Evidence map›Paper›PMID 30250495›Full record

ArticleNano today2018

Colloidal aggregation: from screening nuisance to formulation nuance.

Ahil N Ganesh, Eric N Donders, Brian K Shoichet, Molly S Shoichet

Abstract read
In one paragraph

Article in Nano today, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing 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

49 citing papers in PubMed.

  1. Article
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  16. Long-Acting Ocular Injectables: Are We Looking In The Right Direction?Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  17. Article
  18. Article
  19. Colloidal aggregation confounds cell-based Covid-19 antiviral screens.bioRxiv : the preprint server for biology · 2023
    Article
  20. 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.

Ahil N GaneshDepartment of Chemical Engineering and Applied Chemistry, University of Toronto, ON,Canada.
Eric N DondersDepartment of Chemical Engineering and Applied Chemistry, University of Toronto, ON,Canada.
Brian K ShoichetDepartment of Pharmaceutical Chemistry, University of California - San Francisco, CA, USA.
Molly S ShoichetDepartment of Chemical Engineering and Applied Chemistry, University of Toronto, ON,Canada.

Funding

A Specific Mechanism for Non-Specific InhibitionR01GM071630 · NIGMS · UNIVERSITY OF TORONTO · PI SHOICHET, BRIAN K · 2004 to 2016
$3.6M
NIGMS NIH HHS R01 GM071630
6 · The paper itself

Abstract

It is well known that small molecule colloidal aggregation is a leading cause of false positives in early drug discovery. Colloid-formers are diverse and well represented among corporate and academic screening decks, and even among approved drugs. Less appreciated is how colloid formation by drug-like compounds fits into the wider understanding of colloid physical chemistry. Here we introduce the impact that colloidal aggregation has had on early drug discovery, and then turn to the physical and thermodynamic driving forces for small molecule colloidal aggregation, including the particulate nature of the colloids, their critical aggregation concentration-governed formation, their mechanism of protein adsorption and subsequent inhibition, and their sensitivity to detergent. We describe methods that have been used extensively to both identify aggregate-formers and to study and control their physical chemistry. While colloidal aggregation is widely recognized as a problem in early drug discovery, we highlight the opportunities for exploiting this phenomenon in biological milieus and for drug formulation.

Indexed as

Colloidal aggregateshigh-throughput screeningprotein adsorptionself-assembly

Identifiers

PMID30250495
PMCPMC6150470

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.