Hi Marco,

To follow up: if your protein is something like WRN or BLM helicase - you
mention recA like fold after all - (I worked on these in the past hehe)
then the split into domains is almost mandatory - these proteins are very
plastic and doing MR on them is equivalent to doing antibody MR where you
absolutely have to treat domains as separately mobile rigid bodies.

I would love to help more but it would require more sharing that you might
be justifiably unwilling or unable to do :)

Best of luck,

Artem



On Mon, Feb 19, 2024 at 6:51 PM Artem Evdokimov <artem.evdoki...@gmail.com>
wrote:

> Hello Marco,
>
> First: compare your unit cell parameters with RCSB (there is an option for
> that in the search, very helpful). Give it say 5% error margin.
>
> Worst case scenario - cry a little, having found that your protein is
> something else...
>
> Next, check in depth for space group oddities, twinning, or general data
> misbehavior.
>
> Next, split your helicase into two lobes (if this is the right kind of
> helicase) and do MR with both halves, like it was a complex of two proteins
> (requires a bit of skill with MR - but nothing terrifyingly hard tbh). If
> there are more domains - split into more (RQC, HRDC, etc.)
>
> Hope this helps.
>
> Artem
>
>
>
>
> On Mon, Feb 19, 2024, 5:54 PM Marco Bravo <mbrav...@ucr.edu> wrote:
>
>> Hello all,
>> I recently collected data on some plate crystals for a previously
>> uncharacterized protein at the ALS light source. The XDS auto-data
>> processing log output indicates that my resolution is 2.8 angstroms. The
>> protein is a helicase with homologs already in the protein data bank making
>> it a suitable target for molecular replacement which I thought initially.
>> However after trying molecular replacements with all known homologs in the
>> protein data bank the R values remain high after MR >0.5. After an initial
>> round of Rigid body or restrained refinement. The R values still remain
>> very high at around >.5. I have tried MR with Rosetta and alphaphold models
>> but the problem of high R values persists. The best solution I get is from
>> the CCP4 cloud automatic molecular replacement and model building pipeline
>> which gives me a free R value of 0.46.. However the solution is only for
>> residues ~100-326 out of a 543 amino acid long protein. And even then the
>> model still has a lot of missing residues and truncated sidechains and
>> overall fits the map quite poorly. Does anyone have any suggestions about
>> how I can solve my structure if at all possible at this point? I ran the
>> crystals and pre-crystalized samples on a gel and it appears that the
>> protein remains stable during crystallization as the molecular weight did
>> not change or any degradation does not appear.
>>
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