Evidence map›Paper›PMID 33375020›Full record

ArticleCancers2020

Pembrolizumab Induces an Unexpected Conformational Change in the CC'-loop of PD-1.

Bernhard Roither, Chris Oostenbrink, Georg Pfeiler, Heinz Koelbl, Wolfgang Schreiner

Abstract read
In one paragraph

Article in Cancers, 2020. 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
–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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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.

Bernhard RoitherInstitute of Biosimulation and Bioinformatics, Medical University of Vienna, Spitalgasse 23/88.04, 1090 Vienna, Austria.
Chris OostenbrinkInstitute of Molecular Modeling and Simulation, University of Natural Resources and Life Science, Muthgasse 18, 1190 Vienna, Austria.ORCID 0000-0002-4232-2556
Georg PfeilerDepartment of Obstetrics and Gynecology (Division of General Gynecology and Gynecologic Oncology), Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria.
Heinz KoelblDepartment of Obstetrics and Gynecology (Division of General Gynecology and Gynecologic Oncology), Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria.ORCID 0000-0001-5770-3135
Wolfgang SchreinerInstitute of Biosimulation and Bioinformatics, Medical University of Vienna, Spitalgasse 23/88.04, 1090 Vienna, Austria.ORCID 0000-0003-1910-5788

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To improve cancer immunotherapy, a clearer understanding of key targets such as the immune checkpoint receptor PD-1 is essential. The PD-1 inhibitors nivolumab and pembrolizumab were recently approved by the FDA. The CC'-loop of PD-1 has been identified as a hotspot for drug targeting. Here, we investigate the influence of nivolumab and pembrolizumab on the molecular motion of the CC'-loop of PD-1. We performed molecular dynamics simulations on the complete extracellular domain of PD-1, in complex with PD-L1, and the blocking antibodies nivolumab and pembrolizumab. Conformations of the CC'-loop were analyzed unsupervised with the Daura et al. clustering algorithm and multidimensional scaling. Surprisingly, two conformations found were seen to correspond to the 'open' and 'closed' conformation of CC'-loop in apo-PD-1, already known from literature. Unsupervised clustering also surprisingly reproduced the natural ligand, PD-L1, exclusively stabilizing the 'closed' conformation, as also known from literature. Nivolumab, like PD-L1, was found to shift the equilibrium towards the 'closed' conformation, in accordance with the conformational selection model. Pembrolizumab, on the other hand, induced a third conformation of the CC'-loop which has not been described to date: Relative to the conformation 'open' the, CC'-loop turned 180° to form a new conformation which we called 'overturned'. We show that the combination of clustering and multidimensional scaling is a fast, easy, and powerful method in analyzing structural changes in proteins. Possible refined antibodies or new small molecular compounds could utilize the flexibility of the CC'-loop to improve immunotherapy.

Indexed as

antibodiescheckpoint inhibitorsimmunotherapymolecular conformationmolecular dynamics simulation

Identifiers

PMID33375020
PMCPMC7792774

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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.