Evidence map›Paper›PMID 28931921›Full record

ArticleScientific reports2017

An iterative compound screening contest method for identifying target protein inhibitors using the tyrosine-protein kinase Yes.

Shuntaro Chiba, Takashi Ishida, Kazuyoshi Ikeda, Masahiro Mochizuki, Reiji Teramoto, Y-H Taguchi, Mitsuo Iwadate, Hideaki Umeyama, Chandrasekaran Ramakrishnan, A Mary Thangakani and 21 more

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

  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

31 authors.

Shuntaro ChibaAdvanced Computational Drug Discovery Unit, Institute of Innovative Research, Tokyo Institute of Technology, J3-23 4259 Nagatsuta-cho, Midori-ku, Yokohama, 226-8501, Japan.
Takashi IshidaAdvanced Computational Drug Discovery Unit, Institute of Innovative Research, Tokyo Institute of Technology, J3-23 4259 Nagatsuta-cho, Midori-ku, Yokohama, 226-8501, Japan.
Kazuyoshi IkedaLevel Five Co. Ltd., Shiodome Shibarikyu Bldg., 1-2-3 Kaigan, Minato-ku, Tokyo, 105-0022, Japan.
Masahiro MochizukiIMSBIO Co., Ltd., Level 6 OWL TOWER, 4-21-1 Higashi-Ikebukuro, Toshima-ku, Tokyo, 170-0013, Japan.
Reiji TeramotoForerunner Pharma Research, Co., Ltd., Yokohama Bio Industry Center, 1-6 Suehiro-cho, Tsurumi-ku, Yokohama, 230-0045, Japan.
Y-H TaguchiDepartment of Physics, Chuo University, 1-13-27 Kasuga, Bunkyo-ku, Tokyo, 112-8551, Japan.ORCID 0000-0003-0867-8986
Mitsuo IwadateDepartment of Biological Sciences, Chuo University, 1-13-27 Kasuga, Bunkyo-ku, Tokyo, 112-8551, Japan.
Hideaki UmeyamaDepartment of Biological Sciences, Chuo University, 1-13-27 Kasuga, Bunkyo-ku, Tokyo, 112-8551, Japan.
Chandrasekaran RamakrishnanDepartment of Biotechnology, Bhupat Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai, 600036, Tamilnadu, India.ORCID 0000-0003-4622-2496
A Mary ThangakaniCAS in Crystallography and Biophysics and Bioinformatics Facility, University of Madras, Chennai, 600025, Tamilnadu, India.
D VelmuruganCAS in Crystallography and Biophysics and Bioinformatics Facility, University of Madras, Chennai, 600025, Tamilnadu, India.
M Michael GromihaDepartment of Biotechnology, Bhupat Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai, 600036, Tamilnadu, India.
Tatsuya OkunoDivision of Neurogenetics, Nagoya University Graduate School of Medicine, 65 Tsurumai, Showa-ku, Nagoya, 466-8550, Japan.
Koya KatoDepartment of Computational Science and Engineering, Nagoya University, Furocho, Chikusa, Nagoya, 464-8603, Japan.
Shintaro MinamiDepartment of Complex Systems Science, Graduate School of Information Science, Nagoya University, Furocho, Chikusa, Nagoya, 464-8601, Japan.
George ChikenjiDepartment of Computational Science and Engineering, Nagoya University, Furocho, Chikusa, Nagoya, 464-8603, Japan.
Shogo D SuzukiDepartment of Computer Science, Tokyo Institute of Technology, 2-12-1, Ookayama, Meguro-ku, Tokyo, 152-8550, Japan.
Keisuke YanagisawaDepartment of Computer Science, Tokyo Institute of Technology, 2-12-1, Ookayama, Meguro-ku, Tokyo, 152-8550, Japan.
Woong-Hee ShinDepartment of Biological Sciences, Purdue University, Indiana, 47907, USA.
Daisuke KiharaDepartment of Biological Sciences, Purdue University, Indiana, 47907, USA.
Kazuki Z YamamotoIsotope Science Center, The University of Tokyo, 2-11- 16, Yayoi, Bunkyo-ku, Tokyo, 113-0032, Japan.
Yoshitaka MoriwakiDepartment of Biotechnology, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo, 113-8657, Japan.ORCID 0000-0003-0448-9790
Nobuaki YasuoDepartment of Computer Science, Tokyo Institute of Technology, 2-12-1, Ookayama, Meguro-ku, Tokyo, 152-8550, Japan.
Ryunosuke YoshinoDepartment of Biotechnology, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo, 113-8657, Japan.
Sergey ZozulyaBienta/Enamine Ltd., 78 Chervonotkatska Street, Kyiv, 02660, Ukraine.
Petro BoryskoBienta/Enamine Ltd., 78 Chervonotkatska Street, Kyiv, 02660, Ukraine.
Roman StavniichukBienta/Enamine Ltd., 78 Chervonotkatska Street, Kyiv, 02660, Ukraine.
Teruki HonmaAdvanced Computational Drug Discovery Unit, Institute of Innovative Research, Tokyo Institute of Technology, J3-23 4259 Nagatsuta-cho, Midori-ku, Yokohama, 226-8501, Japan.
Takatsugu HirokawaMolecular Profiling Research Center for Drug Discovery, National Institute of Advanced Industrial Science and Technology, 2-4-7 Aomi, Koto-ku, Tokyo, 135-0064, Japan.
Yutaka AkiyamaAdvanced Computational Drug Discovery Unit, Institute of Innovative Research, Tokyo Institute of Technology, J3-23 4259 Nagatsuta-cho, Midori-ku, Yokohama, 226-8501, Japan.
Masakazu SekijimaAdvanced Computational Drug Discovery Unit, Institute of Innovative Research, Tokyo Institute of Technology, J3-23 4259 Nagatsuta-cho, Midori-ku, Yokohama, 226-8501, Japan. sekijima@c.titech.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We propose a new iterative screening contest method to identify target protein inhibitors. After conducting a compound screening contest in 2014, we report results acquired from a contest held in 2015 in this study. Our aims were to identify target enzyme inhibitors and to benchmark a variety of computer-aided drug discovery methods under identical experimental conditions. In both contests, we employed the tyrosine-protein kinase Yes as an example target protein. Participating groups virtually screened possible inhibitors from a library containing 2.4 million compounds. Compounds were ranked based on functional scores obtained using their respective methods, and the top 181 compounds from each group were selected. Our results from the 2015 contest show an improved hit rate when compared to results from the 2014 contest. In addition, we have successfully identified a statistically-warranted method for identifying target inhibitors. Quantitative analysis of the most successful method gave additional insights into important characteristics of the method used.

Indexed as

Drug DiscoveryEnzyme InhibitorsHigh-Throughput Screening AssaysHumansMachine LearningMolecular StructureProtein BindingProtein Kinase InhibitorsProto-Oncogene Proteins c-yesReproducibility of ResultsStructure-Activity RelationshipEnzyme InhibitorsProtein Kinase InhibitorsProto-Oncogene Proteins c-yesYES1 protein, human

Identifiers

PMID28931921
PMCPMC5607274

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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.