Evidence map›Paper›PMID 31025863›Full record

ArticleJournal of chemical information and modeling2019

Extended Multitarget Pharmacology of Anticancer Drugs.

Da Shi, Feroz Khan, Ruben Abagyan

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2019. 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. Dual-target carbonic anhydrase inhibitors in cancer therapy: progress, challenges, and opportunities.Medicinal chemistry research : an international journal for rapid communications on design and mechanisms of action of biologically active agents · 2026
    Review
  2. FungalInternational journal of molecular sciences · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Virtual Screening and Network Pharmacology-Based Study to Explore the Pharmacological Mechanism ofEvidence-based complementary and alternative medicine : eCAM · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Preparation andRSC advances · 2019
    Article
  13. 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

3 authors.

Da ShiSkaggs School of Pharmacy and Pharmaceutical Sciences , University of California, San Diego , La Jolla , California 92093-0747 , United States.ORCID 0000-0002-1953-2299
Feroz KhanMetabolic and Structural Biology Department , CSIR-Central Institute of Medicinal and Aromatic Plants (CIMAP) , Lucknow 226015 , Uttar Pradesh , India.
Ruben AbagyanSkaggs School of Pharmacy and Pharmaceutical Sciences , University of California, San Diego , La Jolla , California 92093-0747 , United States.ORCID 0000-0001-9309-2976

Funding

Addressing biomedical challenges with computational mechanics and big dataR35GM131881 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ABAGYAN, RUBEN · 2019 to 2023
$1.9M
NIGMS NIH HHS R35 GM131881
6 · The paper itself

Abstract

Multitarget pharmacology of small-molecule cancer drugs significantly contributes to their mechanism of action, side effects, and emergence of drug resistance and opens ways to repurpose, combine, or customize drug therapy. In most cases, the set of targets affected at therapeutic concentrations is not fully characterized and/or the interaction efficacy values are not accurately quantified. We collected information about multiple targets for each cancer drug along with their experimental effective concentrations or binding activities from multiple sources. All multitarget activity values for each drug then were used to build two proximity network pharmacology maps of anticancer drugs and targets of those drugs, respectively. Together with the network map, we showed that the majority of the cancer drugs had substantial multitarget pharmacology based on our current knowledge. In addition, most of the cancer drugs simultaneously affect macromolecular targets from different classes and types. The target subset can further be accentuated and personalized by patient sample-specific expression data. The network maps of cancer drugs and targets as well as all quantified activity data were integrated into a freely available database, CancerDrugMap (http://ruben.ucsd.edu/dnet/maps/drugnet.html). The identified multitarget pharmacology of cancer drugs is essential for improving the efficacy of individually prescribed drugs and drug combinations and minimization of adverse effects.

Indexed as

Drug DiscoveryMolecular Targeted TherapyAntineoplastic AgentsDatabases, PharmaceuticalDrug ApprovalInternetMolecular Dynamics SimulationProtein ConformationProtein Kinase InhibitorsAntineoplastic AgentsProtein Kinase Inhibitors

Identifiers

PMID31025863
PMCPMC7100364

What OpenQuestion holds

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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.