AI x Bio Discovery
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📤 746
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📝 7408
Automated discovery of AI x Bio papers, blogs, and news.
ContextTAD: Context-aware boundary learning for TAD calling from Hi-C contact maps
[new] produces asm-optimized left/right boundary tracks via multiscale feat. extraction from broader Hi-C windows, with novel pair & count objectives.
5 days ago
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Phylogenetic Tree Inference with Tropical Axial Attention
[new] ...uses max-plus operators for piecewise-linear distance learning, leveraging tropical Grassmannian geometry for tree inference.
6 days ago
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Attention-Based Multimodal Survival Prediction with Cross-Modal Bilinear Fusion
[new] ...integrates histology, RNA, and clinical data to model conditional interactions for patient survival.
6 days ago
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Frequency-Space Mechanics: A Sequence and Coordinate-Free Representation for Protein Function Prediction
[new] ...encodes proteins as mechanical harmonics graphs (MHGs) from vibrational modes and couplings, using physics alone to predict molecular function.
6 days ago
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ToolMol: Evolutionary Agentic Framework for Multi-objective Drug Discovery
[new] It merges a multi-objective genetic algorithm with an LLM agent, using a RDKit toolbox for precise ligand modification and chemical knowledge exploitation.
6 days ago
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ENSEMBITS: an alphabet of protein conformational ensembles
[new] defines the first tokenizer for protein conformational ensembles, providing a discrete vocabulary to integrate protein dynamics into language modeling and design.
6 days ago
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MetaGEM: Bottom-Up Reconstruction of Genome-Scale Metabolic Networks via Deep Enzyme-Metabolite Anchoring
[new] ...uses multimodal AI combining protein LM with 3D metabolite representations to predict enzyme-metabolite interactions, building functional GEMs.
6 days ago
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AI-guided design of efficient perovskite solar cells operationally stable at 100°C
[new] ...focusing on material composition and interface engineering.
6 days ago
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BioByte 159: the Release of OpenBind, uPAR CAR-T Breaks Down Tumor Defenses, Triplet Tumbling Microscopy Improves Detection of PPIs, and the Potential Role of Autoantibodies in Schizophrenia
[blog]
6 days ago
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CardioSafe: Multi-task prediction of cardiac ion channel activity with reverse-leak audited benchmarking
[new] Integrates chem/Tx features to predict multi-ch. cardiac ion activity; audit found widespread data overlap in comps.
6 days ago
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ENSEMBITS: an alphabet of protein conformational ensembles
[new] The first tokenizer for protein conformational ensembles, enabling dynamics in language models and design, even predicting from single structures.
7 days ago
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ToolMol: Evolutionary Agentic Framework for Multi-objective Drug Discovery
[new] Combines a multi-objective genetic algorithm with an agentic LLM operator, using RDKit-backed functions to iteratively update ligand populations for drug design.
7 days ago
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Hessian Matching for Machine-Learned Coarse-Grained Molecular Dynamics
[new] ...augments force matching with stochastic second-order curvature data to constrain CG free-energy surface shape, creating more accurate potentials.
7 days ago
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Multitask Multimodal Fusion with Tabular Foundation Models for Peak and Durability Prediction of Pertussis Booster Response
[new] predicts distinct peak, durable pertussis booster resp. via a multi-task contrastive multimodal fusion arch. for hetero. data.
7 days ago
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Chem-GMNet: A Sphere-Native Geometric Transformer for Molecular Property Prediction
[new] ...replaces standard transformer modules with sphere-native counterparts, processing molecular data via spherical embeddings, recurrence, and kernel operations.
7 days ago
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Predicting Endocrine Disruptors: A Deep Learning QSAR Model for Estrogen Receptor Activity
[new] ... which uses a DNN to rapidly identify ER-binding molecules for risk assessment and conservation.
7 days ago
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Engineering proteins with Sequence Display
[new] enabling unbiased, large-scale mapping of sequence-activity landscapes, providing rich datasets to guide machine learning.
7 days ago
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Deep peptide recognition profiling decodes TCR specificity and enables disease-associated antigen discovery
[new] predicts T cell receptor specificity and identifies disease-associated antigens.
7 days ago
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A generative artificial intelligence approach for peptide antibiotic optimization
[new] ...redesigns them for enhanced efficacy against drug-resistant bacteria, validated through lab tests and mouse infection models.
7 days ago
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Integrating Diffusion and Liquid AI Models for Predicting Peptide Affinity from mRNA Display Selections
[new] predicts binding affinity (ΔG°) for exp. & generated peptides, enhancing ligand discovery and mol. property prediction.
7 days ago
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Set-Aggregated Genome Embeddings for Microbiome Abundance Prediction
[new] Predicts microbiome abundance by aggregating genomic language model embeddings from raw DNA sequences, enabling few-shot learning.
8 days ago
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Letting the neural code speak: Automated characterization of monkey visual neurons through human language
[new] A closed-loop system with digital twins describes V1/V4 selectivity using semantic hypotheses generated from high/low-activating images.
8 days ago
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SCOPE: Siamese Contrastive Operon Pair Embeddings for Functional Sequence Representation and Classification
[new] employs PLM embeddings & Siamese MLP for scalable operon pair class. across diverse microbial genomes, aiding annot. & network reconstruction.
8 days ago
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Learning the Interaction Prior for Protein-Protein Interaction Prediction: A Model-Agnostic Approach
[new] by designing a bio-informed classifier based on L3 rule, using graph prompt learning to reformulate embed pair classification into a graph task.
8 days ago
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Clin-JEPA: A Multi-Phase Co-Training Framework for Joint-Embedding Predictive Pretraining on EHR Patient Trajectories
[new] enables stable co-training encoder & predictor for patient traj. forecast & diverse risk pred. from single backbone w/o fine-tuning.
8 days ago
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Deep Learning for Protein Complex Prediction and Design
[new] ...investigates domain-specific architectures and search algorithms to model hierarchical protein structures, identify interacting homologs, and design protein sequences.
8 days ago
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Beyond Manual Curation: Augmenting Targeted Protein Degradation Databases via Agentic Literature Extraction Workflows
[new] introduces an AI workflow to extract structured TPD records, including critical context, from lit, expanding existing databases.
8 days ago
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Unlocking LLM Creativity in Science through Analogical Reasoning
[new] leverages cross-domain analogies to combat mode collapse, yielding diverse and novel scientific solutions for autonomous discovery.
8 days ago
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LPDP: Inference-Time Reward Control for Variable-Length DNA Generation with Edit Flows
[new] Training-free local re-solving for variable-length DNA generation, guiding inference by evaluating edit actions via bounded discrete programs.
8 days ago
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Self-organized MT Direction Maps Emerge from Spatiotemporal Contrastive Optimization
[new] ...revealing a discriminative pressure vs. spatial regularization trade-off drives their formation, unifying cortical self-organization principles.
8 days ago
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Decomposing the Generalization Gap in PROTAC Activity Prediction: Variance Attribution and the Inter-Laboratory Ceiling
[new] ...reveals inter-lab measurement variance dominates the generalization gap for novel-target pred., setting an inter-lab ceiling.
8 days ago
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Five burning Qs for Isomorphic Labs after $2.1B raise for AI biotech
[blog] cementing its bellwether role in using AI for drug discovery with a record-setting private biotech raise.
8 days ago
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Reconstructing True 3D Spatial Omics at Single-Cell Resolution
[updated] ...by modeling tissue evolution as a continuous dynamic vector field, extracting uninterrupted, infinitely resolvable states from discrete slices.
8 days ago
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TD3B: Transition-Directed Discrete Diffusion for Allosteric Binder Generation
[new] ...generates allosteric binders with specified agonist or antagonist behavior by controlling protein state transitions.
8 days ago
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Cortico-cerebellar modularity as an architectural inductive bias for efficient temporal learning
[new] This modularity, with a cerebellar module driving efficiency, enables the recurrent core to function as a fixed reservoir for temporal learning.
8 days ago
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Clin-JEPA: A Multi-Phase Co-Training Framework for Joint-Embedding Predictive Pretraining on EHR Patient Trajectories
[new] stably co-trains encoder & latent trajec. pred. via 5-phase curr. for fine-tune-free patient traj. forecasting & diverse risk pred.
8 days ago
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AssayBench: An Assay-Level Virtual Cell Benchmark for LLMs and Agents
[new] enables in silico phenotypic screen prediction across 1,920 CRISPR screens, formulating it as gene rank prediction for virtual cell progress.
8 days ago
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Yeti: A compact protein structure tokenizer for reconstruction and multi-modal generation
[new] It discretizes continuous atomic coordinates into discrete tokens for scalable multimodal protein sequence/struct co-generation, enabling unified repr. and design.
9 days ago
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FLUX: Geometry-Aware Longitudinal Flow Matching with Mixture of Experts
[new] FLUX: Geometry-Aware Longitudinal Flow Matching with Mixture of Experts identifies regimes and models geometric transport in unpaired data through expert decomposition.
9 days ago
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Pushing Biomolecular Utility-Diversity Frontiers with Supergroup Relative Policy Optimization
[new] It directly constructs rewards from set-level diversity, ensuring balanced utility and broader biomolecular generation beyond narrow candidates.
9 days ago
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MicroFuse: Protein-to-Genome Expert Fusion for Microbial Operon Reasoning
[new] Integrates protein identity and genomic context using specialized experts to resolve agreement and conflict, for operon co-membership prediction.
9 days ago
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A putative, computationally stable structure of homotrimeric BP180/collagen XVII
[new] ...was predicted and validated via molecular dynamics, offering a foundation for pharmacological targeting and understanding bullous disease epitopes.
9 days ago
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Meow-Omni 1: A Multimodal Large Language Model for Feline Ethology
[new] ...natively fuses video, audio, physiological data, and text to infer feline intent, overcoming semantic aliasing for inter-species understanding.
9 days ago
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How Much is Brain Data Worth for Machine Learning?
[new] Quantifies its value via scaling laws, exchange rates with task samples, and identifies conditions for robustness gains and when its collection is worthwhile.
9 days ago
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LiteMedCoT-VL: Parameter-Efficient Adaptation for Medical Visual Question Answering
[new] Adapts compact medical VQA models by transferring multi-step reasoning from large models using LoRA fine-tuning on explanation-enriched data.
9 days ago
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Predictive and feedback signals differently shape the formation of group-level and individualized language representations
[new] predictive signals drive common neural learning architectures, as feedback mechanisms explain differences in language acq.
9 days ago
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Learning the Interaction Prior for Protein-Protein Interaction Prediction: A Model-Agnostic Approach
[new] ...learns this prior with a classifier leveraging the 'L3 rule,' generating L3-path-regularized prompt graphs from embeddings for graph classification.
9 days ago
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Towards the explainability of protein language models
[new] by surveying explainable AI methods applicable to these models.
9 days ago
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Machine learning cross-platform proteomic imputation enables protein quality scoring and replication of epidemiological associations
[new]
9 days ago
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PPI-Net connects molecular protein interactions to functional processes in disease
[new] Models disease propagation integrating PPI networks with pathway hierarchies using hierarchical GNN, mapping gene signals to functional programs for mechanistic insight.
10 days ago
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