Evidence map›Paper›PMID 29295894›Full record

ArticleMolecular pharmacology2018

A Computational-Based Approach to Identify Estrogen Receptor

Carlos G Coriano, Fabao Liu, Chelsie K Sievers, Muxuan Liang, Yidan Wang, Yoongho Lim, Menggang Yu, Wei Xu

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

Article in Molecular pharmacology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Computer-Aided Ligand Discovery for Estrogen Receptor Alpha.International journal of molecular sciences · 2020
    Review
  6. 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

8 authors at 2 institutions in 2 countries.

Carlos G CorianoMolecular & Environmental Toxicology Center, Department of Oncology (C.G.C., W.X.), Department of Oncology (C.G.C., F.L., C.K.S., Y.W., W.X.), and Wisconsin Clinical Sciences Center, Department of Biostatistics and Medical Informatics (M.L., M.Y.), University of Wisconsin-Madison, Madison, Wisconsin; and Division of Bioscience and Biotechnology, BMIC, Konkuk University, Seoul, Republic of Korea (Y.L.).
Fabao LiuMolecular & Environmental Toxicology Center, Department of Oncology (C.G.C., W.X.), Department of Oncology (C.G.C., F.L., C.K.S., Y.W., W.X.), and Wisconsin Clinical Sciences Center, Department of Biostatistics and Medical Informatics (M.L., M.Y.), University of Wisconsin-Madison, Madison, Wisconsin; and Division of Bioscience and Biotechnology, BMIC, Konkuk University, Seoul, Republic of Korea (Y.L.).
Chelsie K SieversMolecular & Environmental Toxicology Center, Department of Oncology (C.G.C., W.X.), Department of Oncology (C.G.C., F.L., C.K.S., Y.W., W.X.), and Wisconsin Clinical Sciences Center, Department of Biostatistics and Medical Informatics (M.L., M.Y.), University of Wisconsin-Madison, Madison, Wisconsin; and Division of Bioscience and Biotechnology, BMIC, Konkuk University, Seoul, Republic of Korea (Y.L.).
Muxuan LiangMolecular & Environmental Toxicology Center, Department of Oncology (C.G.C., W.X.), Department of Oncology (C.G.C., F.L., C.K.S., Y.W., W.X.), and Wisconsin Clinical Sciences Center, Department of Biostatistics and Medical Informatics (M.L., M.Y.), University of Wisconsin-Madison, Madison, Wisconsin; and Division of Bioscience and Biotechnology, BMIC, Konkuk University, Seoul, Republic of Korea (Y.L.).
Yidan WangMolecular & Environmental Toxicology Center, Department of Oncology (C.G.C., W.X.), Department of Oncology (C.G.C., F.L., C.K.S., Y.W., W.X.), and Wisconsin Clinical Sciences Center, Department of Biostatistics and Medical Informatics (M.L., M.Y.), University of Wisconsin-Madison, Madison, Wisconsin; and Division of Bioscience and Biotechnology, BMIC, Konkuk University, Seoul, Republic of Korea (Y.L.).
Yoongho LimMolecular & Environmental Toxicology Center, Department of Oncology (C.G.C., W.X.), Department of Oncology (C.G.C., F.L., C.K.S., Y.W., W.X.), and Wisconsin Clinical Sciences Center, Department of Biostatistics and Medical Informatics (M.L., M.Y.), University of Wisconsin-Madison, Madison, Wisconsin; and Division of Bioscience and Biotechnology, BMIC, Konkuk University, Seoul, Republic of Korea (Y.L.).
Menggang YuMolecular & Environmental Toxicology Center, Department of Oncology (C.G.C., W.X.), Department of Oncology (C.G.C., F.L., C.K.S., Y.W., W.X.), and Wisconsin Clinical Sciences Center, Department of Biostatistics and Medical Informatics (M.L., M.Y.), University of Wisconsin-Madison, Madison, Wisconsin; and Division of Bioscience and Biotechnology, BMIC, Konkuk University, Seoul, Republic of Korea (Y.L.).
Wei XuMolecular & Environmental Toxicology Center, Department of Oncology (C.G.C., W.X.), Department of Oncology (C.G.C., F.L., C.K.S., Y.W., W.X.), and Wisconsin Clinical Sciences Center, Department of Biostatistics and Medical Informatics (M.L., M.Y.), University of Wisconsin-Madison, Madison, Wisconsin; and Division of Bioscience and Biotechnology, BMIC, Konkuk University, Seoul, Republic of Korea (Y.L.) wxu@oncology.wisc.edu.
Konkuk University · KRUniversity of Wisconsin–Madison · US

Funding

UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI AMY TRENTHAM-DIETZ · 1985 to 2026
$142.6M
Role of Beta-Catenin in Urinary DysfunctionU54DK104310 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI MACOSKA, JILL A., MARKER, PAUL C · 2014 to 2023
$12.8M
Molecular & Environmental Toxicology Pre-& Postdoctoral Training ProgramT32ES007015 · NIEHS · UNIVERSITY OF WISCONSIN-MADISON · PI CHRISTOPHER A BRADFIELD · 1985 to 2026
$11.5M
Protein Arginine Methylation in Chemotherapy ResistanceR01CA213293 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI XU, WEI · 2017 to 2021
$795k
NCI NIH HHS P30 CA014520NCI NIH HHS R01 CA213293NIDDK NIH HHS U54 DK104310NIEHS NIH HHS T32 ES007015
6 · The paper itself

Abstract

The biologic effects of estrogens are transduced by two estrogen receptors (ERs), ER

Indexed as

Bioluminescence Resonance Energy Transfer TechniquesCell LineComputational BiologyDrug Evaluation, PreclinicalEstrogen Receptor alphaEstrogen Receptor betaFemaleHEK293 CellsHumansLigandsMammary Glands, HumanMCF-7 CellsModels, MolecularPhytoestrogensProtein MultimerizationEstrogen Receptor alphaEstrogen Receptor betaLigandsPhytoestrogens

Identifiers

PMID29295894
PMCPMC5801554
OpenAlexW2781532010

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.