Evidence map›Paper›PMID 28422491›Full record

ArticleJournal of chemical information and modeling2017

Discovery of Novel Ligands for TNF-α and TNF Receptor-1 through Structure-Based Virtual Screening and Biological Assay.

Si Chen, Zhiwei Feng, Yun Wang, Shifan Ma, Ziheng Hu, Peng Yang, Yifeng Chai, Xiangqun Xie

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

36 citing papers in PubMed, 70 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Peptide-based allosteric inhibitor targets TNFR1 conformationally active region and disables receptor-ligand signaling complex.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

8 authors at 2 institutions in 2 countries.

Si ChenDepartment of Pharmaceutical Sciences and Computational Chemical Genomics Screening Center, School of Pharmacy, National Center of Excellence for Computational Drug Abuse Research, Drug Discovery Institute, and Departments of Computational Biology and Structural Biology, School of Medicine, University of Pittsburgh , Pittsburgh, Pennsylvania 15260, United States.
Zhiwei FengDepartment of Pharmaceutical Sciences and Computational Chemical Genomics Screening Center, School of Pharmacy, National Center of Excellence for Computational Drug Abuse Research, Drug Discovery Institute, and Departments of Computational Biology and Structural Biology, School of Medicine, University of Pittsburgh , Pittsburgh, Pennsylvania 15260, United States.
Yun WangSchool of Pharmacy, Second Military Medical University , 325 Guohe Road, Shanghai, 200433, China.
Shifan MaDepartment of Pharmaceutical Sciences and Computational Chemical Genomics Screening Center, School of Pharmacy, National Center of Excellence for Computational Drug Abuse Research, Drug Discovery Institute, and Departments of Computational Biology and Structural Biology, School of Medicine, University of Pittsburgh , Pittsburgh, Pennsylvania 15260, United States.
Ziheng HuDepartment of Pharmaceutical Sciences and Computational Chemical Genomics Screening Center, School of Pharmacy, National Center of Excellence for Computational Drug Abuse Research, Drug Discovery Institute, and Departments of Computational Biology and Structural Biology, School of Medicine, University of Pittsburgh , Pittsburgh, Pennsylvania 15260, United States.
Peng YangDepartment of Pharmaceutical Sciences and Computational Chemical Genomics Screening Center, School of Pharmacy, National Center of Excellence for Computational Drug Abuse Research, Drug Discovery Institute, and Departments of Computational Biology and Structural Biology, School of Medicine, University of Pittsburgh , Pittsburgh, Pennsylvania 15260, United States.
Yifeng ChaiSchool of Pharmacy, Second Military Medical University , 325 Guohe Road, Shanghai, 200433, China.
Xiangqun XieDepartment of Pharmaceutical Sciences and Computational Chemical Genomics Screening Center, School of Pharmacy, National Center of Excellence for Computational Drug Abuse Research, Drug Discovery Institute, and Departments of Computational Biology and Structural Biology, School of Medicine, University of Pittsburgh , Pittsburgh, Pennsylvania 15260, United States.ORCID 0000-0002-6881-6175
University of Pittsburgh · USSecond Military Medical University · CN

Funding

NIDA Center of Excellence OF Computational Drug Abuse Research (CDAR)P30DA035778 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BAHAR, IVET, XIE, XIANG-QUN · 2014 to 2018
$5.4M
Structure/Function of the CB2 Receptor Binding and G-protein Recognition PocketsR01DA025612 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI XIE, XIANG-QUN · 2010 to 2014
$1.7M
NIDA NIH HHS P30 DA035778NIDA NIH HHS R01 DA025612
6 · The paper itself

Abstract

Tumor necrosis factor α (TNF-α) is overexpressed in various diseases, and it has been a validated therapeutic target for autoimmune diseases. All therapeutics currently used to target TNF-α are biomacromolecules, and limited numbers of TNF-α chemical inhibitors have been reported, which makes the identification of small-molecule alternatives an urgent need. Recent studies have mainly focused on identifying small molecules that directly bind to TNF-α or TNF receptor-1 (TNFR1), inhibit the interaction between TNF-α and TNFR1, and/or regulate related signaling pathways. In this study, we combined in silico methods with biophysical and cell-based assays to identify novel antagonists that bind to TNF-α or TNFR1. Pharmacophore model filtering and molecular docking were applied to identify potential TNF-α antagonists. In regard to TNFR1, we constructed a three-dimensional model of the TNF-α-TNFR1 complex and carried out molecular dynamics simulations to sample the conformations. The residues in TNF-α that have been reported to play important roles in the TNF-α-TNFR1 complex were removed to form a pocket for further virtual screening of TNFR1-binding ligands. We obtained 20 virtual hits and tested them using surface plasmon resonance-based assays, which resulted in one ligand that binds to TNFR1 and four ligands with different scaffolds that bind to TNF-α. T1 and R1, the two most active compounds with K

Indexed as

Biological AssayDrug DiscoveryMolecular Docking SimulationCell LineHumansInhibitory Concentration 50LigandsModels, MolecularReceptors, Tumor Necrosis Factor, Type ISmall Molecule LibrariesTumor Necrosis Factor-alphaLigandsReceptors, Tumor Necrosis Factor, Type ISmall Molecule LibrariesTumor Necrosis Factor-alpha

Identifiers

PMID28422491
PMCPMC6732210
OpenAlexW2605517795

What OpenQuestion holds

Textmetadata
LicenceTDM
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.