Evidence map›Paper›PMID 20841376›Full record

ArticleDrug metabolism and disposition: the biological fate of chemicals2010

Quantifying and predicting the promiscuity and isoform specificity of small-molecule cytochrome P450 inhibitors.

Abhinav Nath, Michael A Zientek, Benjamin J Burke, Ying Jiang, William M Atkins

Abstract read
In one paragraph

Article in Drug metabolism and disposition: the biological fate of chemicals, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Designing cytochrome P450 enzymes for use in cancer gene therapy.Frontiers in bioengineering and biotechnology · 2024
    Review
  3. Review
  4. Article
  5. Article
  6. Biological messiness vs. biological genius: Mechanistic aspects and roles of protein promiscuity.The Journal of steroid biochemistry and molecular biology · 2015
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

5 authors.

Abhinav NathDepartment of Molecular Biophysics & Biochemistry, Yale University, P.O. Box 208114, New Haven, CT 06520-8114, USA. abhinav.nath@yale.edu
Michael A Zientek
Benjamin J Burke
Ying Jiang
William M Atkins

Funding

TOXIC DRUG INTERACTIONS WITH VALPROIC ACIDP01GM032165 · NIGMS · UNIVERSITY OF WASHINGTON · PI KUNZE, KENT L · 1985 to 2012
$18.3M
NIGMS NIH HHS GM-32165NIGMS NIH HHS P01 GM032165
6 · The paper itself

Abstract

Drug promiscuity (i.e., inhibition of multiple enzymes by a single compound) is increasingly recognized as an important pharmacological consideration in the drug development process. However, systematic studies of functional or physicochemical characteristics that correlate with drug promiscuity are handicapped by the lack of a good way of quantifying promiscuity. In this article, we present a new entropy-based index of drug promiscuity. We apply this index to two high-throughput data sets describing inhibition of cytochrome P450 isoforms by small-molecule drugs and drug candidates, and we demonstrate how drug promiscuity or specificity can be quantified. For these drug-metabolizing enzymes, we find that there is essentially no correlation between a drug's potency and specificity. We also present an index to quantify the susceptibilities of different enzymes to inhibition by diverse substrates. Finally, we use partial least-squares regression to successfully predict isoform specificity and promiscuity of small molecules, using a set of fingerprint-based descriptors.

Indexed as

Cytochrome P-450 Enzyme InhibitorsEntropyEnzyme InhibitorsIsoenzymesLeast-Squares AnalysisCytochrome P-450 Enzyme InhibitorsEnzyme InhibitorsIsoenzymes

Identifiers

PMID20841376
PMCPMC2993456

What OpenQuestion holds

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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.