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Hi, good discussion, thanks! Instead of having a series of maps would it make sense to combine all these maps into one composite map, and then refine one atomic model against this composite map, and model variability using alternative conformations (very much like in crystallography)? If that's a possible route then all is needed is a tool to combine the maps and phenix.real_space_refine can already handle models with alternative conformations (can refine occupancies in real space). Pavel On 1/13/22 08:17, Oliver Clarke wrote:
Hi,
Just to add my two cents, I agree this would be really useful for a lot of folks. Analysis of continuously distributed variability is very common these days in cryoEM, and having a way to jointly refine an ensemble of models against a series of maps would be very handy. Cryodrgn, 3D-VA in cryosparc, ManifoldEM, multibody refinement in relion - there are many tools now for generating a series of density maps potentially corresponding to conformational modes, so having the capacity in phenix to refine models against each map would be very helpful.
Cheers Oli
Message: 1 Date: Wed, 12 Jan 2022 10:36:27 +0100 From: vincent Chaptal
To: Guillaume Gaullier , Pavel Afonine Cc: PHENIX user mailing list Subject: Re: [phenixbb] refinement of an ensemble of structures -> cryoEM variability Message-ID: Content-Type: text/plain; charset="utf-8"; Format="flowed" Hi Guillaume,
thanks for the backup. It's exactly my feeling also.
Best Vincent
Le 12/01/2022 ? 10:09, Guillaume Gaullier a ?crit?:
Hi,
I am guessing what we are talking about here are the maps generated by cryoSPARC 3D variability analysis. See: Punjani A & Fleet DJ (2021) 3D Variability Analysis: Resolving continuous flexibility and discrete heterogeneity from single particle cryo-EM.?Journal of Structural Biology: 107702 https://doi.org/10.1016/j.jsb.2021.107702
But this is not the only program that generates series of maps to describe continuous heterogeneity from single-particle cryoEM images, see also cryoDRGN:?Zhong ED, Bepler T, Berger B & Davis JH (2021) CryoDRGN: reconstruction of heterogeneous cryo-EM structures using neural networks.?Nature Methods: 1?10 https://doi.org/10.1038/s41592-020-01049-4
Except some ideally rigid particles like apoferritin, pretty much everything shows some degree of flexibility that generates continuous heterogeneity in cryoEM images. So, my feeling is that a user-friendly program to fit a series of models (ideally, auto-generated from a single starting model) to a map series is probably going to be a standard requirement pretty soon for typical single-particle cryoEM projects.
Cheers,
Guillaume
On 11 Jan 2022, at 17:16, Pavel Afonine
wrote: Hi Vincent,
this looks like a very specialized task that I've never heard of before! We can add a tool to do that if this becomes something that more than one person does more than once. Meanwhile, a simple script in a language of your?preference (python, linux shell, etc) should do the job. I can help with a script if needed, let me know!
Also.. just curious -- what is "3D variability of this map"? Is this one map that is a composition of several map or an ensemble of maps?
Pavel
On 1/11/22 01:48, vincent Chaptal wrote:
Hi Phenix-ers,
I thought to ask for something that I believe you have already implemented, but I'm not sure of the best tool to use.
I have a cryoEM map where I refine my "high resolution" structure. I also have the 3D variability of this map that shows?several maps varying around the consensus high-res map. I want to refine an ensemble (20) of structures, one for every 20?maps around the consensus map. Is there a tool in phenix to do this?
I could refine individually the high-res structure into each map incrementally; since every map differs a little from the?original one, Real-space-refinement could move the structure a little at a time. Then I could combine all the PDBs in an?ensemble? A tool to refine variability would be very useful. Input could be a PDB and an ensemble of maps, and output would be all the?PDBs combined?
Thank you.
All the best Vincent
-- Vincent Chaptal, PhD Director of GdR APPICOM Drug Resistance and Membrane Proteins Lab
MMSB -UMR5086 7 passage du Vercors 69007 LYON FRANCE +33 4 37 65 29 01 http://www.appicom.cnrs.fr http://mmsb.cnrs.fr/en/
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