Evidence map›Paper›PMID 20065649›Full record

ArticlemAbs

Potential aggregation prone regions in biotherapeutics: A survey of commercial monoclonal antibodies.

Xiaoling Wang, Tapan K Das, Satish K Singh, Sandeep Kumar

Abstract read
In one paragraph

Article in mAbs. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers.

0numbers the graph read from it
0cells of the map it votes in
80citing 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

80 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Antibody interfaces revealed through structural mining.Computational and structural biotechnology journal · 2022
    Article
  14. Article
  15. Article
  16. Immunogenicity Challenges Associated with Subcutaneous Delivery of Therapeutic Proteins.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2021
    Review
  17. Review
  18. Article
  19. Micro-Heterogeneity of Antibody Molecules.Experientia supplementum (2012) · 2021
    Review
  20. Article

20 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.

Xiaoling WangPharmaceutical R & D, Global Biologics, Pfizer Global Research & Development, Chesterfield, MO 63017, USA.
Tapan K Das
Satish K Singh
Sandeep Kumar

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aggregation of a biotherapeutic is of significant concern and judicious process and formulation development is required to minimize aggregate levels in the final product. Aggregation of a protein in solution is driven by intrinsic and extrinsic factors. In this work we have focused on aggregation as an intrinsic property of the molecule. We have studied the sequences and Fab structures of commercial and non-commercial antibody sequences for their vulnerability towards aggregation by using sequence based computational tools to identify potential aggregation-prone motifs or regions. The mAbs in our dataset contain 2 to 8 aggregation-prone motifs per heavy and light chain pair. Some of these motifs are located in variable domains, primarily in CDRs. Most aggregation-prone motifs are rich in beta branched aliphatic and aromatic residues. Hydroxyl-containing Ser/Thr residues are also found in several aggregation-prone motifs while charged residues are rare. The motifs found in light chain CDR3 are glutamine (Q)/asparagine (N) rich. These motifs are similar to the reported aggregation promoting regions found in prion and amyloidogenic proteins that are also rich in Q/N, aliphatic and aromatic residues. The implication is that one possible mechanism for aggregation of mAbs may be through formation of cross-beta structures and fibrils. Mapping on the available Fab-receptor/antigen complex structures reveals that these motifs in CDRs might also contribute significantly towards receptor/antigen binding. Our analysis identifies the opportunity and tools for simultaneous optimization of the therapeutic protein sequence for potency and specificity while reducing vulnerability towards aggregation.

Indexed as

ImmunotherapyAmino Acid MotifsAmyloidAnimalsAntibodies, MonoclonalAntigen-Antibody ComplexDatabases, GeneticHumansImmunoglobulin Fab FragmentsPrionsProtein BindingProtein MultimerizationProtein Structure, SecondarySoftwareAmyloidAntibodies, MonoclonalAntigen-Antibody ComplexImmunoglobulin Fab FragmentsPrions

Identifiers

PMID20065649
PMCPMC2726584

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.