Evidence map›Paper›PMID 30666176›Full record

ArticleBiochemical engineering journal2018

Understanding and overcoming trade-offs between antibody affinity, specificity, stability and solubility.

Lilia A Rabia, Alec A Desai, Harkamal S Jhajj, Peter M Tessier

Abstract read
In one paragraph

Article in Biochemical engineering journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing 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

84 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. AI-Driven De Novo Binder Design: From Structure Prediction to Closed-Loop Optimization.Computational and structural biotechnology journal · 2026
    Review
  10. Article
  11. Review: Detection of Cancer Biomarkers from a Clinical Perspective.International journal of molecular sciences · 2025
    Review
  12. Review
  13. Article
  14. Review
  15. Article
  16. A Complementarity-Based Approach to De Novo Binder Design.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  17. Review
  18. Article
  19. Article
  20. Article

24 more citing papers are in PubMed but not listed here.

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

4 authors.

Lilia A RabiaCenter for Biotechnology & Interdisciplinary Studies, Isermann Dept. of Chemical & Biological Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180.
Alec A DesaiDepartment of Chemical Engineering, Biointerfaces Institute, University of Michigan, Ann Arbor, MI 48109, USA.
Harkamal S JhajjDepartment of Biomedical Engineering, Biointerfaces Institute, University of Michigan, Ann Arbor, MI 48109, USA.
Peter M TessierCenter for Biotechnology & Interdisciplinary Studies, Isermann Dept. of Chemical & Biological Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180.

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 GM104130
6 · The paper itself

Abstract

The widespread use of monoclonal antibodies for therapeutic applications has led to intense interest in optimizing several of their natural properties (affinity, specificity, stability, solubility and effector functions) as well as introducing non-natural activities (bispecificity and cytotoxicity mediated by conjugated drugs). A common challenge during antibody optimization is that improvements in one property (e.g., affinity) can lead to deficits in other properties (e.g., stability). Here we review recent advances in understanding trade-offs between different antibody properties, including affinity, specificity, stability and solubility. We also review new approaches for co-optimizing multiple antibody properties and discuss how these methods can be used to rapidly and systematically generate antibodies for a wide range of applications.

Indexed as

aggregationCDRdevelopabilityFabFcmAb

Identifiers

PMID30666176
PMCPMC6338232

What OpenQuestion holds

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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.