AI for Scientific Discovery
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View all →20 papers from arXiv & bioRxiv · Updated 3/16/2026
Bayesian AMMI-Based Simulation of Genotype x Environment Interactions
Genotype-by-environment interaction (GEI) has been studied to identify environment-stable/favorable genotypes. The GEI simulation could help refine the inference by incorporating tangible factors s...
paperFlipper: An advanced framework for identifyingdifferential RNA binding behavi...
Motivation: Crosslinking and immunoprecipitation (CLIP) methods remain the gold standard for characterizing RNA binding protein (RBP) behavior. As a result, many researchers rely on CLIP to assess ...
paperEBEx: an Ensemble-Based Explainable Framework for Gene Calling in Heterogeneo...
Complex and clinically heterogeneous diseases pose significant challenges for gene prioritisation and patient stratification, as relevant genes often show weak or context-specific signals and trans...
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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