Literature DB >> 12402328

Effect of rate of chemical or thermal renaturation on refolding and aggregation of a simple lattice protein.

Hung D Nguyen1, Carol K Hall.   

Abstract

We used dynamic Monte Carlo simulation to investigate how changing the rate of chemical or thermal renaturation affects the folding and aggregation behavior of a system of simple, two-dimensional lattice protein molecules. Four renaturation methods were simulated: infinitely slow cooling; slow but finite cooling; quenching; and pulse renaturation. The infinitely slow cooling method, which is equivalent to dialysis or diafiltration, provides refolding yields that are relatively high and aggregates that are relatively small (mostly dimers or trimers). The slow but finite cooling method, which is equivalent to multiple-step dilution, provides refolding yields that are almost as high as those observed in the infinitely slow cooling case, but in a relatively short period of time. Quenching, which is equivalent to one-step dilution or quick quenching, is extremely slow and has low re- folding yields. A maximum appears in the refolding yield as a function of denaturant concentration in the simulation but disappears after a very long duration. Finally, the pulse renaturation method provides refolding yields that are substantially higher than those observed in the other three methods, even at high packing fractions. As in the early stages of quenching, there is a maximum in the refolding yield as a function of denaturant concentration when relatively large numbers of denatured chains are added to the refolding solution at each step. Copyright 2002 Wiley Periodicals, Inc.

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Year:  2002        PMID: 12402328     DOI: 10.1002/bit.10448

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  4 in total

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3.  Spontaneous fibril formation by polyalanines; discontinuous molecular dynamics simulations.

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4.  DNA unwinding heterogeneity by RecBCD results from static molecules able to equilibrate.

Authors:  Bian Liu; Ronald J Baskin; Stephen C Kowalczykowski
Journal:  Nature       Date:  2013-07-14       Impact factor: 49.962

  4 in total

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