Closed lgsmith closed 2 years ago
Hi Team Loos, Currently Plumed supports calling analysis packages such as MDAnalysis or MDtraj to design collective variables. One can call MDAnalysis as follows:
MOLINFO STRUCTURE=helix.pdb PYTHON_BIN=python
g1: GROUP ATOMS=@mda:backbone
replace @mda with @mdt for MDTraj
Two advantages of having a python wrapper for Plumed are: 1) on-the fly tracking of CVs during MD or enhanced sampling 2) ability to design complex collective variables which then can be used for different enhanced sampling algorithms.
Keeping in mind bigger community base of Plumed, popularity within enhanced sampling community and availability of several reweighting, analysis & enhanced sampling protocols, I believe a Loos integration with Plumed will be give both users a lot of flexibility.
In my experience loos does a lot of great job specially in terms of standard post-dynamics analysis but specially in case of membrane proteins. I think at this stage a Loos wrapper for Plumed is a natural choice which will bring a lot of synergy. Will be happy to discuss with Team Loos :)
I apologize for responding so slowly – it’s a crazy busy time for me.
I like the idea, but I won’t be able to touch it for a month or two at least.
Dr. Alan Grossfield Dept of Biochemistry and Biophysics University of Rochester Medical Center Phone: 585 276 4193 http://membrane.urmc.rochester.edu https://orcid.org/0000-0002-5877-2789 Pronouns: He/his
From: sbhakat @.> Reply-To: GrossfieldLab/loos @.> Date: Saturday, February 5, 2022 at 10:08 AM To: GrossfieldLab/loos @.> Cc: Subscribed @.> Subject: [EXT] Re: [GrossfieldLab/loos] integration with PLUMED (Issue #73)
Hi Team Loos, Currently Plumed supports calling analysis packages such as MDAnalysis or MDtraj to design collective variables. One can call MDAnalysis as follows:
MOLINFO STRUCTURE=helix.pdb PYTHON_BIN=python
g1: GROUP @.***:backbone
replace @mdahttps://urldefense.proofpoint.com/v2/url?u=https-3A__github.com_mda&d=DwMCaQ&c=4sF48jRmVAe_CH-k9mXYXEGfSnM3bY53YSKuLUQRxhA&r=49qnaP-kgQR_zujl5kbj_PmvQeXyz1NAoiLoIzsc27zuRX32UDM2oX8NQCaAsZzH&m=SoriBZrAHCg5JZNTl3ZjQrA8q73fRtPNT3aVibzyzuU&s=pMEtMfd0RIDSvGMf921R7haKhuI500p2KxtKwRcvMd4&e= with @mdthttps://urldefense.proofpoint.com/v2/url?u=https-3A__github.com_mdt&d=DwMCaQ&c=4sF48jRmVAe_CH-k9mXYXEGfSnM3bY53YSKuLUQRxhA&r=49qnaP-kgQR_zujl5kbj_PmvQeXyz1NAoiLoIzsc27zuRX32UDM2oX8NQCaAsZzH&m=SoriBZrAHCg5JZNTl3ZjQrA8q73fRtPNT3aVibzyzuU&s=Jvt0jc5HRHeQ0F2PKFJLYb605TFk3sfCvAuvuEhJ68E&e= for MDTraj
Two advantages of having a python wrapper for Plumed are: 1) on-the fly tracking of CVs during MD or enhanced sampling 2) ability to design complex collective variables which then can be used for different enhanced sampling algorithms.
Keeping in mind bigger community base of Plumed, popularity within enhanced sampling community and availability of several reweighting, analysis & enhanced sampling protocols, I believe a Loos integration with Plumed will be give both users a lot of flexibility.
In my experience loos does a lot of great job specially in terms of standard post-dynamics analysis but specially in case of membrane proteins. I think at this age a Loos integration with Plumed is a natural choice which will bring a lot of synergy. Will be happy to discuss with Team Loos :)
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Sorry -- not sure why I'm on this email. Perhaps you've got the wrong Marc Tanner?
On Mon, Feb 14, 2022 at 8:18 PM Grossfield Lab @.***> wrote:
I apologize for responding so slowly – it’s a crazy busy time for me.
I like the idea, but I won’t be able to touch it for a month or two at least.
Dr. Alan Grossfield Dept of Biochemistry and Biophysics University of Rochester Medical Center Phone: 585 276 4193 http://membrane.urmc.rochester.edu https://orcid.org/0000-0002-5877-2789 Pronouns: He/his
From: sbhakat @.> Reply-To: GrossfieldLab/loos @.> Date: Saturday, February 5, 2022 at 10:08 AM To: GrossfieldLab/loos @.> Cc: Subscribed @.> Subject: [EXT] Re: [GrossfieldLab/loos] integration with PLUMED (Issue
73)
Hi Team Loos, Currently Plumed supports calling analysis packages such as MDAnalysis or MDtraj to design collective variables. One can call MDAnalysis as follows:
MOLINFO STRUCTURE=helix.pdb PYTHON_BIN=python
g1: GROUP @.***:backbone
replace @mda< https://urldefense.proofpoint.com/v2/url?u=https-3A__github.com_mda&d=DwMCaQ&c=4sF48jRmVAe_CH-k9mXYXEGfSnM3bY53YSKuLUQRxhA&r=49qnaP-kgQR_zujl5kbj_PmvQeXyz1NAoiLoIzsc27zuRX32UDM2oX8NQCaAsZzH&m=SoriBZrAHCg5JZNTl3ZjQrA8q73fRtPNT3aVibzyzuU&s=pMEtMfd0RIDSvGMf921R7haKhuI500p2KxtKwRcvMd4&e=> with @mdt< https://urldefense.proofpoint.com/v2/url?u=https-3A__github.com_mdt&d=DwMCaQ&c=4sF48jRmVAe_CH-k9mXYXEGfSnM3bY53YSKuLUQRxhA&r=49qnaP-kgQR_zujl5kbj_PmvQeXyz1NAoiLoIzsc27zuRX32UDM2oX8NQCaAsZzH&m=SoriBZrAHCg5JZNTl3ZjQrA8q73fRtPNT3aVibzyzuU&s=Jvt0jc5HRHeQ0F2PKFJLYb605TFk3sfCvAuvuEhJ68E&e=> for MDTraj
Two advantages of having a python wrapper for Plumed are: 1) on-the fly tracking of CVs during MD or enhanced sampling 2) ability to design complex collective variables which then can be used for different enhanced sampling algorithms.
Keeping in mind bigger community base of Plumed, popularity within enhanced sampling community and availability of several reweighting, analysis & enhanced sampling protocols, I believe a Loos integration with Plumed will be give both users a lot of flexibility.
In my experience loos does a lot of great job specially in terms of standard post-dynamics analysis but specially in case of membrane proteins. I think at this age a Loos integration with Plumed is a natural choice which will bring a lot of synergy. Will be happy to discuss with Team Loos :)
— Reply to this email directly, view it on GitHub< https://urldefense.proofpoint.com/v2/url?u=https-3A__github.com_GrossfieldLab_loos_issues_73-23issuecomment-2D1030641364&d=DwMCaQ&c=4sF48jRmVAe_CH-k9mXYXEGfSnM3bY53YSKuLUQRxhA&r=49qnaP-kgQR_zujl5kbj_PmvQeXyz1NAoiLoIzsc27zuRX32UDM2oX8NQCaAsZzH&m=SoriBZrAHCg5JZNTl3ZjQrA8q73fRtPNT3aVibzyzuU&s=XpNzaeehyOz_wuGEMOedZn1O-nl4mEKgpFBkfCWZLEw&e=>, or unsubscribe< https://urldefense.proofpoint.com/v2/url?u=https-3A__github.com_notifications_unsubscribe-2Dauth_ADH754QBQMNN5IGJOFAWLBTUZU4NVANCNFSM5NQUQ64Q&d=DwMCaQ&c=4sF48jRmVAe_CH-k9mXYXEGfSnM3bY53YSKuLUQRxhA&r=49qnaP-kgQR_zujl5kbj_PmvQeXyz1NAoiLoIzsc27zuRX32UDM2oX8NQCaAsZzH&m=SoriBZrAHCg5JZNTl3ZjQrA8q73fRtPNT3aVibzyzuU&s=kCCLQ6MeOI0SBMMD6eLJAGd40YUdasCsma0MIociPHI&e=>.
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Hello! Why don't we have a call and discuss possible PLUMED/LOOS integrations? @GiovanniBussi
Hi all! I am not sure what's the purpose of the integration. PLUMED is primarily used for enhanced sampling, so we might be interested in collective variables computed in LOOS mostly if their derivatives are computed as well. On the other hand, if you want to compute PLUMED collective variables from LOOS, you can use its stable API (C++, or Python if you prefer). Here there's a lot of space for imagination, so perhaps a call could be useful.
You mentioned mdtraj and MDAnalysis: we currently only use those tools for atom selection that are done statically at the beginning of the simulation. If you think LOOS atom selection has some advantage it would be easy to add it (performance is not so critical, since it is done once).
The part of PLUMED managing the calls to mdtraj/MDAnalsys is not particularly modular or extensible, but the code is trivial so I guess you could just add a few lines to this file. This is a script that basically:
Enabling @loos:backbone
-like selections should be straightforward, and I would be happy to review a PR in this sense.
I’ll take a look at that. The generality of loos’ selection language is one of its strengths, so it could be a worthy integration.
The other general strength is that it’s easy to quickly write custom analysis code, so it definitely could be useful for supplying collective variables and derivatives. I’ll try to look at what exists for mdanalysis next week so I know what I’d need to supply.
Dr. Alan Grossfield Department of Biochemistry and Biophysics University of Rochester Medical Center
On Feb 25, 2022, at 4:32 AM, Giovanni @.***> wrote:
Hi all! I am not sure what's the purpose of the integration. PLUMED is primarily used for enhanced sampling, so we might be interested in collective variables computed in LOOS mostly if their derivatives are computed as well. On the other hand, if you want to compute PLUMED collective variables from LOOS, you can use its stable API (C++, or Python if you prefer). Here there's a lot of space for imagination, so perhaps a call could be useful.
You mentioned mdtraj and MDAnalysis: we currently only use those tools for atom selection that are done statically at the beginning of the simulation. If you think LOOS atom selection has some advantage it would be easy to add it (performance is not so critical, since it is done once).
The part of PLUMED managing the calls to mdtraj/MDAnalsys is not particularly modular or extensible, but the code is trivial so I guess you could just add a few lines to this filehttps://urldefense.proofpoint.com/v2/url?u=https-3A__github.com_plumed_plumed2_blob_master_scripts_selector.sh&d=DwMCaQ&c=4sF48jRmVAe_CH-k9mXYXEGfSnM3bY53YSKuLUQRxhA&r=49qnaP-kgQR_zujl5kbj_PmvQeXyz1NAoiLoIzsc27zuRX32UDM2oX8NQCaAsZzH&m=H4ce9NKH1xoDiqjP8Qa3SeU8FuUj_L1d_itHt1GaZXc&s=vKRxQJPzsU7nHd4DLQR06sSMk0k8keYWUTomMOYZuUs&e=. This is a script that basically:
Enabling @loos:backbone-like selections should be straightforward, and I would be happy to review a PR in this sense.
— Reply to this email directly, view it on GitHubhttps://urldefense.proofpoint.com/v2/url?u=https-3A__github.com_GrossfieldLab_loos_issues_73-23issuecomment-2D1050687879&d=DwMCaQ&c=4sF48jRmVAe_CH-k9mXYXEGfSnM3bY53YSKuLUQRxhA&r=49qnaP-kgQR_zujl5kbj_PmvQeXyz1NAoiLoIzsc27zuRX32UDM2oX8NQCaAsZzH&m=H4ce9NKH1xoDiqjP8Qa3SeU8FuUj_L1d_itHt1GaZXc&s=Tde-S3nDPTY2JEDYhem8LiE_UkY__RBglgPBXX_uf1g&e=, or unsubscribehttps://urldefense.proofpoint.com/v2/url?u=https-3A__github.com_notifications_unsubscribe-2Dauth_ADH754WHM6ZKK6VNW5UTDPTU45EDBANCNFSM5NQUQ64Q&d=DwMCaQ&c=4sF48jRmVAe_CH-k9mXYXEGfSnM3bY53YSKuLUQRxhA&r=49qnaP-kgQR_zujl5kbj_PmvQeXyz1NAoiLoIzsc27zuRX32UDM2oX8NQCaAsZzH&m=H4ce9NKH1xoDiqjP8Qa3SeU8FuUj_L1d_itHt1GaZXc&s=Hj_o7piuCwP1VIxsupmEqYGXvo-MJtNi8tIjj3L0J60&e=. Triage notifications on the go with GitHub Mobile for iOShttps://urldefense.proofpoint.com/v2/url?u=https-3A__apps.apple.com_app_apple-2Dstore_id1477376905-3Fct-3Dnotification-2Demail-26mt-3D8-26pt-3D524675&d=DwMCaQ&c=4sF48jRmVAe_CH-k9mXYXEGfSnM3bY53YSKuLUQRxhA&r=49qnaP-kgQR_zujl5kbj_PmvQeXyz1NAoiLoIzsc27zuRX32UDM2oX8NQCaAsZzH&m=H4ce9NKH1xoDiqjP8Qa3SeU8FuUj_L1d_itHt1GaZXc&s=85GnpRU1s8-SsHeRyUfrjIZ7U72RFS1cKCP-YZgeeTc&e= or Androidhttps://urldefense.proofpoint.com/v2/url?u=https-3A__play.google.com_store_apps_details-3Fid-3Dcom.github.android-26referrer-3Dutm-5Fcampaign-253Dnotification-2Demail-2526utm-5Fmedium-253Demail-2526utm-5Fsource-253Dgithub&d=DwMCaQ&c=4sF48jRmVAe_CH-k9mXYXEGfSnM3bY53YSKuLUQRxhA&r=49qnaP-kgQR_zujl5kbj_PmvQeXyz1NAoiLoIzsc27zuRX32UDM2oX8NQCaAsZzH&m=H4ce9NKH1xoDiqjP8Qa3SeU8FuUj_L1d_itHt1GaZXc&s=TeT8ZzSGHu8XSZefyXI-S8z_BnoOVOAOlJAQoU_Inlk&e=. You are receiving this because you commented.Message ID: @.***>
Is your feature request related to a problem? Please describe. Not so much a problem as an expansion. Right now PLUMED often is used to perform analysis, and often it does this by calling tools or functions from within other analysis packages like MDAnalysis and MDTraj. It would be nice for loos to be an option for these users, as it would increase our user base and it would potentially be more performant than the alternatives. It's especially worthwhile if we can be included in some of PLUMED's extensive documentation, as many simulators come up referring to those docs.
Describe the solution you'd like Since I'm not a plumed user myself, I'm kind of the wrong guy to write this. Hoping other users who are more involved with PLUMED can add some detail here, but basically plumed script uses prefixes to indicate which surrogate library it ought to use, and what functionality should be called within that. It looks like a python wrapper.
Describe alternatives you've considered I just want LOOS everywhere I go. Is that too much to ask?
Additional context I got this suggestion from a fellow postdoc from the Bowman group, @sbhakat. I'll encourage him to comment on this to see if he has something more specific to request.