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Mutations01:39

Mutations

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Mutations01:35

Mutations

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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...
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Viral Mutations00:36

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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...
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Mutation, Gene Flow, and Genetic Drift01:09

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In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).
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Mutations in Microorganisms01:18

Mutations in Microorganisms

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Mutations are heritable changes in an organism’s genome involving alterations in the base sequence of DNA or RNA. These changes can influence cellular processes and phenotypic traits, potentially transforming the unaltered wild type into a mutant form. Such changes, termed forward mutations, are pivotal in shaping the genetic diversity of organisms.RNA viruses exhibit the highest mutation rates due to the absence of robust proofreading mechanisms during genome replication. In contrast,...
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Point and Frameshift Mutations01:30

Point and Frameshift Mutations

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Point mutations are genetic alterations involving the change of a single nucleotide base pair in DNA. Depending on how the alteration affects protein synthesis, they can lead to various consequences.Point mutations fall into the following types:Silent mutations occur when a nucleotide change does not alter the amino acid sequence due to the redundancy of the genetic code. For instance, changing ACC to ACA still encodes threonine, leaving the protein function unaffected. This occurs because...
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Related Experiment Video

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Deciphering the Structural Effects of Activating EGFR Somatic Mutations with Molecular Dynamics Simulation
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Exploring Gatekeeper Mutations in EGFR through Computer Simulations.

Srinivasaraghavan Kannan1, Stephen J Fox1, Chandra S Verma1,2,3

  • 1Bioinformatics Institute , Agency for Science Technology and Research (A*STAR) , 30 Biopolis Street , #07-01 Matrix, Singapore 138671 Singapore.

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Summary
This summary is machine-generated.

Predicting drug resistance mutations is crucial for targeted therapy. This study developed a computational method to identify mutations in EGFR gatekeeper T790, finding five well-tolerated mutations, two with increased drug affinity.

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Area of Science:

  • Computational biology
  • Pharmacology
  • Molecular modeling

Background:

  • Drug resistance mutations are a significant challenge in targeted cancer therapy.
  • Predictive methods are needed to anticipate resistance mutations in proteins like EGFR.
  • The gatekeeper T790 position in EGFR is a common site for resistance mutations.

Purpose of the Study:

  • To develop a computational protocol for predicting drug-resistant mutations at the EGFR T790 gatekeeper site.
  • To investigate the structural and energetic effects of T790 mutations on drug and ATP binding.
  • To assess the correlation between predicted binding affinities and experimental data.

Main Methods:

  • Computational modeling to analyze protein-ligand interactions.
  • Energy calculations to assess mutation tolerance and binding affinity.
  • Comparison of predicted binding trends with existing experimental data.

Main Results:

  • Identified five structurally and energetically tolerated mutations at the EGFR T790 position.
  • Two mutations showed predicted increased affinity for EGFR inhibitors over ATP.
  • The computational methods successfully reproduced trends in experimental binding affinities.

Conclusions:

  • The developed computational protocol can predict the effects of mutations on drug binding affinity.
  • Increased binding affinity does not always equate to increased drug efficacy.
  • Further methods are needed to predict drug binding kinetics and overall efficacy.