How fast fast-folding proteins fold in silico.

Biochem Biophys Res Commun

Computer-Aided Molecular Design Laboratory, Mayo Clinic, Rochester, MN 55905, USA. Electronic address:

Published: October 2017

AI Article Synopsis

  • Fast-folding proteins CLN025 and Trp-cage achieved their native structures in microcanonical molecular dynamics simulations but the simulated folding times were initially 4-10 times longer than experimental data.
  • Recent simulations in isobaric-isothermal conditions improved accuracy, showing folding times within 0.69-1.75 times of experimental values at varying temperatures.
  • These findings suggest the potential for advanced computer algorithms to predict protein conformational changes and communication functions, enhancing our understanding of genetic information in biological processes.

Article Abstract

In reported microcanonical molecular dynamics simulations, fast-folding proteins CLN025 and Trp-cage autonomously folded to experimentally determined native conformations. However, the folding times of these proteins derived from the simulations were more than 4-10 times longer than their experimental values. This article reports autonomous folding of CLN025 and Trp-cage in isobaric-isothermal molecular dynamics simulations with agreements within factors of 0.69-1.75 between simulated and experimental folding times at different temperatures. These results show that CLN025 and Trp-cage can now autonomously fold in silico as fast as in experiments, and suggest that the accuracy of folding simulations for fast-folding proteins begins to overlap with the accuracy of folding experiments. This opens new prospects of developing computer algorithms that can predict both ensembles of conformations and their interconversion rates for a protein from its sequence for artificial intelligence on how and when a protein acts as a receiver, switch, and relay to facilitate various subcellular-to-tissue communications. Then the genetic information that encodes proteins can be better read in the context of intricate biological functions.

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Source
http://dx.doi.org/10.1016/j.bbrc.2017.08.010DOI Listing

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