Urgent.News

What's breaking now, across thousands of outlets.

Tech

80 000 échantillons, des centaines de protéines : pourquoi la VR change la donne pour la biologie structurale (et mon…

80 000 échantillons, des centaines de protéines : pourquoi la VR change la donne pour la biologie structurale (et mon quotidien de dev bioinfo) Quand j'ai vu l'annonce Alamar/Nightingale sur l'analyse NULISA de 80 000 échantillons UK Biobank pour traquer les signatures précoces de neurodégénérescence, ma première réaction a été technique : comment on explore ça à l'échelle atomique sans noyer les…

80,000 samples and hundreds of proteins: the VR revolution in structural biology and bioinformatics workflows

When I first saw the announcement from Alamar/Nightingale about the NULISA analysis of 80,000 samples from the UK Biobank to track early signs of neurodegeneration, my initial technical reaction was: how can we explore this at the atomic level without drowning researchers in terabytes of AlphaFold predictions? The classic answer - PyMOL, ChimeraX, 2D screens, and mouse manipulations - shows its limitations when dealing with allosteric pockets, protein-protein interfaces, or flexible fragment docking.

Enter NexoPeek (Seven Sportz, Meta Quest), a radically different approach: the VR headset transforms into an immersive molecular laboratory. Instead of passive learning, 12 guided tours across six pillars (biotech basics, fundamentals of life, pathways & interactions, drugs in action, genetic technologies, green biotech) turn learning into active exploration. You can walk through hemoglobin to witness oxygen binding, or follow glycolysis step-by-step.

For practitioners like us, the PDB Pro visualizer is the game-changer. It enables intelligent, cross-database research (RCSB, UniProtKB, AlphaFold DB, SWISS-MODEL, PDBe) with synonym resolution via UniProt, local ingestion of multiple file formats (.pdb, .cif, .mol2, .gro, .xyz, .dx, .xtc, .py), electrostatic potential and electron density fields, six preset Mol* visual styles (cartoon, ball-and-stick, spacefill CPK, surface, B-factor heat map, tube rendering), granular chain/residue control with 3D halos, and most importantly, AI-predicted pocket detection (PrankWeb/P2Rank cloud + offline engine), integrated structural alignment via Foldseek, 3D ligand inspector with PubChem, and an angle-distance calculator with a single trigger-pick.

The Room View mode literally floats the structure in your real office, with the menu bar still operable. From the classroom to drug discovery, one device does it all.

Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at dev.to →

More in Tech

Secure Telegram Stars Payment Flow in PHP: sendInvoice pre_checkout_query successful_payment

Architecture Overview A Telegram Stars payment flow has three distinct phases. First, the bot sends an sendInvoice request containing a unique lead identifier and an HMAC-protected initData .

  • Telegram Stars payment flow has three phases: sendInvoice, precheckoutquery, successfulpayment
  • sendInvoice transmits an invoice with a unique lead identifier and HMAC-protected initData string
  • successfulpayment updates invoice status, modifies lead state, notifies user upon successful payment

Say hi to Paperwall, a design tool that fits in one HTML file

I kept needing a quick poster, a slide, an invitation, and kept bouncing off tools that wanted an account, a subscription, or a watermark in the corner. So I built Paperwall. What it does.

  • Paperwall is a single-file design tool
  • No account or subscription needed
  • Runs entirely offline

Building a GPS file converter that never uploads your files

Every online converter for fitness files works the same way: you upload your activity, a server parses it, you download the result. For a GPX track that is a strange deal to accept.

  • GPX Converter processes files entirely in the browser, eliminating uploads
  • FIT to GPX conversion increases file size 5-8 times due to XML formatting
  • GPX Converter offers free, account-free access at gpxconverter.com

Tracking CVE-2026-98625 across Ubuntu kernel variants

Tracking CVE-2026-98625 across Ubuntu kernel variants Why one package row is not enough CVE-2026-98625 affects the Linux netfilter flowtable offload destroy path.

  • CVE-2026-98625 affects Linux netfilter flowtable offload destroy path.
  • Ubuntu kernel variants have different fixed versions for the vulnerability.
  • Fix involves code changes and administrators should verify kernel after installation.

More from Sunday 8 November →