Evidence map›Paper›PMID 24516290›Full record

ArticleComputers & chemical engineering2013

Protein aggregation and lyophilization: Protein structural descriptors as predictors of aggregation propensity.

Brock C Roughton, Lavanya K Iyer, Esben Bertelsen, Elizabeth M Topp, Kyle V Camarda

Abstract read
In one paragraph

Article in Computers & chemical engineering, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.3field-weighted citation impact, top 37% of its field
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

6 citing papers in PubMed, 17 citations in OpenAlex.

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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 at 2 institutions in 2 countries.

Brock C RoughtonBioengineering Graduate Program, University of Kansas, Lawrence, KS, United States.
Lavanya K IyerDepartment of Industrial and Physical Pharmacy, Purdue University, West Lafayette, IN, United States.
Esben BertelsenDepartment of Industrial and Physical Pharmacy, Purdue University, West Lafayette, IN, United States ; Department of Pharmaceutics and Analytical Chemistry, University of Copenhagen, Copenhagen, Denmark.
Elizabeth M ToppDepartment of Industrial and Physical Pharmacy, Purdue University, West Lafayette, IN, United States.
Kyle V CamardaDepartment of Chemical and Petroleum Engineering, University of Kansas, Lawrence, KS, United States.
Purdue University West Lafayette · USUniversity of Kansas · US

Funding

Protein Aggregation in Amorphous SolidsR01GM085293 · NIGMS · UNIVERSITY OF KANSAS LAWRENCE · PI TOPP, ELIZABETH M. · 2009 to 2016
$2.3M
NIGMS NIH HHS R01 GM085293
6 · The paper itself

Abstract

Lyophilization can induce aggregation in therapeutic proteins, but the relative importance of protein structure, formulation and processing conditions are poorly understood. To evaluate the contribution of protein structure to lyophilization-induced aggregation, fifteen proteins were co-lyophilized with each of five excipients. Extent of aggregation following lyophilization, measured using size-exclusion chromatography, was correlated with computational and biophysical protein structural descriptors via multiple linear regression. Descriptor selection was performed using exhaustive search and forward selection. The results demonstrate that, for a given excipient, extent of aggregation is highly correlated by eight to twelve structural descriptors. Leave-one-out cross validation showed that the correlations were able to successfully predict the aggregation for a protein "left out" of the data set. Selected descriptors varied with excipient, indicating both protein structure and excipient type contribute to lyophilization-induced aggregation. The results show some descriptors used to predict protein aggregation in solution are useful in predicting lyophilized protein aggregation.

Indexed as

Aggregation predictionBiologicsLyophilizationMultiple linear regressionProtein formulationStructural descriptors

Identifiers

PMID24516290
PMCPMC3917556
OpenAlexW2109096981

What OpenQuestion holds

Textmetadata
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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.