Re: [DIYbio] Re: Intein control in a targeted cancer therapy

I didn't find that statement anywhere in the article you post but it does say this "Fifty years ago, the protein-folding problem was born as a grand challenge of basic science. Since then, our understanding has advanced considerably."

The paper you found the link on is a paper simulating and recapitulating experimental protein folding for fast folding single domain proteins.

Read about force fields used in computational chemistry and molecular dynamics simulations.

Google "force fields and protein folding"
http://www.ncbi.nlm.nih.gov/pubmed/21539772
"To that end, we performed equilibrium simulations of a fast-folding variant of the villin headpiece using four different force fields. In each simulation, we observed a large number of transitions between the unfolded and folded states, and in all four cases, both the rate of folding and the structure of the native state were in good agreement with experiments."

The lab I work in uses an ab initio C-beta side chain model that works off of statistical potentials and forces and they can fold proteins and predict folding pathways.
http://www.pnas.org/content/106/10/3734.short

Yes, Protein Biophysicists and Biochemists do know a fair bit about protein folding.

If you want to argue about how much we know about protein folding I don't think this is the thread. If you want to add to the critique of the manuscript the OP posted that would probably be more useful.

On Tue, Jul 2, 2013 at 3:58 PM, matt harbowy <hbergeronx@gmail.com> wrote:
Re: protein folding- take a look at one of the refs on the link you provided. http://www.sciencemag.org/content/338/6110/1042.full

The forces involved in protein folding are not "well understood"- the most successful structure predictors are ones that use established crystal structures and motifs. While leaders in the field believe  quite rightfully and honestly they have cracked this; what they believe, and finished solutions, are two very different things.

-matt
"Be a molecular model... Or just look like one!"

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