Evidence map›Paper›PMID 28004347›Full record

ArticleThe AAPS journal2017

Optimal Affinity of a Monoclonal Antibody: Guiding Principles Using Mechanistic Modeling.

Abhinav Tiwari, Anson K Abraham, John M Harrold, Anup Zutshi, Pratap Singh

Erratum issuedAbstract read
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In one paragraph

Article in The AAPS journal, 2017. 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 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Article
  2. Simultaneous Affinity Maturation and Liability Removal from Antibodies.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Abhinav TiwariPharmacokinetics, Dynamics and Metabolism, Pfizer, Cambridge, Massachusetts, USA.
Anson K AbrahamPharmacokinetics, Pharmacodynamics and Drug Metabolism, Merck, West Point, Pennsylvania, USA.
John M HarroldDepartment of Pharmacokinetics and Drug Metabolism, Amgen, South San Francisco, California, USA.
Anup ZutshiEMD Serono, Billerica, Massachusetts, USA.
Pratap SinghPharmacokinetics, Dynamics and Metabolism, Pfizer, Cambridge, Massachusetts, USA. pratap.singh.charan@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Affinity optimization of monoclonal antibodies (mAbs) is essential for developing drug candidates with the highest likelihood of clinical success; however, a quantitative approach for setting affinity requirements is often lacking. In this study, we computationally analyzed the in vivo mAb-target binding kinetics to delineate general principles for defining optimal equilibrium dissociation constant ([Formula: see text]) of mAbs against soluble and membrane-bound targets. Our analysis shows that in general [Formula: see text] to achieve 90% coverage for a soluble target is one tenth of its baseline concentration ([Formula: see text]), and is independent of the dosing interval, target turnover rate or the presence of competing ligands. For membrane-bound internalizing targets, it is equal to the ratio of internalization rate of mAb-target complex and association rate constant ([Formula: see text]). In cases where soluble and membrane-bound forms of the target co-exist, [Formula: see text] lies within a range determined by the internalization rate ([Formula: see text]) of the mAb-membrane target complex and the ratio of baseline concentrations of soluble and membrane-bound forms ([Formula: see text]). Finally, to demonstrate practical application of these general rules, we collected target expression and turnover data to project [Formula: see text] for a number of marketed mAbs against soluble (TNFα, RANKL, and VEGF) and membrane-bound targets (CD20, EGFR, and HER2).

Indexed as

Drug DesignModels, BiologicalAntibodies, MonoclonalHumansKineticsLigandsMembrane ProteinsProtein BindingProteinsAntibodies, MonoclonalLigandsMembrane ProteinsProteinsbinding affinitylead optimizationmembrane-bound targetPK half-lifesoluble target

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.