I would say that in a small survey (~5-6) of bacterial enzymes from our lab, 
AlphaFold2 predicted exactly the constructs that were discovered by limited 
proteolysis and/or sequence alignment for currently unpublished structures.

It’s a useful tool but I’ve also had two cases where it incorrectly predicted 
the sequences of helices in a helical bundle—frameshift errors in the sequence, 
which were confirmed by SeMet SAD data. Caveat emptor.

Diana

**************************************************
Diana R. Tomchick
Professor
Departments of Biophysics and Biochemistry
UT Southwestern Medical Center
5323 Harry Hines Blvd.
Rm. ND10.214A
Dallas, TX 75390-8816
diana.tomch...@utsouthwestern.edu<mailto:diana.tomch...@utsouthwestern.edu>
(214) 645-6383 (phone)
(214) 645-6353 (fax)




On Apr 4, 2022, at 2:06 PM, Scott Classen 
<sclas...@lbl.gov<mailto:sclas...@lbl.gov>> wrote:


EXTERNAL MAIL

Hello CCP4,

Has anyone successfully used the available ML/AI protein folding tools to guide 
crystallization construct design? Maybe you had a protein or domain that was 
resistant to crystallization efforts and the folding algorithms  predicted some 
loops or termini that were disordered? Then you trimmed or modified them in 
some way to aid in crystallization? Or if you haven’t done this yourself, are 
you aware of anyone who has?

Thanks,
Scott


~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Scott Classen, Ph.D.
ALS-ENABLE
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SIBYLS Beamline 12.3.1
Advanced Light Source
Lawrence Berkeley National Laboratory
1 Cyclotron Rd
MS6R2100
Berkeley, CA 94720
mobile 510.206.4418
desk 510.495.2697
beamline 510.495.2134
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


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