Evidence map›Paper›PMID 23534953›Full record

ArticleMolecular pharmaceutics2013

Mass spectrometry-guided optimization and characterization of a biologically active transferrin-lysozyme model drug conjugate.

Son N Nguyen, Cedric E Bobst, Igor A Kaltashov

Abstract read
In one paragraph

Article in Molecular pharmaceutics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 18 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

3 authors at 1 institution in 1 country.

Son N NguyenDepartment of Chemistry, University of Massachusetts Amherst, Amherst, Massachusetts 01003, United States.
Cedric E Bobst
Igor A Kaltashov
University of Massachusetts Amherst · US

Funding

PROTEIN FOLDING DYNAMICS BY MASS SPECTROMETRYR01GM061666 · NIGMS · UNIVERSITY OF MASSACHUSETTS AMHERST · PI KALTASHOV, IGOR A · 2000 to 2013
$3.4M
NIGMS NIH HHS R01 GM061666
6 · The paper itself

Abstract

Transferrin is a promising drug carrier that has the potential to deliver metals, small organic molecules and therapeutic proteins to cancer cells and/or across physiological barriers (such as the blood-brain barrier). Despite this promise, very few transferrin-based therapeutics have been developed and reached clinical trials. This modest success record can be explained by the complexity and heterogeneity of protein conjugation products, which also pose great challenges to their analytical characterization. In this work, we use lysozyme conjugated to transferrin as a model therapeutic that targets the central nervous system (where its bacteriostatic properties may be exploited to control infection) and develop analytical protocols based on electrospray ionization mass spectrometry to characterize its structure and interactions with therapeutic targets and physiological partners critical for its successful delivery. Mass spectrometry has already become an indispensable tool facilitating all stages of the protein drug development process, and this work demonstrates the enormous potential of this technique in facilitating the development of a range of therapeutically effective protein-drug conjugates.

Indexed as

Anti-Bacterial AgentsAnti-Infective AgentsCentral Nervous System AgentsChemistry, PharmaceuticalDrug CarriersHumansMicrococcusMolecular StructureMuramidaseProtein BindingReceptors, TransferrinSpectrometry, Mass, Electrospray IonizationTransferrinAnti-Bacterial AgentsAnti-Infective AgentsCentral Nervous System AgentsDrug CarriersMuramidaseReceptors, TransferrinTransferrin

Identifiers

PMID23534953
PMCPMC3647025
OpenAlexW2080614063

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.