Conformation and binding of 12 Microcystin (MC) congeners to PPP1 using molecular dynamics simulations: A potential

Sabrina Jaeger-Honz1, Raymund Hackett1, Regina Fotler2

  • 1Department of Informatics and Information Science, University of Konstanz, Germany.

PubMed

Insights

Molecular dynamics simulations reveal distinct microcystin (MC) backbone conformations influencing toxicity. Congener-specific analysis is crucial for accurate human risk assessment of these cyanobacterial toxins.

Area of Science:

  • Environmental toxicology
  • Computational chemistry
  • Biochemistry

Background:

  • Microcystins (MCs) are cyanobacterial toxins with diverse congeners, posing health risks through contaminated water and food.
  • Current risk assessment primarily focuses on MC-LR, overlooking the varying toxicity of other MC congeners.
  • Experimental toxicity testing for all ~300 MC congeners is impractical.

Purpose of the Study:

  • To investigate congener-specific differences in microcystin toxicity using molecular dynamics (MD) simulations.
  • To explore how MC structures adapt conformations upon binding to protein phosphatase 1 (PPP1).
  • To provide a basis for improved risk assessment of microcystins.

Main Methods:

  • Performed MD simulations for twelve MC congeners, including eight novel simulations.
  • Analyzed MC backbone conformations and their stability during binding to PPP1.
  • Examined interaction patterns between MC congeners and PPP1.

Main Results:

  • MC congeners adopt distinct backbone conformations based on their structure and toxicity.
  • Conformations can shift upon PPP1 binding, impacting binding stability.
  • Identified common and unique interaction patterns between MCs and PPP1, highlighting congener-specific binding behaviors.

Conclusions:

  • MD simulations reveal congener-specific conformational adaptations and binding interactions of microcystins.
  • These findings underscore the necessity of congener-specific investigations for accurate toxicity evaluation.
  • This approach offers a potential method for characterizing untested or unknown MC congeners, improving human risk assessment.