AI4Science News
Industry updates, funding rounds, and notable releases
Auto-updated from RSS feeds · Last sync: 5/30/2026
Google DeepMind releases AlphaFold 3 for academic use
AlphaFold 3 model weights now available for academic research, expanding access beyond the AlphaFold Server.
NVIDIA launches BioNeMo 2.0 with new foundation models
Updated platform includes ESM-2, MegaMolBART, and new tools for molecular generation and optimization.
OpenAI partners with Moderna on mRNA design
ChatGPT Enterprise deployed for vaccine development workflows, marking major pharma AI partnership.
Chai Discovery raises $30M to challenge AlphaFold
Startup launches with open model claiming competitive performance on drug-target prediction benchmarks.
Schrödinger reports positive Phase 2 results for AI-designed drug
SGR-1505 shows promising efficacy in B-cell malignancies, validating computational drug design approach.
Recursion acquires Exscientia in $688M all-stock deal
Major consolidation in AI drug discovery as Recursion absorbs Exscientia, combining their platforms and pipelines.
Computational Structure Modeling, Functional Characterization, and Identification of Potential Inhibitors for the cyclic-di-GMP Mediated Biofilm Forming Membrane Protein in Vibrio cholerae
Cholera, caused by Vibrio cholerae, continues to pose a serious global public health challenge, with its impact worsened by rising antibiotic resistance associated with bacterial biofilm formation....
ModCRE-NN: Interpretable Deep Learning Harnesses Structural and Evolutionary Synergy to Predict Transcription Factor Binding Specificity
We present ModCRE-NN, a machine-learning framework and server for predicting transcription-factor (TF) DNA-binding motifs through the integration of structural and evolutionary information. The met...
Memory-safe high-performance sequence mapping with rammap
We introduce a reimplementation of the widely used mapping tool minimap2 in Rust called rammap. We demonstrate perfect concordance with minimap2, enabling its backwards compatibility as a drop-in r...
Transcriptomic phase transitions along the Alzheimer's disease continuum using riemmaninan tensor model: a bifurcation-intermediate variance framework on the ROSMAP cohort
Alzheimer's disease (AD) progression involves systemic network transitions. To capture these using ROSMAP bulk RNA-seq (n=624), we focused on the geometry of the covariance structure, performing a ...
SPACKLE: A spatial-first framework for multi-layer spatial transcriptomic analysis
Background The emergence of accessible spatial transcriptomic platforms such as 10x Genomics Visium HD and Xenium has created demand for analysis tools that can handle the complexity and scale of s...
Cophenetic Spatial Topology Embedding reveals multiscale tissue architecture in spatial omics
The spatial organization of tissues emerges from cell interactions across multiple scales, yet current spatial omics analysis tools often emphasize local neighborhoods and may not summarize broader...
Multiple versus pairwise sequence alignments for protein phylogenetics using foundation models
Phylogenetic inference is a common task in molecular and evolutionary biology and has conventionally required a multiple sequence alignment (MSA), a statistical model of amino acid substitutions, a...
MetworkPy A Python Package for Graph- and Information-theoretic Investigation of Metabolic Networks
We present MetworkPy, a python package for investigating in silico genome-scale models of metabolism (GSMM). By using novel graph- and information-theoretic methods to explore the feasible reaction...
FlowTransOP: Distributional Translation of Omics Signatures via Constrained Deep Flow Matching
Observations from pre-clinical models rarely generalize to human patients, leading to many failures in clinical trials. Most existing methods cannot handle domains with non-overlapping features and...
A Multi-Agent RAG Framework for Biomedical Literature Analysis
Background: The biomedical literature is expanding at an unprecedented rate, with over 4,000 new articles indexed on PubMed each day. Clinicians and researchers frequently lack the time to review t...