@psipred

News and server updates for the PSIPRED Protein Analysis Workbench email: psipred-help@cs.ucl.ac.uk

 London, England
bioinf.cs.ucl.ac.uk/psipred/
Joined November 2018
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7Media
Our new paper on fast accurate structural domain segmentation nature.com/articles/s41467-0…

Merizo: a rapid and accurate protein domain segmentation method using invariant point attention

Nature Communications - Proteins contain modular structural and functional units called domains. Here, the authors have developed Merizo, a deep learning method for domain segmentation applicable...

nature.com
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Our latest paper with updates and progress for the PSIPRED workbench is now available academic-oup-com.libproxy.uc…
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We are hiring! Want to come and work on cutting edge Protein-ML and pLLMs? jobs.ac.uk/job/DGC178/resear…
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Just a quick tweet to avoid being expired by twitter's inactive account monitor
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We are delighted to see the amazing progress and support the OpenFold is recieving xitter.cf/MoAlQuraishi/status/15…
Mohammed AlQuraishi
@MoAlQuraishi28 Jun 2022
Building on last week’s announcement of OpenFold, an academic-industry consortium is being announced today within the non-profit @openmsf. The OpenFold Consortium openfold.io will develop open source ML-based molecular modeling tools in a community-driven fashion. 1/3

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xitter.cf/MarmadukeChuffy/status…
F_Zambelli@MarmadukeChuffy26 Nov 2021
Peter Maccallum @ELIXIREurope Chief Technical Officer introducing ELIXIR five technical platforms. @elixir_it @phmaccallum
Come and join the PSIPRED team. We have an exciting postdoc role available atsv7.wcn.co.uk/search_engin…
The PSIPRED web server is back online. Apologies for any inconvenience. We hope users find the very minor tweaks make the site a little more understandable.
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The PSIPRED server is down as we finish some network maintenance. Apologies for any inconvenience.
New Preprint from the group biorxiv.org/content/10.1101/…

Using AlphaFold for Rapid and Accurate Fixed Backbone Protein Design

The prediction of protein structure and the design of novel protein sequences and structures have long been intertwined. The recently released AlphaFold has heralded a new generation of accurate...

biorxiv.org
✨ Our Janet Thornton Fellowship closes soon! ✨ This #postdoc fellowship is open to anyone who has taken a break from scientific research for 12 months or more, for any reason 🔬 📅 Closes 30 Aug Full info ⤵️ #PostDocLife #PostDocJobs #AcademicTwitter sanger.ac.uk/about/equality-…

The Janet Thornton Fellowship

The Janet Thornton Fellowship is a postdoctoral fellowship run by the Wellcome Sanger Institutes part of its commitment to retaining and developing talent. For more than a decade the fellowship has...

sanger.ac.uk
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After the weekend's power outage the PSIPRED server was knocked out by some damaged power hardware. This has now been fixed. Apologies for any inconvenience.
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The PSIPRED server is available once again! Rejoice!
30th of July 2021: The PSIPRED Server is temporarily offline for emergency maintainance
Emergency downtime: The PSIPRED server will be down form the 28th of July to the 29th of July 2021. We apologise for any inconvenience
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Amazing groundbreaking work
EMBL@embl22 Jul 2021
EMBL and @DeepMind have partnered – a breakthrough for science. Together, we're providing a treasure trove of protein structure predictions powered by #AlphaFold to herald a new era for #AI-enabled biology. embl.org/news/science/alphaf…
Protein structures representing the data obtained via AlphaFold.

ALT Protein structures representing the data obtained via AlphaFold.

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Amazing work from both Deep Mind and the EBI xitter.cf/DeepMind/status/141822…
Google DeepMind
@GoogleDeepMind22 Jul 2021
Today with @emblebi, we're launching the #AlphaFold Protein Structure Database, which offers the most complete and accurate picture of the human proteome, doubling humanity’s accumulated knowledge of high-accuracy human protein structures - for free: dpmd.ai/alphafolddb 1/
PSIPRED retweeted
UniProt@uniprot22 Jul 2021
A historic moment in the world of molecular structural research. #AlphaFold structure predictions for 22 species made freely available by @deepmind, access through @uniprot and @PDBeurope. Learn more at insideuniprot.blogspot.com/
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Want to predict a de novo protein structure from a sequence alignment on a CPU in a few seconds? Check out our DMPfold2 pre-print where we achieve this using alignment embedding and end-to-end model generation: biorxiv.org/content/10.1101/…
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