Evidence map›Paper›PMID 25209466›Full record

ReviewJournal of pharmaceutical sciences2014

Improving monoclonal antibody selection and engineering using measurements of colloidal protein interactions.

Steven B Geng, Jason K Cheung, Chakravarthy Narasimhan, Mohammed Shameem, Peter M Tessier

Abstract readReview
In one paragraph

Review in Journal of pharmaceutical sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. In Situ Online Spectroscopy and Light Scattering Techniques.Advances in biochemical engineering/biotechnology · 2026
    Review
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  6. Review
  7. Improving antibody drug development using bionanotechnology.Current opinion in biotechnology · 2022
    Review
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  19. Biophysical properties of the clinical-stage antibody landscape.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
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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

5 authors.

Steven B GengCenter for Biotechnology & Interdisciplinary Studies, Isermann Department of Chemical & Biological Engineering, Rensselaer Polytechnic Institute, Troy, New York 12180.
Jason K CheungSterile Product and Analytical Development, Merck Research Laboratories, Kenilworth, New Jersey 07033.
Chakravarthy NarasimhanSterile Product and Analytical Development, Merck Research Laboratories, Kenilworth, New Jersey 07033.
Mohammed ShameemSterile Product and Analytical Development, Merck Research Laboratories, Kenilworth, New Jersey 07033.
Peter M TessierCenter for Biotechnology & Interdisciplinary Studies, Isermann Department of Chemical & Biological Engineering, Rensselaer Polytechnic Institute, Troy, New York 12180. Electronic address: tessier@rpi.edu.

Funding

Design of Antibody Fragments Specific For Amyloidogenic AggregatesR01GM104130 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI TESSIER, PETER M · 2014 to 2018
$1.3M
NIGMS NIH HHS R01 GM104130NIGMS NIH HHS R01GM104130
6 · The paper itself

Abstract

A limitation of using mAbs as therapeutic molecules is their propensity to associate with themselves and/or with other molecules via nonaffinity (colloidal) interactions. This can lead to a variety of problems ranging from low solubility and high viscosity to off-target binding and fast antibody clearance. Measuring such colloidal interactions is challenging given that they are weak and potentially involve diverse target molecules. Nevertheless, assessing these weak interactions-especially during early antibody discovery and lead candidate optimization-is critical to preventing problems that can arise later in the development process. Here we review advances in developing and implementing sensitive methods for measuring antibody colloidal interactions as well as using these measurements for guiding antibody selection and engineering. These systematic efforts to minimize nonaffinity interactions are expected to yield more effective and stable mAbs for diverse therapeutic applications. © 2014 Wiley Periodicals, Inc. and the American Pharmacists Association J Pharm Sci 103:3356-3363, 2014.

Indexed as

Protein EngineeringAnimalsAntibodies, MonoclonalChemistry, PharmaceuticalColloidsCross ReactionsHigh-Throughput Screening AssaysHumansModels, MolecularProtein AggregatesProtein BindingProtein ConformationSolubilityTechnology, PharmaceuticalViscosityAntibodies, MonoclonalColloidsProtein Aggregatesbiophysical methodsCDRcomplementarity-determining regionFabhigh throughput technologiesIgGphysical stabilityprotein aggregationprotein formulationsolubilityVHviscosityVL

Identifiers

PMID25209466
PMCPMC4206634

What OpenQuestion holds

Textmetadata
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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.