Evidence map›Paper›PMID 32218192›Full record

ArticleAntibodies (Basel, Switzerland)2020

Molecular Interaction Characterization Strategies for the Development of New Biotherapeutic Antibody Modalities.

Xiangdan Wang, Minh Michael Phan, Ji Li, Herman Gill, Simon Williams, Nidhi Gupta, Valerie Quarmby, Jihong Yang

Open access · goldAbstract read
In one paragraph

Article in Antibodies (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 28% of its field
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

1 citing paper in PubMed, 8 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Xiangdan WangDepartment of BioAnalytical Sciences, Genentech, South San Francisco, CA 94080, USA.
Minh Michael PhanDepartment of BioAnalytical Sciences, Genentech, South San Francisco, CA 94080, USA.
Ji LiDepartment of Translational Oncology, Genentech, South San Francisco, CA 94080, USA.
Herman GillDepartment of Biomedical Imaging, Genentech, South San Francisco, CA 94080, USA.
Simon WilliamsDepartment of Biomedical Imaging, Genentech, South San Francisco, CA 94080, USA.
Nidhi GuptaDepartment of Immunology, Genentech, South San Francisco, CA 94080, USA.
Valerie QuarmbyDepartment of BioAnalytical Sciences, Genentech, South San Francisco, CA 94080, USA.
Jihong YangDepartment of BioAnalytical Sciences, Genentech, South San Francisco, CA 94080, USA.
Imaging Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The characterization of target binding interactions is critical at each stage of antibody therapeutic development. During early development, it is important to design fit-for-purpose in vitro molecular interaction characterization (MIC) assays that accurately determine the binding kinetics and the affinity of therapeutic antibodies for their targets. Such information enables PK/PD (pharmacokinetics/pharmacodynamics) modeling, estimation of dosing regimens, and assessment of potency. While binding kinetics and affinities seem to be readily obtained, there is little discussion in the literature on how the information should be generated and used in a systematic manner along with other approaches to enable key drug development decisions. The introduction of new antibody modalities poses unique challenges to the development of MIC assays and further increases the need to discuss the impact of developing context-appropriate MIC assays to enable key decision making for these programs. In this paper, we discuss for the first time the challenges encountered when developing MIC assays supporting new antibody modalities. Additionally, through the presentation of several real case studies, we provide strategies to overcome these challenges to enable investigational new drug (IND) filings.

Indexed as

affinitymolecular interaction characterizationnew biotherapeutic antibody modality

Identifiers

PMID32218192
PMCPMC7344756
OpenAlexW3013727107

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.