Evidence map›Paper›PMID 39150455›Full record

ArticleBioconjugate chemistry2024

Data-Driven Design of Novel Polymer Excipients for Pharmaceutical Amorphous Solid Dispersions.

Elena J Di Mare, Ashish Punia, Matthew S Lamm, Timothy A Rhodes, Adam J Gormley

Abstract read
In one paragraph

Article in Bioconjugate chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Calorimetric Monitoring of the Sub-TMolecules (Basel, Switzerland) · 2025
    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

5 authors.

Elena J Di MareDepartment of Biomedical Engineering, Rutgers, The State University of New Jersey, Piscataway, New Jersey 08854, United States.
Ashish PuniaAnalytical Research and Development, MRL, Merck & Co., Inc., Rahway, New Jersey 07065, United States.
Matthew S LammAnalytical Research and Development, MRL, Merck & Co., Inc., Rahway, New Jersey 07065, United States.ORCID 0000-0002-2787-0642
Timothy A RhodesAnalytical Research and Development, MRL, Merck & Co., Inc., Rahway, New Jersey 07065, United States.
Adam J GormleyDepartment of Biomedical Engineering, Rutgers, The State University of New Jersey, Piscataway, New Jersey 08854, United States.ORCID 0000-0002-2884-725X

Funding

Rutgers Biotechnology Training ProgramT32GM135141 · NIGMS · RUTGERS, THE STATE UNIV OF N.J. · PI ANN M. STOCK, Martin L Yarmush · 2020 to 2026
$3.5M
Tuning multivalency for optimized ligand presentationR35GM138296 · NIGMS · RUTGERS, THE STATE UNIV OF N.J. · PI GORMLEY, ADAM JOSEPH · 2020 to 2024
$2.3M
NIGMS NIH HHS R35 GM138296NIGMS NIH HHS T32 GM135141
6 · The paper itself

Abstract

About 90% of active pharmaceutical ingredients (APIs) in the oral drug delivery system pipeline have poor aqueous solubility and low bioavailability. To address this problem, amorphous solid dispersions (ASDs) embed hydrophobic APIs within polymer excipients to prevent drug crystallization, improve solubility, and increase bioavailability. There are a limited number of commercial polymer excipients, and the structure-function relationships which lead to successful ASD formulations are not well-documented. There are, however, certain solid-state ASD characteristics that inform ASD performance. One characteristic shared by successful ASDs is a high glass transition temperature (

Indexed as

ExcipientsPolymersCrystallizationDrug DesignHydrophobic and Hydrophilic InteractionsProbucolSolubilityTransition TemperatureExcipientsPolymersProbucol

Identifiers

PMID39150455
PMCPMC13054844

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.