Evidence map›Paper›PMID 29386233›Full record

ArticleDrug metabolism and disposition: the biological fate of chemicals2018

LC-MS Differential Analysis for Fast and Sensitive Determination of Biotransformation of Therapeutic Proteins.

Ming Yao, Bingming Chen, Weiping Zhao, John T Mehl, Lingjun Li, Mingshe Zhu

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Drug metabolism and disposition: the biological fate of chemicals, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Review
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  5. Review
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

6 authors at 3 institutions in 2 countries.

Ming YaoPharmaceutical Candidate Optimization, Bristol-Myers Squibb, Princeton, New Jersey (M.Y., W.Z., J.T.M., M.Z.); School of Pharmacy and Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin (B.C., L.L.); School of Life Sciences, Tianjin University, Nankai, Tianjin, People's Republic of China (L.L.); and MassDefect Technologies, Princeton, New Jersey (M.Z.).
Bingming ChenPharmaceutical Candidate Optimization, Bristol-Myers Squibb, Princeton, New Jersey (M.Y., W.Z., J.T.M., M.Z.); School of Pharmacy and Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin (B.C., L.L.); School of Life Sciences, Tianjin University, Nankai, Tianjin, People's Republic of China (L.L.); and MassDefect Technologies, Princeton, New Jersey (M.Z.).
Weiping ZhaoPharmaceutical Candidate Optimization, Bristol-Myers Squibb, Princeton, New Jersey (M.Y., W.Z., J.T.M., M.Z.); School of Pharmacy and Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin (B.C., L.L.); School of Life Sciences, Tianjin University, Nankai, Tianjin, People's Republic of China (L.L.); and MassDefect Technologies, Princeton, New Jersey (M.Z.).
John T MehlPharmaceutical Candidate Optimization, Bristol-Myers Squibb, Princeton, New Jersey (M.Y., W.Z., J.T.M., M.Z.); School of Pharmacy and Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin (B.C., L.L.); School of Life Sciences, Tianjin University, Nankai, Tianjin, People's Republic of China (L.L.); and MassDefect Technologies, Princeton, New Jersey (M.Z.).
Lingjun LiPharmaceutical Candidate Optimization, Bristol-Myers Squibb, Princeton, New Jersey (M.Y., W.Z., J.T.M., M.Z.); School of Pharmacy and Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin (B.C., L.L.); School of Life Sciences, Tianjin University, Nankai, Tianjin, People's Republic of China (L.L.); and MassDefect Technologies, Princeton, New Jersey (M.Z.) mingshe.zhu@yahoo.com lingjun.li@wisc.edu.
Mingshe ZhuPharmaceutical Candidate Optimization, Bristol-Myers Squibb, Princeton, New Jersey (M.Y., W.Z., J.T.M., M.Z.); School of Pharmacy and Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin (B.C., L.L.); School of Life Sciences, Tianjin University, Nankai, Tianjin, People's Republic of China (L.L.); and MassDefect Technologies, Princeton, New Jersey (M.Z.) mingshe.zhu@yahoo.com lingjun.li@wisc.edu.
Bristol-Myers Squibb (United States) · USNankai University · CNUniversity of Wisconsin–Madison · US

Funding

In Situ Protein Characterization and Visualization in the Brains of Mouse Models for AutismR56MH110215 · NIMH · UNIVERSITY OF WISCONSIN-MADISON · PI IKONOMIDOU, HRISSANTHI, LI, LINGJUN · 2017 to 2018
$752k
NIMH NIH HHS R56 MH110215
6 · The paper itself

Abstract

Therapeutic biologics have become a fast-growing segment within the pharmaceutical industry during the past 3 decades. Although the metabolism of biologics is more predictable than small molecule drugs, biotransformation can significantly affect the activity of biologics. Unfortunately, there are only a limited number of published studies on the biotransformation of biologics, most of which are focused on one or a few types of modifications. In this study, an untargeted LC-MS-based differential analysis approach was developed to rapidly and precisely determine the universal biotransformation profile of biologics with the assistance of bioinformatic tools. A human monoclonal antibody (mAb) was treated with

Indexed as

AnimalsAntibodies, MonoclonalBiological ProductsBiotransformationChromatography, LiquidComputational BiologyDrug DiscoveryHumansPeptidesProtein Processing, Post-TranslationalProteinsProteomicsRatsTandem Mass SpectrometryAntibodies, MonoclonalBiological ProductsPeptidesProteins

Identifiers

PMID29386233
PMCPMC7333659
OpenAlexW2793191012

What OpenQuestion holds

Textmetadata
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.