Hi Mark,

I also use dis.embl and IUPred in Jalview when trying to come up with construct 
boundaries.

In the specific case I was referring to, we had a secreted human protein with a 
long and atypical secretion tag, which made it difficult to place the 
N-terminus of the mature protein within the sequence.

My initial attempts didn't work at all, and after reviewing the AF2 model at 
the EBI database, I removed a further ~30 residues at the N-terminus, which 
yielded a well expressed, soluble, secreted product.

Speaking more generally, I think that AF2 is probably "just another tool" for 
helping to inform construct boundaries.
I have no empirical evidence that the AF2 pLDDT is more sensitive or accurate 
than other bespoke disorder prediction software.

Because it worked once for me, I'll run it/check the EBI database every time 
from now on, but you're absolutely right that I probably would have done that 
anyway!

Best,

Dave


--

Dr David C. Briggs CSci MRSB

Senior Laboratory Research Scientist

Signalling and Structural Biology Lab

The Francis Crick Institute

London, UK

==

about.me/david_briggs

________________________________
From: Mark J. van Raaij <mjvanra...@cnb.csic.es>
Sent: 05 April 2022 14:47
To: CCP4BB@jiscmail.ac.uk <CCP4BB@JISCMAIL.AC.UK>
Cc: David Briggs <david.bri...@crick.ac.uk>
Subject: Re: [ccp4bb] Has anyone successfully used RoseTTAFold or AF2 to guide 
crystallization?


External Sender: Use caution.

Hi David,

do you think that alphafold2 dis/order prediction is better than specific 
disorder predictors?

i.e.
http://dis.embl.de<https://eur03.safelinks.protection.outlook.com/?url=http%3A%2F%2Fdis.embl.de%2F&data=04%7C01%7C%7C84f2f05bbd5a4598ff5908da170ae108%7C4eed7807ebad415aa7a99170947f4eae%7C0%7C1%7C637847632751920405%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000&sdata=2FjXOEwioG4hdIuef0nPFEM%2B4pV6V%2FB9kYa9phWu4Ds%3D&reserved=0>
 , which we've used for construct design
https://prdos.hgc.jp<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fprdos.hgc.jp%2F&data=04%7C01%7C%7C84f2f05bbd5a4598ff5908da170ae108%7C4eed7807ebad415aa7a99170947f4eae%7C0%7C1%7C637847632751920405%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000&sdata=ckpin7cUBV3sVYnc1Coxe72%2FQNMd1M%2ByXpoRaCbdRgE%3D&reserved=0>
 , which I haven't really tried yet
https://iupred2a.elte.hu<https://eur03.safelinks.protection.outlook.com/?url=http%3A%2F%2Fiupred2a.elte.hu%2F&data=04%7C01%7C%7C84f2f05bbd5a4598ff5908da170ae108%7C4eed7807ebad415aa7a99170947f4eae%7C0%7C1%7C637847632751920405%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000&sdata=5IVfLHj7g9Wq4BiQdoez1wB0mgsvQ608xAcw3LzY%2BnM%3D&reserved=0>
 (which a colleague here likes because it also tries to predict likelihood of 
protein interactions)

Or perhaps it's just because you were going to run alphafold2 anyway?

best wishes,

Mark

Mark J van Raaij
Dpto de Estructura de Macromoleculas, lab 20B
Centro Nacional de Biotecnologia - CSIC
calle Darwin 3
E-28049 Madrid, Spain
tel. +34 91 585 4616 (internal 432092)


On 4 Apr 2022, at 21:30, David Briggs 
<david.bri...@crick.ac.uk<mailto:david.bri...@crick.ac.uk>> wrote:

Hi Scott,

I've used AF2 order/disorder prediction (based up pLDDT score) to decided upon 
construct boundaries. We turned a non-expressing construct into a reasonably 
well expressing construct based on the AF2 prediction.

It's part of my construct design process now.

HTH,

Dave

--
Dr David C. Briggs
Senior Laboratory Research Scientist
Signalling and Structural Biology Lab
The Francis Crick Institute
London, UK
==
about.me/david_briggs<https://eur03.safelinks.protection.outlook.com/?url=http%3A%2F%2Fabout.me%2Fdavid_briggs&data=04%7C01%7C%7C84f2f05bbd5a4598ff5908da170ae108%7C4eed7807ebad415aa7a99170947f4eae%7C0%7C1%7C637847632751920405%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000&sdata=RqGd8%2Fy%2FuaLk%2B9IjCfiagj%2BZiHQB%2BYwAu269u7C0HFs%3D&reserved=0>
________________________________
From: CCP4 bulletin board <CCP4BB@JISCMAIL.AC.UK<mailto:CCP4BB@JISCMAIL.AC.UK>> 
on behalf of Scott Classen <sclas...@lbl.gov<mailto:sclas...@lbl.gov>>
Sent: Monday, April 4, 2022 8:06:38 PM
To: CCP4BB@JISCMAIL.AC.UK<mailto:CCP4BB@JISCMAIL.AC.UK> 
<CCP4BB@JISCMAIL.AC.UK<mailto:CCP4BB@JISCMAIL.AC.UK>>
Subject: [ccp4bb] Has anyone successfully used RoseTTAFold or AF2 to guide 
crystallization?


External Sender: Use caution.

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
TomAlberTron Beamline 8.3.1
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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