Evidence map›Paper›PMID 26929980›Full record

ArticleJournal of medicinal chemistry2016

Delineation of Polypharmacology across the Human Structural Kinome Using a Functional Site Interaction Fingerprint Approach.

Zheng Zhao, Li Xie, Lei Xie, Philip E Bourne

Abstract read
In one paragraph

Article in Journal of medicinal chemistry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Advances in reversible covalent kinase inhibitors.Medicinal research reviews · 2025
    Review
  2. Article
  3. Article
  4. Article
  5. How Ligands Interact with the Kinase Hinge.ACS medicinal chemistry letters · 2023
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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

4 authors.

Zheng ZhaoNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health , Bethesda, Maryland 20894, United States.
Li XieScripps Ranch , San Diego, California 92131, United States.
Lei XieDepartment of Computer Science, Hunter College, The City University of New York , New York, New York 10065, United States.
Philip E BourneOffice of the Director, National Institutes of Health, Bethesda, Maryland 20892, United States.

Funding

Basic and Translational Research Center for Reducing Health DisparitiesG12MD007599 · NIMHD · HUNTER COLLEGE · PI ANGULO, JESUS A · 2012 to 2017
$14.6M
Structural Bioinformatics, Systems Pharmacology and Scholarly CommunicationZIALM000928 · NLM · NATIONAL LIBRARY OF MEDICINE · PI BOURNE, PHILIP · 2015 to 2016
$1.3M
Drug discovery by integrating chemical genomics and structural systems biologyR01LM011986 · NLM · HUNTER COLLEGE · PI BRINKMAN, FIONA, BURLEY, STEPHEN K · 2014 to 2017
$1.2M
Intramural NIH HHS Z99 LM999999NIMHD NIH HHS G12 MD007599NLM NIH HHS R01 LM011986
6 · The paper itself

Abstract

Targeted polypharmacology of kinases has emerged as a promising strategy to design efficient and safe therapeutics. Here, we perform a systematic study of kinase-ligand binding modes for the human structural kinome at scale (208 kinases, 1777 unique ligands, and their complexes) by integrating chemical genomics and structural genomics data and by introducing a functional site interaction fingerprint (Fs-IFP) method. New insights into kinase-ligand binding modes were obtained. We establish relationships between the features of binding modes, the ligands, and the binding pockets, respectively. We also drive the intrinsic binding specificity and which correlation with amino acid conservation. Third, we explore the landscape of the binding modes and highlight the regions of "selectivity pocket" and "selectivity entrance". Finally, we demonstrate that Fs-IFP similarity is directly correlated to the experimentally determined profile. These improve our understanding of kinase-ligand interactions and contribute to the design of novel polypharmacological therapies targeting kinases.

Indexed as

PolypharmacologyDatabases, ProteinDrug DesignHumansProtein KinasesProtein Kinases

Identifiers

PMID26929980
PMCPMC4865454

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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.