Discovery of novel Mnk inhibitors using mutation-based induced-fit virtual high-throughput screening

Rama K Mishra1,2, Matthew R Clutter3,4,5, Gavin T Blyth4,6

  • 1The Center for Molecular Innovation and Drug Discovery, Northwestern University, Evanston, IL, USA.

Insights

Researchers developed a novel in silico screening method to discover new inhibitors targeting Mnk kinases (Mnk1 and 2). This approach identified compounds with potent anti-leukemia activity against acute myeloid leukemia progenitors.

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Drug Discovery

Background:

  • Mitogen-activated protein kinase (Map) kinase pathways activate Mnk kinases (Mnk1 and 2).
  • Mnk kinases regulate eukaryotic initiation factor 4E phosphorylation.
  • Mnk pathway activation is crucial in acute myeloid leukemia (AML) development.

Purpose of the Study:

  • To identify novel inhibitors of Mnk kinases.
  • To explore a new structure-based drug design strategy for Mnk inhibitors.
  • To evaluate the therapeutic potential of Mnk inhibitors in AML.

Main Methods:

  • Development of a mutation-based induced-fit in silico screening approach.
  • Modeling of the Mnk1 structure by mutating an amino acid in the ATP-binding site.
  • Docking simulations of known inhibitors and screening for novel compounds.

Main Results:

  • Identified novel Mnk inhibitor compounds through in silico screening.
  • Validated hit compounds in biochemical and cellular assays.
  • Demonstrated activity against acute myeloid leukemia progenitors.

Conclusions:

  • The mutation-based induced-fit in silico screen is effective for identifying Mnk inhibitors.
  • Targeting Mnk kinases represents a promising therapeutic strategy for AML.
  • This approach facilitates rational drug design for novel kinase inhibitors.

Related Concept Videos

Induced-fit Model01:13

Induced-fit Model

Most chemical reactions in cells require enzymes—biological catalysts that speed up the reaction without being consumed or permanently changed. They reduce the activation energy needed to convert the reactants into products. Enzymes are proteins, that usually work by binding to a substrate—a reactant molecule that they act upon.
Enzymes exhibit substrate specificity, meaning that they can only bind to certain substrates. This is mainly determined by the shape and chemical...
89.0K
Spontaneous and Induced Mutations01:30

Spontaneous and Induced Mutations

Spontaneous mutations arise infrequently during DNA replication due to errors in the process. A key factor behind these errors is tautomeric shifts in nitrogenous bases, where bases transition from keto to enol forms or amino to imino forms. This shift can alter base-pairing rules, leading to mutations. Additionally, reactive oxygen species (ROS) arising from aerobic metabolism can damage DNA, resulting in depurination (loss of a purine base) or depyrimidination (loss of a pyrimidine base).
2.1K
Mutations01:39

Mutations

Overview
94.4K
Mutations01:35

Mutations

Mutations are changes in the sequence of DNA. These changes can occur spontaneously or they can be induced by exposure to environmental factors. Mutations can be characterized in a number of different ways: whether and how they alter the amino acid sequence of the protein, whether they occur over a small or large area of DNA, and whether they occur in somatic cells or germline cells.
Chromosomal Alterations Are Large-Scale Mutations
While point mutations are changes in a single nucleotide in...
44.0K
Viral Mutations00:36

Viral Mutations

A mutation is a change in the sequence of bases of DNA or RNA in a genome. Some mutations occur during replication of the genome due to errors made by the polymerase enzymes that replicate DNA or RNA. Unlike DNA polymerase, RNA polymerase is prone to errors because it is not capable of “proofreading” its work. Viruses with RNA-based genomes, like HIV, therefore accrue mutations faster than viruses with DNA-based genomes. Because mutation and recombination provide the raw material...
39.8K
Goodness-of-Fit Test01:16

Goodness-of-Fit Test

The goodness-of-fit test is a type of hypothesis test which determines whether the data "fits" a particular distribution. For example, one may suspect that some anonymous data may fit a binomial distribution. A chi-square test (meaning the distribution for the hypothesis test is chi-square) can be used to determine if there is a fit. The null and alternative hypotheses may be written in sentences or stated as equations or inequalities. The test statistic for a goodness-of-fit test is given as...
8.1K