Evidence map›Paper›PMID 26077136›Full record

ArticleScientific reports2015

Anchor-based classification and type-C inhibitors for tyrosine kinases.

Kai-Cheng Hsu, Tzu-Ying Sung, Chih-Ta Lin, Yi-Yuan Chiu, John T-A Hsu, Hui-Chen Hung, Chung-Ming Sun, Indrajeet Barve, Wen-Liang Chen, Wen-Chien Huang and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-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

9 citing papers in PubMed, 15 citations in OpenAlex.

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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

13 authors at 3 institutions in 1 country.

Kai-Cheng HsuInstitute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu, Taiwan.
Tzu-Ying SungInstitute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu, Taiwan.
Chih-Ta LinInstitute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu, Taiwan.
Yi-Yuan ChiuInstitute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu, Taiwan.
John T-A Hsu1] Department of Biological Science and Technology, National Chiao Tung University, Hsinchu, Taiwan [2] Institute of Biotechnology and Pharmaceutical Research, National Health Research Institutes, Miaoli, Taiwan.
Hui-Chen HungInstitute of Biotechnology and Pharmaceutical Research, National Health Research Institutes, Miaoli, Taiwan.
Chung-Ming SunDepartment of Applied Chemistry, National Chiao Tung University, Hsinchu, Taiwan.
Indrajeet BarveDepartment of Applied Chemistry, National Chiao Tung University, Hsinchu, Taiwan.
Wen-Liang ChenDepartment of Biological Science and Technology, National Chiao Tung University, Hsinchu, Taiwan.
Wen-Chien HuangDepartment of Thoracic Surgery, Mackay Memorial Hospital, Taipei City, Taiwan.
Chin-Ting HuangInstitute of Biotechnology and Pharmaceutical Research, National Health Research Institutes, Miaoli, Taiwan.
Chun-Hwa ChenInstitute of Biotechnology and Pharmaceutical Research, National Health Research Institutes, Miaoli, Taiwan.
Jinn-Moon Yang1] Institute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu, Taiwan [2] Department of Biological Science and Technology, National Chiao Tung University, Hsinchu, Taiwan.
National Yang Ming Chiao Tung University · TWNational Health Research Institutes · TWMackay Memorial Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tyrosine kinases regulate various biological processes and are drug targets for cancers. At present, the design of selective and anti-resistant inhibitors of kinases is an emergent task. Here, we inferred specific site-moiety maps containing two specific anchors to uncover a new binding pocket in the C-terminal hinge region by docking 4,680 kinase inhibitors into 51 protein kinases, and this finding provides an opportunity for the development of kinase inhibitors with high selectivity and anti-drug resistance. We present an anchor-based classification for tyrosine kinases and discover two type-C inhibitors, namely rosmarinic acid (RA) and EGCG, which occupy two and one specific anchors, respectively, by screening 118,759 natural compounds. Our profiling reveals that RA and EGCG selectively inhibit 3% (EGFR and SYK) and 14% of 64 kinases, respectively. According to the guide of our anchor model, we synthesized three RA derivatives with better potency. These type-C inhibitors are able to maintain activities for drug-resistant EGFR and decrease the invasion ability of breast cancer cells. Our results show that the type-C inhibitors occupying a new pocket are promising for cancer treatments due to their kinase selectivity and anti-drug resistance.

Indexed as

Amino Acid MotifsAnimalsAntineoplastic Agents, PhytogenicBinding SitesBiological ProductsBreast NeoplasmsCell Line, TumorDrug DesignDrug DiscoveryErbB ReceptorsFemaleHumansIntracellular Signaling Peptides and ProteinsMolecular Docking SimulationMolecular Sequence DataNeoplasm ProteinsAntineoplastic Agents, PhytogenicBiological ProductsEGFR protein, humanErbB ReceptorsIntracellular Signaling Peptides and ProteinsNeoplasm ProteinsProtein Kinase InhibitorsProtein-Tyrosine KinasesRecombinant ProteinsSyk KinaseSYK protein, human

Identifiers

PMID26077136
PMCPMC4468516
OpenAlexW649798993

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.