Evidence map›Paper›PMID 32568737›Full record

ArticleAging2020

Computational study on new natural compound inhibitors of indoleamine 2,3-dioxygenase 1.

Shanshan Jiang, Hui Li, Lianhua Piao, Zheng Jin, Jingyi Liu, Sitong Chen, Luwei Lucy Liu, Yujie Shao, Sheng Zhong, Bo Wu and 5 more

Open access · greenAbstract read
In one paragraph

Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.4field-weighted citation impact, top 49% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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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

15 authors at 4 institutions in 3 countries.

Shanshan JiangDepartment of Neurosurgery, The First Hospital of Jilin University, Changchun, China.
Hui LiClinical College, Jilin University, Changchun, China.
Lianhua PiaoCollege of Basic Medical Sciences, Jilin University, Changchun, China.
Zheng JinDepartment of Neurosurgery, The First Hospital of Jilin University, Changchun, China.
Jingyi LiuDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA.
Sitong ChenDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA.
Luwei Lucy LiuDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA.
Yujie ShaoDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA.
Sheng ZhongDepartment of Neurosurgery, The First Hospital of Jilin University, Changchun, China.
Bo WuClinical College, Jilin University, Changchun, China.
Weihang LiClinical College, Jilin University, Changchun, China.
Jiaxin RenClinical College, Jilin University, Changchun, China.
Yu ZhangClinical College, Jilin University, Changchun, China.
Hao WangClinical College, Jilin University, Changchun, China.
Rihua JinDepartment of Neurosurgery, The First Hospital of Jilin University, Changchun, China.
Jilin University · CNFirst Hospital of Jilin University · CNHarvard University · USAir Force Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Indoleamine 2,3-Dioxygenase (IDO), is a speed limiting enzyme that catalyzes the decomposition and metabolism of Tryptophan along Tryptophan-IDO-Kynurenine pathway [1]. Tryptophan is a necessary amino acid for activating cell growth and metabolism. Additionally, the insufficiency of Tryptophan can lead to immune system dysfunction. Raising the level of Indoleamine 2,3-Dioxygenase protein can promote stagnation and apoptosis of effector T cells [2].In contrast, the decline in the number of effect T cells naturally protects cancer cells from attack. Therefore, Indoleamine 2,3-Dioxygenase is a potential target for tumour immunotherapy, such as melanoma, ovarian cancer, lung cancer, leukaemia, and so on, especially in solid tumours [3]. In the study, we have done sets of virtual screening aided by computer techniques in order to find potentially effective inhibitors of Indoleamine 2,3-Dioxygenase. Firstly, screening based on structure was carried out by Libdock. Then, ADME (adsorption, distribution, metabolism, excretion) and toxicity prediction were also analyzed. Molecular docking and 3D-QSAR pharmacophore generation were used to study the mechanism of these compounds and Indoleamine 2,3-Dioxygenase's binding. A molecular dynamic analysis was carried out to assess if these potential compound's binding is stable enough. According to the results of the analysis above, two potential compounds (ZINC000012495022 and ZINC000003791817) from the ZINC database were discovered to interact with Indoleamine 2,3-Dioxygenase with appropriate energy and proved to be none toxic. The study offered valuable information of Indoleamine 2,3-Dioxygenase inhibitor-based drug discovery in cancer therapy by increasing the activity of T cells and releasing immunity suppression [4, 5].

Indexed as

Antineoplastic AgentsApoptosisCell Line, TumorCrystallography, X-RayDrug DiscoveryFemaleHumansImmunotherapyIndoleamine-Pyrrole 2,3,-DioxygenaseKynurenineMaleMolecular Docking SimulationMolecular Dynamics SimulationMolecular StructureNeoplasmsStructure-Activity RelationshipAntineoplastic AgentsIndoleamine-Pyrrole 2,3,-DioxygenaseKynurenineTryptophanIDO (Indoleamine 2,3-Dioxygenase)inhibitortryptophanvirtual screening

Identifiers

PMID32568737
PMCPMC7343476
OpenAlexW3035772173

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.