Molecular & Cell Biology · Life Sciences
Molecular Networks
The newest papers in Molecular Networks that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
42 papers, from 31 August 2026 to 4 November 2026: 27 OpenAlex records and 15 arXiv preprints.
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Spread of Chronic Wasting Disease under Stochastic Environmental Conditions and its Control using Deep Reinforcement Learning
Chronic wasting disease (CWD) is a fatal prion disease affecting deer, elk, moose, reindeer, muntjac, and other cervids.The 2024 MRSI Data Processing and Quantification Challenge Synthetic Dataset
Synthetic data is central to magnetic resonance spectroscopy method development because they provide ground truths for software validation, reproducible benchmarking, and machine- and deep-learning…On the interpretation of the kinetics of ligand-receptor binding
When the rates of ligand binding are measured by methods such as surface plasmon resonance, it is common practice to use the observed rate constants for the onset and offset of binding to estimate…FLaG: Frequency-Domain Latent-attention Gated Pooling for Token Aggregation
Token aggregation converts token-level representations into fixed-dimensional sample representations, but most pooling methods operate only in the original token space.Pole-Zero Geometry, Model Reduction, and Identifiability in Sensory Adaptation
Sensory adaptation provides a concrete setting in which low-order system identification can fail qualitatively.SymFold: Synergizing Evolutionary and Structural Priors for Accurate Protein Inverse Folding
Protein inverse folding aims to recover amino acid sequences for a given 3D protein structure, underpinning broad applications such as enzyme engineering and drug discovery.Current methods often…PopPert: Population-level Joint-Distribution Modeling for Single-Cell Perturbation Prediction
Predicting transcriptional responses to specific perturbations is critical for understanding cellular regulatory mechanisms and accelerating drug discovery.TWIX: a Two-Stage Approach for End-To-End Named Entity Recognition and Relation Extraction
The exponential growth of scientific publications calls for automatic Information Extraction (IE) systems to support knowledge discovery.Cell size and confinement drive asymmetric cell division through a cortical instability
Asymmetric cell division -- in which a mother cell divides into two daughter cells of unequal size -- is a fundamental problem in biology.Operationalizing open-ended biological discovery across single-cell representations
Single-cell studies are typically initiated from predefined research questions, leaving much of the biological information encoded within existing data unexplored.Learning Task-Specific Antibody Representations via Function-Aware Masking
Antibody-specific language models pretrained via masked language modeling (MLM) learn representations that are critical for downstream sequence design and property prediction tasks.BME-like Quartet Weights for Phylogenetic Trees
Like pairwise distances, quartets can be highly redundant and correlated on a phylogenetic tree, and their number grows on the order of n^4 rather than n^2.Configurable Semantic Chunking for Biomedical Information Extraction in Retrieval-Augmented Generation
BioMedRAG introduced retrieval-augmented generation with a learned chunk scorer for biomedical information extraction.Responsible Integration of AI in Cancer Genomics: Barriers, Risks, and Pathways to Trustworthy Clinical Translation
Artificial intelligence (AI) and natural language processing (NLP) are increasingly used to extract, integrate, and interpret biomedical knowledge relevant to cancer genomics, yet their translation…An Agentic Retrobiosynthesis Framework with Learned Frontier Selection
Large language models are increasingly used as agents for multistep retrosynthesis, raising the question of how much their search policy contributes independently of the underlying reaction model.Conjoint Audio-to-Spikes Encoding and Processing for Efficient Neuromorphic Speech Recognition
Obtaining data from neuromorphic sensors and processing it with Spiking Neural Networks is a promising solution to lower the energy cost of artificial intelligence.When Does Bigger Help? A Controlled Study of LLM Scale for Ontology Learning
The effect of Large Language Model (LLM) scale on ontology learning (OL) performance remains insufficiently characterized.Quantitative Evidence Mining for Plausibility-Aware Biomedical AI: A Narrative Review and Conceptual Framework
Biomedical artificial intelligence is moving from literature retrieval toward evidence synthesis for knowledge graphs, clinical decision support, and computational models.AdaPath: Query-Adaptive Path-Finding via Path-Bank for Multi-Hop Implicit Biomedical KGQA
Path-finding over knowledge graphs has become an effective way to ground LLM reasoning on multi-hop questions.Clustering based magnetic assays for SARS-CoV-2 detection with scFv-functionalized magnetic nanoparticles
Magnetic nanoparticles (MNP) can be used in magnetic immunoassays (MIA) by functionalizing them with antibodies.