Evidence map›Paper›PMID 37757589›Full record

ArticleJournal of chemical information and modeling2023

Viscosity Prediction of High-Concentration Antibody Solutions with Atomistic Simulations.

Tobias M Prass, Patrick Garidel, Michaela Blech, Lars V Schäfer

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Antibody-drug conjugate engineering: from design to efficacy and safety.Signal transduction and targeted therapy · 2026
    Review
  3. Sticky interactions govern sequence-dependent dynamics in biomolecular condensates.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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

4 authors.

Tobias M PrassCenter for Theoretical Chemistry, Ruhr University Bochum, D-44780 Bochum, Germany.ORCID 0009-0000-6450-5364
Patrick GaridelBoehringer Ingelheim Pharma GmbH & Co. KG, Innovation Unit, PDB, D-88397 Biberach an der Riss, Germany.ORCID 0000-0001-9512-9533
Michaela BlechBoehringer Ingelheim Pharma GmbH & Co. KG, Innovation Unit, PDB, D-88397 Biberach an der Riss, Germany.
Lars V SchäferCenter for Theoretical Chemistry, Ruhr University Bochum, D-44780 Bochum, Germany.ORCID 0000-0002-8498-3061

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The computational prediction of the viscosity of dense protein solutions is highly desirable, for example, in the early development phase of high-concentration biopharmaceutical formulations where the material needed for experimental determination is typically limited. Here, we use large-scale atomistic molecular dynamics (MD) simulations with explicit solvation to

Indexed as

Antibodies, MonoclonalImmunoglobulin GMolecular Dynamics SimulationSolutionsViscosityAntibodies, MonoclonalImmunoglobulin GSolutions

Identifiers

PMID37757589
PMCPMC10565822

What OpenQuestion holds

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Registered trials

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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.