ArticleThe AAPS journal2013
Factors influencing magnitude and duration of target inhibition following antibody therapy: implications in drug discovery and development.
Article in The AAPS journal, 2013. 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
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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.
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Who cites it
10 citing papers in PubMed, 13 citations in OpenAlex.
- A tethered yeast surface display system facilitates enriching epitope-specific binding interactions.Protein engineering, design & selection : PEDS · 2026Article
- Development of an mPBPK machine learning framework for early target pharmacology assessment of biotherapeutics.Scientific reports · 2025Article
- Mini-PBPK-Based Population Model and Covariate Analysis to Assess the Complex Pharmacokinetics and Pharmacodynamics of RO7449135, an Anti-KLK5/KLK7 Bispecific Antibody in Cynomolgus Monkeys.The AAPS journal · 2023Article
- Titrating Avidity of Yeast-Displayed Proteins Using a Transcriptional Regulator.ACS synthetic biology · 2023Article
- Development of New Strategies for Malaria Chemoprophylaxis: From Monoclonal Antibodies to Long-Acting Injectable Drugs.Tropical medicine and infectious disease · 2022Review
- Which factors matter the most? Revisiting and dissecting antibody therapeutic doses.Drug discovery today · 2021Review
- Injectable anti-malarials revisited: discovery and development of new agents to protect against malaria.Malaria journal · 2018Review
- AFIR: A Dimensionless Potency Metric for Characterizing the Activity of Monoclonal Antibodies.CPT: pharmacometrics & systems pharmacology · 2017Article
- A Tutorial on Target-Mediated Drug Disposition (TMDD) Models.CPT: pharmacometrics & systems pharmacology · 2015Article
- 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
3 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Antibodies or antibody-related fusion proteins binding to soluble antigens in plasma form an important subclass of approved therapeutics. Pharmaceutical companies are constantly trying to accelerate the pace of drug discovery and development of these antibodies and identify superior candidates in face of significant attrition rates. Understanding the interplay between drug- and target-related factors on magnitude and duration of target inhibition is imperative for successful advancement of these therapeutics. Simulations using a target-mediated drug disposition model were performed to evaluate the influence of antibody-target binding affinity, baseline target concentration, and target turnover on magnitude and duration of soluble target inhibition. These simulations assumed intravenous dosing of the antibody and evaluated multiple parameters over a wide range. These simulations reveal that improvement in affinity reaches a point of diminishing returns following which further improvement in affinity does not alter the magnitude and more importantly the duration of target inhibition. Evaluation of unbound antibody and target kinetics indicated that point of diminishing returns in duration of inhibition was due to target-mediated binding and subsequent elimination of antibody at later time points. Similarly, influence of baseline target concentration and target turnover on magnitude and duration of target inhibition in plasma is shown. Additionally, the fraction of dose eliminated via target mediated elimination (Fel(™)) can be a useful tool to enable selection of strategies to increase duration of target inhibition. The implications of these simulations in drug discovery and development with regard to target identification, antibody optimization, and backup candidate selection are discussed.
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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.