and identify molecules amenable to manufacturing. Both statistical and mechanistic modelling approaches are being increasingly applied to downstream process development, allowing for deeper process understanding of chromatographic unit operations. Given the greater adoption of perfusion processes for antibody production, continuous and semi-continuous downstream processes are being increasingly explored as alternatives to batch processes. As part of the Quality by Design (QbD) paradigm, ever more sophisticated process analytical technologies play a key role in understanding antibody product quality in real-time. We should expect that computational prediction and modelling approaches will continue to be advanced and exploited, given the increasing sophistication and robustness of predictive methods compared to the costs, time, and resources required for experimental studies.
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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.