Evidence map›Paper›PMID 30501110›Full record

ArticleMolecules (Basel, Switzerland)2018

Design of a Novel and Selective IRAK4 Inhibitor Using Topological Water Network Analysis and Molecular Modeling Approaches.

Myeong Hwi Lee, Anand Balupuri, Ye-Rim Jung, Sungwook Choi, Areum Lee, Young Sik Cho, Nam Sook Kang

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2018. 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
1.1field-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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Unraveling Extremely DamagingJournal of personalized medicine · 2023
    Article
  2. TWN-RENCOD: A novel method for protein binding site comparison.Computational and structural biotechnology journal · 2023
    Article
  3. TWN-FS method: A novel fragment screening method for drug discovery.Computational and structural biotechnology journal · 2023
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Topological Water Network Analysis Around Amino Acids.Molecules (Basel, Switzerland) · 2019
    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

7 authors at 2 institutions in 1 country.

Myeong Hwi LeeGraduate School of New Drug Discovery and Development, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, Korea. mhlee89@cnu.ac.kr.
Anand BalupuriGraduate School of New Drug Discovery and Development, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, Korea. balupuri@cnu.ac.kr.
Ye-Rim JungGraduate School of New Drug Discovery and Development, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, Korea. daniel1356@naver.com.
Sungwook ChoiGraduate School of New Drug Discovery and Development, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, Korea. swchoi2010@cnu.ac.kr.
Areum LeeCollege of Pharmacy, Keimyung University, 1095 Dalgubeol-daero, Dalseo-Gu, Daegu 42601, Korea. a-rum925@hanmail.net.
Young Sik ChoCollege of Pharmacy, Keimyung University, 1095 Dalgubeol-daero, Dalseo-Gu, Daegu 42601, Korea. yscho123@kmgw.kmu.ac.kr.
Nam Sook KangGraduate School of New Drug Discovery and Development, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, Korea. nskang@cnu.ac.kr.
Chungnam National University · KRKeimyung University · KR

Funding

the Ministry of Science, ICT & Future Planning 2017R1A2B4002827
6 · The paper itself

Abstract

Protein kinases are deeply involved in immune-related diseases and various cancers. They are a potential target for structure-based drug discovery, since the general structure and characteristics of kinase domains are relatively well-known. However, the ATP binding sites in protein kinases, which serve as target sites, are highly conserved, and thus it is difficult to develop selective kinase inhibitors. To resolve this problem, we performed molecular dynamics simulations on 26 kinases in the aqueous solution, and analyzed topological water networks (TWNs) in their ATP binding sites. Repositioning of a known kinase inhibitor in the ATP binding sites of kinases that exhibited a TWN similar to interleukin-1 receptor-associated kinase 4 (IRAK4) allowed us to identify a hit molecule. Another hit molecule was obtained from a commercial chemical library using pharmacophore-based virtual screening and molecular docking approaches. Pharmacophoric features of the hit molecules were hybridized to design a novel compound that inhibited IRAK4 at low nanomolar levels in the in vitro assay.

Indexed as

Drug DesignBinding SitesDrug Evaluation, PreclinicalDrug RepositioningInterleukin-1 Receptor-Associated KinasesMolecular Docking SimulationProtein Kinase InhibitorsStaurosporineWaterInterleukin-1 Receptor-Associated KinasesProtein Kinase InhibitorsStaurosporineWaterIRAK4kinase selectivitymolecular dockingmolecular dynamics simulationpharmacophore mappingTopological water networkvirtual screening

Identifiers

PMID30501110
PMCPMC6321621
OpenAlexW2903243474

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.