🎉 Huge congrats to the OpenFold Consortium on releasing the latest OpenFold3 model checkpoint! ⚡️Scale your discoveries instantly. We’re thrilled to release this new checkpoint as an optimized NVIDIA NIM microservice, delivering an average 1.53x speedup for predictions on

AF2BIND: a logistic regression model that predicts small-molecule binding site residues in proteins. https://t.co/vPx1GOz6Km

NetMD is a computational framework that synchronizes and analyzes MD trajectories by integrating graph-based representations with dynamic time warping. Check it out at: https://t.co/4jJrr7eeSN GitHub: https://t.co/7Iwn1eHCl3 #bioinformatics #structuralbiology #simulation

New preprint out: nAPOGEE, a machine-learning platform for clinically actionable pathogenicity prediction of #mitochondrial #noncoding variants. Using interpretable models, we improve how noncoding #mtDNA changes are assessed for clinical relevance.

What's new in mitochondrial genetics? MitoPhen v2 characterizes phenotypes in primary mitochondrial diseases and expands disease-gene relationships https://t.co/uJq1a2Akp4

See you at the Microbiome Throughout Life 2026 Conference! The call for abstracts is open! Don’t miss the chance to showcase your work on the main stage! 📅 SUBMIT YOUR ABSTRACT BY NOVEMBER 3, 2025 👉

XIX Congress of the Italian Proteomics Association (ItPA), organized in collaboration with the Serbian Proteomics Association (SePA) and the Hellenic Proteomics Society (HPS)- Rome , 3rd – 5th December 2025

Presenting my talk "Decoding the Non-Coding: Clinical-Grade Prediction of Pathogenic Variants in Mitochondrial tRNAs and rRNAs with nAPOGEE" at SIGU2025 in Rimini. #SIGU2025 #Bioinformatics #MitochondrialGenomics #AIinGenetics #nAPOGEE #PoliclinicoGemelli

NeuralTSNE: A Python Package for the Dimensionality Reduction of Molecular Dynamics Data Using Neural Networks #MolecularDynamics #DeepLearning https://t.co/VQbx0fqcze @JakubRydzewski #JCIM Vol65 Issue14 #ApplicationNote

Ready our preprint: NetMD: Unsupervised Synchronization of Molecular Dynamics Trajectories via Graph Embedding and Time Warping https://t.co/BJy4ohveUf #moleculardynamics #structuralbiology #Bioinformatics #fpg #netmd #graph #embedding

New fastest shortest-path algorithm in 41 years! Tsinghua researchers broke Dijkstra’s 1984 “sorting barrier,” achieving O(m log^(2/3) n) time. This means faster route planning, less traffic, cheaper deliveries, and more efficient networks - and a CS curriculum revamp =)

MD-LLM-1: A Large Language Model for Molecular Dynamics 1. Researchers have developed MD-LLM-1, a novel framework that leverages large language models (LLMs) to simulate molecular dynamics. This approach enables the prediction of protein conformational states not seen during

Towards universal modeling of transcript isoform expression levels https://t.co/eK245WDeTM #biorxiv_bioinfo

Tommaso Mazza presents nAPOGEE: a new tool to predict the pathogenicity of non-coding mtDNA variants in tRNAs and rRNAs her at #BITS2025 @irongraft

Excited to unveil Boltz-2, our new model capable not only of predicting structures but also binding affinities! Boltz-2 is the first AI model to approach the performance of FEP simulations while being more than 1000x faster! All open-sourced under MIT license! A thread… 🤗🚀

We are pleased to announce the release of the MITOMAP track for hg38/hg19. MITOMAP is a human mitochondrial genome database. This release includes the MITOMAP Control and Coding Variants track & the MITOMAP Disease Mutations track. Learn more at https://t.co/zcDDaYyJsd.

PUBMED is down. disaster !! We don’t have the organization to replace it. (EuroPMC is great but not a replacement) It is crystal clear that we cannot depend on critical systems from a single provider. European reaction has to include science and science infrastructures.

Topological embedding and directional feature importance in ensemble classifiers for multi-class classification. Read the article here: https://t.co/f9ILlwhTOq

RNA-protein interaction prediction without high-throughput data: An overview and benchmark of in silico tools. Read the article here: https://t.co/Sy3qKHXo0W

Another year of fun and successes behind us. Here's to a #newyear with new exciting #challenges and joyful #moments. #HappyNewYear #Bioinformatics #research