Opened 5 years ago
Last modified 5 years ago
#3141 assigned enhancement
Measure fit of residue in map
| Reported by: | Owned by: | Tom Goddard | |
|---|---|---|---|
| Priority: | moderate | Milestone: | |
| Component: | Volume Data | Version: | |
| Keywords: | Cc: | ||
| Blocked By: | Blocking: | ||
| Notify when closed: | Platform: | all | |
| Project: | ChimeraX |
Description
Begin forwarded message:
From: Tristan Croll
Subject: Re: ISOLDE and ChimeraX plan for the future
Date: May 4, 2020 at 3:24:17 PM PDT
To: Tom Goddard
Hi Tom,
...
I can also think of a few map-related tools that would be useful. One that would be *really* helpful is a local fit-to-density measure, to flag residues that aren't currently well fitted to the map. Various approaches to that, of course - one of which would be to rejuvenate/reincarnate the old TEMPy plugin. I had a chat to Maya about this last year - she's all for it, but the person who wrote the original has long since moved on, and she doesn't currently have the resources to pick it back up.
...
Change History (3)
comment:1 by , 5 years ago
follow-up: 2 comment:2 by , 5 years ago
This is indeed a somewhat difficult problem - which the official wwPDB cryo-EM validation report currently suffers badly from. It just takes the author-recommended contour level, then reports on the number of atoms outside that contour (and number of residues with >50% of atoms outside). It's a terrible metric that (amongst other things) causes problems with reviewers: for a typical cryo-EM map with some well-resolved regions and some poor, picking a contour that's right for the good regions leaves a lot of the poorly-resolved residues outside, and a naive reviewer will then decide this means the model must be crap. I understand this is a fairly active area of research. I saw a talk online from last week's CCP-EM Spring Symposium from Ardan Patwardhan (https://www.ebi.ac.uk/about/people/ardan-patwardhan) describing what he called a "STRUDEL score" - if I understood correctly, checking the correlation of real-world examples of residue density at similar resolution to the density around each model in the actual residue, which made the sequence error in the SARS-CoV2 RNA polymerase stick out like a sore thumb. He said in his talk that there's a ChimeraX plugin for this ready to go - have you heard anything about it? More generally, a good approach would probably be to weight any such scoring system against a local-resolution estimation (another thing that would be nice to have, come to think of it - will raise another ticket). On 2020-05-05 00:57, ChimeraX wrote:
follow-up: 3 comment:3 by , 5 years ago
It does seem like a local resolution calculation would help in deciding if a residue fit is poor. Ticket #3144 is about adding local resolution calculation.
The hard part of this is how to make it usable. There may be 25% of residues in poorly resolved cryoEM density that would all be flagged as poor fits. I guess the dream is some tool that says this residue fit looks much worse than expected for this local density resolution and signal to noise.