Evidence map›Paper›PMID 31814954›Full record

ArticleMedChemComm2019

Structural insights and binding analysis for determining the molecular bases for programmed cell death protein ligand-1 inhibition.

Rita C Acúrcio, Carlota Leonardo-Sousa, Alfonso T García-Sosa, Jorge A Salvador, Helena F Florindo, Rita C Guedes

Abstract read
In one paragraph

Article in MedChemComm, 2019. 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
0.5field-weighted citation impact, top 31% 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, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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

6 authors at 3 institutions in 4 countries.

Rita C AcúrcioResearch Institute for Medicines (iMed.ULisboa) , Faculty of Pharmacy , Universidade de Lisboa , 1649-003 Lisbon , Portugal . Email: rguedes@ff.ulisboa.pt.
Carlota Leonardo-SousaResearch Institute for Medicines (iMed.ULisboa) , Faculty of Pharmacy , Universidade de Lisboa , 1649-003 Lisbon , Portugal . Email: rguedes@ff.ulisboa.pt.
Alfonso T García-SosaInstitute of Chemistry , University of Tartu , Ravila 14a , 50411 Tartu , Estonia.ORCID 0000-0003-0542-4446
Jorge A SalvadorCenter for Neurosciences and Cell Biology , Universidade de Coimbra , Coimbra , Portugal.
Helena F FlorindoResearch Institute for Medicines (iMed.ULisboa) , Faculty of Pharmacy , Universidade de Lisboa , 1649-003 Lisbon , Portugal . Email: rguedes@ff.ulisboa.pt.
Rita C GuedesResearch Institute for Medicines (iMed.ULisboa) , Faculty of Pharmacy , Universidade de Lisboa , 1649-003 Lisbon , Portugal . Email: rguedes@ff.ulisboa.pt.ORCID 0000-0002-5790-9181
University of Lisbon · PTCenter for Neurosciences · USUniversity of Tartu · EE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Programmed cell death protein 1 (PD-1) and PD-ligand 1 (PD-L1) interaction plays an important role in cancer immunotherapy. Several PD-1/PD-L1 inhibitors have been approved with remarkable impact on overall patient survival rates. Inhibitors in clinical practice are presently limited to monoclonal antibodies. However, their severe shortcomings expose the need for a new generation of PD-L1 inhibitors. Understanding the tumor microenvironment, identifying specific biomarkers and X-ray crystalline structures of PD-1/PD-L1 complexes, including molecular and genomic signature studies are essential to determine the success for the development of PD-1/PD-L1 inhibitors into safer and efficient cancer immunotherapeutics. Currently, the development of immune-modulatory small molecules is being explored due to their benefits over recombinant protein approaches. Nevertheless, their development is hampered in part due to lack of structural information. The current study builds on PD-L1 small-molecule inhibitor structural information and provides insights into the design of new inhibitors. To this end, a comprehensive analysis of crystallographic structures and benchmarking studies were performed, showing the specific structure model and software best suited to study PD-L1. The use of

Identifiers

PMID31814954
PMCPMC6839816
OpenAlexW2965811903

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.