Evidence map›Paper›PMID 28096333›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

Biophysical properties of the clinical-stage antibody landscape.

Tushar Jain, Tingwan Sun, Stéphanie Durand, Amy Hall, Nga Rewa Houston, Juergen H Nett, Beth Sharkey, Beata Bobrowicz, Isabelle Caffry, Yao Yu and 9 more

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 361 papers.

0numbers the graph read from it
0cells of the map it votes in
361citing papers in PubMed
37.2field-weighted citation impact, top 1% 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

361 citing papers in PubMed, 606 citations in OpenAlex.

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  13. Targeted extracellular degradation of LRP8 promotes ferroptosis in cancer cells.Proceedings of the National Academy of Sciences of the United States of America · 2026
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301 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 1 institution in 1 country.

Tushar JainDepartment of Computational Biology, Adimab LLC, Lebanon, NH 03766.
Tingwan SunDepartment of Protein Analytics, Adimab LLC, Lebanon, NH 03766.
Stéphanie DurandDepartment of Molecular Biology, Adimab LLC, Lebanon, NH 03766.
Amy HallDepartment of Molecular Biology, Adimab LLC, Lebanon, NH 03766.
Nga Rewa HoustonDepartment of Molecular Biology, Adimab LLC, Lebanon, NH 03766.
Juergen H NettDepartment of High-Throughput Expression, Adimab LLC, Lebanon, NH 03766.
Beth SharkeyDepartment of High-Throughput Expression, Adimab LLC, Lebanon, NH 03766.
Beata BobrowiczDepartment of High-Throughput Expression, Adimab LLC, Lebanon, NH 03766.
Isabelle CaffryDepartment of Protein Analytics, Adimab LLC, Lebanon, NH 03766.
Yao YuDepartment of Protein Analytics, Adimab LLC, Lebanon, NH 03766.
Yuan CaoDepartment of Protein Analytics, Adimab LLC, Lebanon, NH 03766.
Heather LynaughDepartment of Protein Analytics, Adimab LLC, Lebanon, NH 03766.
Michael BrownDepartment of Protein Analytics, Adimab LLC, Lebanon, NH 03766.
Hemanta BaruahDepartment of Antibody Discovery, Adimab LLC, Lebanon, NH 03766.
Laura T GrayDepartment of Antibody Discovery, Adimab LLC, Lebanon, NH 03766.
Eric M KraulandDepartment of Antibody Discovery, Adimab LLC, Lebanon, NH 03766.
Yingda XuDepartment of Protein Analytics, Adimab LLC, Lebanon, NH 03766; yingda.xu@adimab.com max.vasquez@adimab.com dane.wittrup@adimab.com.
Maximiliano VásquezDepartment of Computational Biology, Adimab LLC, Lebanon, NH 03766; yingda.xu@adimab.com max.vasquez@adimab.com dane.wittrup@adimab.com.
K Dane WittrupDepartment of Computational Biology, Adimab LLC, Lebanon, NH 03766; yingda.xu@adimab.com max.vasquez@adimab.com dane.wittrup@adimab.com.
Adimab (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibodies are a highly successful class of biological drugs, with over 50 such molecules approved for therapeutic use and hundreds more currently in clinical development. Improvements in technology for the discovery and optimization of high-potency antibodies have greatly increased the chances for finding binding molecules with desired biological properties; however, achieving drug-like properties at the same time is an additional requirement that is receiving increased attention. In this work, we attempt to quantify the historical limits of acceptability for multiple biophysical metrics of "developability." Amino acid sequences from 137 antibodies in advanced clinical stages, including 48 approved for therapeutic use, were collected and used to construct isotype-matched IgG1 antibodies, which were then expressed in mammalian cells. The resulting material for each source antibody was evaluated in a dozen biophysical property assays. The distributions of the observed metrics are used to empirically define boundaries of drug-like behavior that can represent practical guidelines for future antibody drug candidates.

Indexed as

Antibodies, MonoclonalAmino Acid SequenceBiophysical PhenomenaDrug ApprovalDrug DiscoveryHEK293 CellsHumansImmunoglobulin GAntibodies, MonoclonalImmunoglobulin Gbiophysical propertiesdevelopabilitymanufacturabilitymonoclonal antibodynonspecificity

Identifiers

PMID28096333
PMCPMC5293111
OpenAlexW2578029714

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.