AI for Scientific Discovery
Curated tools, papers, and opportunities. No hype—just what actually works.
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View all →20 papers from arXiv & bioRxiv · Updated 5/30/2026
Computational Structure Modeling, Functional Characterization, and Identifica...
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....
paperModCRE-NN: Interpretable Deep Learning Harnesses Structural and Evolutionary ...
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...
paperMemory-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...
paperAlphaFold3: Accurate structure prediction of biomolecular interactions
DeepMind releases updated model handling proteins, DNA, RNA, ligands, and modifications.
toolChai-1: Open foundation model for molecular structure prediction
Multi-modal foundation model achieving state-of-the-art on drug-target interaction benchmarks.
newsRecursion acquires Exscientia for $688M in AI drug discovery consolidation
Major merger signals maturation of AI-native drug discovery platforms.
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ML research roles at biotech companies, pharma, and academic labs.