AI model learns yeast DNA 'language' to boost protein drug output

Industrial yeasts are a powerhouse of protein production, used to manufacture vaccines, biopharmaceuticals, and other useful compounds. In a new study, MIT chemical engineers have harnessed artificial ...
Technology Networks

Proteomics Data Analysis and Bioinformatics: Tools, Pipelines, and Best Practices

Discover how proteomics data analysis and bioinformatics tools enhance mass spectrometry workflows for robust findings.
Frontiers

Drug Discovery for Antimicrobial Resistance: From Target Discovery to Combination Design using experimental and AI approaches

Antimicrobial resistance (AMR) is diminishing the effectiveness of existing antibiotics and intensifying the need for discovery pipelines that are both ...
IEEE

ADAM-1: An AI Reasoning and Bioinformatics Model for Alzheimer’s Disease Detection and Microbiome-Clinical Data Integration

Abstract: Alzheimer’s Disease Analysis Model Generation 1 (ADAM-1) is a multi-agent reasoning large language model (LLM) framework designed to integrate and analyze multimodal data, including ...
Frontiers

Omics-Based Insights into Abiotic Stress Responses in Non-Model Plants

The study of abiotic stress responses in non-model plants represents a rapidly emerging field that is vital to expanding the diversity and resilience of ...
GitHub

scHiGex: predicting single-cell gene expression based on single-cell Hi-C data

The code was tested on Python 3.10.4. The conda environment is shared via env/environment.yml, and for dnabert2, the environment is shared via env/environment_dnabert2.yml. The dataset used for ...
C&EN

Brain Metabolomics and Bioinformatics Analysis of a Lipopolysaccharide (LPS)-Induced Acute Inflammation Model Mouse Reveal Region-Specific Metabolic Alterations and Identify ...

Multimodal Informatics and Wide-data Analytics Laboratory, Department of Computational Systems Biology, Faculty of Biology-Oriented Science and Technology, Kindai University, 930 Nishi Mitani, ...
GitHub

Leaderboard: Leveraging Predictive Modeling for Protein-Ligand Insights and Discovery

The repository is the official implementation of the paper: "Leaderboard: Leveraging Predictive Modeling for Protein-Ligand Insights and Discovery", published in the Bioinformatics journal. The paper ...
losalamosreporter

LANL: Advanced Modeling Contributes To Progress In Thwarting HIV In Sweden

The model developed at Los Alamos National Laboratory helps combat HIV by tracking the incidence and prevalence of the disease. Photo Courtesy LANL In a landmark achievement for the fight against HIV, ...