Are there any structural biology (or similiar) discord servers out there?

Natalie

*Dr. Natalie J. Tatum*

Research Associate

Lead Academic in Structural Computational Chemistry

Cancer Research Horizons Newcastle Drug Discovery Unit

Newcastle University


On Wed, 6 Dec 2023 at 19:33, Stéphane Betzi <[email protected]>
wrote:

> Why not give Researchgate a chance?
>
> Best
>
> Stephane Betzi
> PhD
> CNRS researcher
> CRCM, Marseille France
>
>
> Le 6 déc. 2023 19:47, John Gross <
> [email protected]> a écrit :
>
> Below are Bluesky codes for those that want to create an account and
> experiment with that platform.
>
> NB-once a code is used it will no longer work, so forgive me if someone
> takes the code(s) before you can get to it.
>
> I agree with what has been said and am still trying to find the right
> platform as a home.   I’m trying to figure out how to be seen on the
> Mastodon Structural Biology federations, as my account is on the general
> science platform ( mstdn.science.)
>
> John
>
>
> bsky-social-ber35-6cij3
>
> bsky-social-kgctd-yzagy
>
> bsky-social-phtvy-kjkez
>
> bsky-social-hp536-lpgnz
>
>
> bsky-social-vbs7q-zbbyv
>
>
>
> —
> John Gross, Ph.D.
> Professor
> Department of Pharmaceutical Chemistry
> California Institute for Quantitative Biosciences
>
> UCSF, Mission Bay, Genentech Hall
> 600 16th Street
> S-512E, Box 2280
> San Francisco, CA 94143-2280
> UPS/FedEx/DHL use zip code 94107
> Phone: (415) 502-1897
> Fax:      (415) 502-8298
> Email:  [email protected]
> Pronouns: he/him/his
> Administrative Assistant:
> [email protected]
>
> On Dec 5, 2023, at 11:57 PM, Guillaume Gaullier <
> [email protected]> wrote:
>
> Hello,
>
> I can also recommend posting on a Mastodon instance. There is no
> algorithmic promotion of posts or accounts, which means you have to work a
> bit more to find interesting people to follow, but the reward is generally
> nicer, with more genuine interactions (since all the "popularity contest"
> features are either absent or not prominently displayed, like the metrics
> of answers, reposts, stars, etc.).
>
> Speaking of, Dave, did you mean at_fediscience_dot_org for this last
> instance?
>
> Many people seem to have moved to bluesky, but I would not recommend
> posting there if your goal is for your posts to be visible beyond your
> peers in your field: having an account is mandatory to see any content on
> bluesky (without an account, one only sees the login page), and at the
> moment new accounts can only be registered with an invitation from an
> already existing account.
>
> Cheers,
>
> Guillaume
> @[email protected]
>
>
> On 6 Dec 2023, at 08:18, David Briggs <[email protected]> wrote:
>
> Hi all,
>
> I did a little (and entirely unscientific) test on this with one of our
> recent papers.
>
> Views : Linkedin came out on top.
>
> Engagement from other scientists : Mastodon.
>
> X didn't really do much, last I checked.
>
> There is a structural biology community on Mastodon and there are several
> servers (a.k.a instances) that are science themed...
>
> at_struct_dot_bio
> at_mstdn_dot_science
> at_biologists_dot_social
> at_cryoEM_dot_social
> at_qoto_dot_org
> at_fediverse_dot_science
>
> Some suppliers are beginning to appear (e.g. Quantifoil) and there is a
> structural biology Mastodon group ([email protected]) that acts a bit
> like a distribution list.
>
> Hth,
>
> Contact me off list if I can help get you started.
>
> Dave
> @[email protected]
>
> (Apologies if anyone got this twice - the original was pinged back as it
> tripped the spam filter, presumably the list of servers)
>
>
> *Dr David C. Briggs CSci MRSB*
> Principal Laboratory Research Scientist
> Signalling and Structural Biology Lab
> The Francis Crick Institute
> London, UK
> ==
> about.me/david_briggs
> ------------------------------
> *From:* CCP4 bulletin board <[email protected]> on behalf of Marc
> Graille <[email protected]>
> *Sent:* Wednesday, December 6, 2023 6:33:06 AM
> *To:* [email protected] <[email protected]>
> *Subject:* [ccp4bb] Alternatives to X
>
>
> *External Sender:* Use caution.
>
> Dear colleagues,
>
> I take advantage of Tim's message about the fact that responsible people
> have resigned from X.
> I  really enjoyed Twitter (which I discovered rather late) because it was
> a great tool for announcing news from my laboratory, but also for keeping
> abreast of recent publications or pre-publications related to my research
> interests.
> I notice that many scientists have deserted X in recent months.
>
> Can anyone suggest user-friendly alternatives used by the scientific
> communities to announce recent publications or news in their fields?
>
> Best wishes,
>
> Marc
> —
> *Marc GRAILLE, PhD*
> DR1-CNRS
> Laboratoire de Biologie Structurale de la Cellule  (BIOC; Ex-Laboratoire
> de Biochimie)
> UMR7654 du CNRS
>
> Head of the team: “Translation and degradation of eukaryotic mRNAs”
>
> *ÉCOLE POLYTECHNIQUE*
> 91128 PALAISEAU CEDEX
> FRANCE
> 📞: +33 (0)1 69 33 48 90
>
> <email.jpg>
>  : [email protected] /
> Twitter : @GrailleLab <https://twitter.com/GrailleLab>
>
> https://portail.polytechnique.edu/bioc/en/research/coupling-between-translation-and-mrna-degradation-eukaryotes
> —
>
> <Signature-email.png>
>
> Le 2 déc. 2023 à 10:15, Tim Grüne <[email protected]> a écrit :
>
> Hi Mark,
> responsible people are resigning from X.
> Cheers,
> Tim
>
> Am 01.12.2023 23:24, schrieb Mark J. van Raaij:
>
> just came across this critique of that paper on Twitter:
> This exciting paper shows AI design of materials, robotic synthesis.
> 10s of new compounds in 17 days. But did they? This paper has very
> serious problems in materials characterisation. In my view it should
> never have got near publication. Hold on tight let's take a look 😱
> [1]
> Robert Palgrave (@Robert_Palgrave) on X [1]
> twitter.com [1]
> but I'm not enough of an expert to judge - perhaps some
> characterizations were wrong and a lot of the paper does stand.
>
> On 1 Dec 2023, at 20:51, Bryan Lepore <[email protected]> wrote:
> Adding to that literature list a bit outside :
> Merchant, A., Batzner, S., Schoenholz, S.S. _et al._
> Quote:
> "... we show that graph networks trained at scale can reach
> unprecedented levels of generalization, improving the efficiency of
> materials discovery by an order of magnitude. "
> Scaling deep learning for materials discovery.
> _Nature_ (2023), November
> https://doi.org/10.1038/s41586-023-06735-9
>
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> Links:
> ------
> [1] https://twitter.com/Robert_Palgrave/status/1730358675523424344
>
>
> --
> --
> Tim Gruene
> Head of the Centre for X-ray Structure Analysis
> Faculty of Chemistry
> University of Vienna
>
> Phone: +43-1-4277-70202
>
> GPG Key ID = A46BEE1A
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