Evidence map›Paper›PMID 34272694›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

Numerical Methods for Modeling Enzyme Kinetics.

Jaydeep Yadav, Ken Korzekwa, Swati Nagar

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Enzyme-substrate-inactivator complex formation can impact time-dependent inhibition kinetics.Drug metabolism and disposition: the biological fate of chemicals · 2026
    Article
  2. Article
  3. 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.

Jaydeep YadavPharmacokinetics, Pharmacodynamics and Drug Metabolism, Merck Research Laboratories, Boston, MA, USA. jaydeep.yadav@merck.com.
Ken KorzekwaDepartment of Pharmaceutical Sciences, Temple University School of Pharmacy, Philadelphia, PA, USA.
Swati NagarDepartment of Pharmaceutical Sciences, Temple University School of Pharmacy, Philadelphia, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Differential equations are used to describe time-dependent changes in enzyme kinetics and pharmacokinetics. Analytical and numerical methods can be used to solve differential equations. This chapter describes the use of numerical methods in solving differential equations and its applications in characterizing the complexities observed in enzyme kinetics. A discussion is included on the use of numerical methods to overcome limitations of explicit equations in the analysis of metabolism kinetics, reversible inhibition kinetics, and inactivation kinetics. The chapter describes the advantages of using numerical methods when Michaelis-Menten assumptions do not hold.

Indexed as

AlgorithmsAnimalsBinding SitesEnzyme InhibitorsEnzymesHumansKineticsModels, TheoreticalEnzyme InhibitorsEnzymesAtypical kineticsCYP inactivationMichaelis–MentenMultiple binding kineticsNumerical methods

Identifiers

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.