Neeladri Sen

Postdoctoral Researcher @CATH_Gene3D @UCL, MS-PhD @IISERPune, BSc @SXC_Kol
Bioinformatics, Structural & Computational Biology
Foodie and bit by the travel bug

[Neeladri Sen @NeeladriSen]

@westcamhub @theUL @CamPostdocs @CamPhilSoc Which room is the event?

[Gonzalo Parra @GonzaParra_]

Can it be better? Happy to have all these people together! ⭐️

[3DSIG @3DSIG_ISCB]

1 month away from this @ELIXIREurope 3DBioinfo / @3DSIG_ISCB @iscb joint conference that will bring referents from the fields of Structural Bioinformatics and Computational Biology from all Europe to Barcelona!

Maximum 160 attendees! secure your spot!
https://t.co/f4FRH8moXe

[3DSIG @3DSIG_ISCB]

Check the recording from our latest webinar about Structural Bioinformatics and Protein Enzymes:
https://t.co/7AMSxduCOl

[Neeladri Sen @NeeladriSen]

@3DSIG_ISCB @GonzaParra_ @iscb @iscbsc @ELIXIREurope Please do register for the webinar.

[3DSIG @3DSIG_ISCB]

We are very happy to have @DECTRIS_News as a sponsor to our @iscb 3DSig/ @ELIXIREurope 3DBioinfo conference in March 19-21, in Barcelona!!!
https://t.co/U1PQczv64Z
Have you registered yet?
https://t.co/f4FRH8moXe

[ELIXIR Europe @ELIXIREurope]

The next 3D-BioInfo webinar 💻 focuses on the topic of #enzymes:
🔵 Large-scale annotation and tunnels in cognate enzyme–ligand complexes
🔵 A structure-based approach to identify non-amino acidic ligands of DDAH-1

More information and registration 👉 https://t.co/hkHOEcyc2u

[3DSIG @3DSIG_ISCB]

As we wait until our next webinar, we share with all of you the latest event where Prof. David Jones (UCL) talked about their latest work: "Exploring structural diversity across the protein universe with The Encyclopaedia of Domains"

https://t.co/sOONCMIabT

[3DSIG @3DSIG_ISCB]

New event announced! This time a full webinar on enzymes! Do not miss it! Register in the link!
February 18th 4pm UK time/ 5 pm CET.

https://t.co/iuyKX06E81
Check details about our two speakers below!

Organisers: @NeeladriSen, @GonzaParra_, Vincent Zoete

[GlobalBiodata @globalbiodata]

Our featured GCBR of the week is CATH, a free, publicly available online resource that provides information on the evolutionary relationships of protein domains. Click the link to find out more https://t.co/FkiP8bD4Is
@UKRI_News @wellcometrust

[3DSIG @3DSIG_ISCB]

Last week to submit your abstracts and make use of the early bird registration to the 3DSig/3DBioinfo conference in Barcelona (March 19-21)!

[3DSIG @3DSIG_ISCB]

We are excited to announce the 1st webinar from this year on January 20th! This time we will have a full lecture by Prof. David Jones from @ucl presenting their recent publication in @ScienceMagazine: https://t.co/KH8b9m6XU8

Register here: https://t.co/oYob9bKEwE

[ELIXIR Europe @ELIXIREurope]

🙌 The #ELIXIR3DBioInfoCommunity meeting will take place in March 2025 as part of a joint event with @3DSIG_ISCB.
The meeting will bring together 🤝 #structuralbioinformatics researchers to exchange ideas on the workflows and resources needed.

More info: https://t.co/57LOXbL3P6

[Gonzalo Parra @GonzaParra_]

Abstracts Deadline: January 20th!!! Do not miss the change to present at this great meeting!

[Biology+AI Daily @BiologyAIDaily]

CATH v4.4: Major Expansion of CATH by Experimental and Predicted Structural Data @NAR_Open

1. CATH v4.4 marks a significant update, expanding its database to include over 90 million protein domains from both experimental (PDB) and predicted (AlphaFold Database) sources.

2. This release introduces 729 new fold groups and 36 new architectural categories, leveraging cutting-edge tools like AlphaFold2 and advanced segmentation algorithms such as Chainsaw, Merizo, and UniDoc.

3. Key innovation: Integration of predicted domains from the Encyclopedia of Domains (TED) resource has quadrupled the structural coverage of functional families (FunFams), enhancing functional annotation.

4. TED data added 90 million domains, including novel folds and architectures, significantly increasing the number of classified CATH superfamilies, folds, and architectures.

5. Enhanced machine learning tools like CATHe and structure-matching methods (e.g., Foldseek) were used to validate domain classifications, ensuring robust mapping of predicted domains to known protein families.

6. CATH FunFams now include over 96 million domain relatives (a 276% increase) with structural data, improving the understanding of functional divergence within superfamilies.

7. The collaboration between Gene3D and TED resources enriches the mapping of evolutionary relationships and facilitates studies on protein structure-function relationships.

8. With its expanded scope, CATH v4.4 supports large-scale analyses of protein mechanisms, drug design, and evolutionary biology, consolidating its role as a core bioinformatics resource.

@ChristineOrengo @iansillitoe @_judewells @ShaunKandathil @nicolabordin @CATH_Gene3D
📜Paper: https://t.co/W4h0s3PQFU

#ProteinStructure #Bioinformatics #AlphaFold #CATH #StructuralBiology

[Rishikesh Narayanan @cnl_mbu_iisc]

Proteins: Structure, Function, and Bioinformatics

Vol 93 (1): Jan 2025

Check out the several research articles & reviews in this special issue commemorating GN Ramachandran Centenary @MBU_IISc, edited by Raghavan Varadarajan, George Rose, Chandra Verma
https://t.co/tKGb9UjSm8

[ELIXIR Europe @ELIXIREurope]

🙌 The #ELIXIR3DBioInfoCommunity meeting will take place in March 2025 as part of a joint event with @3DSIG_ISCB.
The meeting will bring together 🤝 #structuralbioinformatics researchers to exchange ideas on the workflows and resources needed.

More info: https://t.co/woaAjr9579

[Neeladri Sen @NeeladriSen]

@GonzaParra_ @RolandDunbrack @3DSIG_ISCB @ELIXIREurope It's ok on a laptop. I checked on a laptop