Take Nature’s quiz on female Nobel laureates in physics, chemistry or physiology or medicine.

New EMBL-EBI repository helps researchers share and reuse machine learning models trained on life science data.

YouTube video by FEMS Microbiology

World Sepsis Day 2025: Sepsis is a silent infection that takes 400,000 newborn lives every year. Weak immunity, delayed treatment, and drug resistance make it harder to save babies.

In Virtual Lab project, CZ Biohub San Francisco researchers and collaborators assemble team of interdisciplinary AI agents that can solve complex research questions

Introducing a new, unifying DNA sequence model that advances regulatory variant-effect prediction and promises to shed new light on genome function — now available via API.

Protein–protein interactions specific to 11 individual tissues are presented in a comprehensive resource.

Urinary tract infections (UTIs) are one of the most common infections, with a subgroup of these infections, catheter-associated UTIs (CAUTIs), accounting for 40% of nosocomial infections. While the ma...

Background Salmonella enterica subspecies enterica serovar Typhi (abbreviated as ‘Typhi’) is the bacterial agent of typhoid fever. Effective antimicrobial therapy reduces complications and mortality; ...

Computer scientists and bioinformaticians address four key questions to help rookie coders to make the right choice.

In honor of the 100th birthday of Margaret Dayhoff, we spotlight her footprint in the field of bioinformatics.

The growing threat of multidrug-resistant Klebsiella pneumoniae, coupled with its role in gut colonisation, has intensified the search for new treatments, including bacteriophage therapy. Despite incr...

Computer simulations highlight how bacteria slow their growth to avoid overcrowding, a behavior that may inform pathogen control.

Generative AI based on RFdiffusion designs cyclic peptides with atomic accuracy.

A bank of cells from people more than 100 years old gives scientists a new resource for studying longevity.

Molecular Dynamics (MD) simulations provide accurate descriptions of the motions of molecular systems, yet their computational demands pose significant challenges in applications in molecular biology ...

Computational toolkits for data exploration and visualization from widely used omics platforms often

Official repository for the Boltz-1 biomolecular interaction model - jwohlwend/boltz

Summary: We present NetworkCommons, a platform for integrating prior knowledge, omics data, and network inference methods, facilitating their usage and evaluation. NetworkCommons aims to be an infrast...

Abstract. The aim of the UniProt Knowledgebase (UniProtKB; https://www.uniprot.org/) is to provide users with a comprehensive, high-quality and freely acce

Since its inception over 20 years ago, gene enrichment has been largely associated with curated gene lists (e.g. GO) that are constructed to represent various biological concepts; the cell cycle, canc...

Microbes are omnipresent, thriving in a range of habitats from oceans to soils and even within our gastrointestinal tracts. They play a vital role in maintaining ecological equilibrium and promoting t...

Abstract. By processing and abstracting diverse omics datasets into associations between genes and their attributes, the Harmonizome database enables resea

Protein sequence similarity search is fundamental to genomics research, but current methods are typically not able to consider crucial genomic context information that can be indicative of protein fun...

In recent years, advances in cell segmentation techniques have played a critical role in the analysi

Abstract. A wealth of high-throughput biological data, of which omics constitute a significant fraction, has been made publicly available in repositories o

Biomedical research and clinical practice are in the midst of a transition toward significantly increased use of artificial intelligence (AI) and machine learning (ML) methods. These advances promise ...

Understanding biomolecular interactions is fundamental to advancing fields like drug discovery and protein design. In this paper, we introduce Boltz-1, an open-source deep learning model incorporating...

Abstract. The aim of the UniProt Knowledgebase (UniProtKB; https://www.uniprot.org/) is to provide users with a comprehensive, high-quality and freely acce

BioNeMo Framework: For building and adapting AI models in drug discovery at scale - NVIDIA/bionemo-framework

AbstractSummary. APAtizer is a tool designed to analyze alternative polyadenylation events on RNA-sequencing data. The tool handles different file formats,