Clay weekly context brief for the Quantitative Biology category (ISO week 2026-W34).

Clay tracks publications from the Quantitative Biology feed list. Below are recent items from this category, each with its source and a short description of what the publication covers when one is available in the source feed.

Recent publications:
1. Task- and dataset-specific information in protein language models
   Source: q-bio.BM (Biomolecules)
   Link: https://arxiv.org/abs/2608.12090
   Protein language models (PLMs) have transferred the latest advances from natural language processing to computational biology.
2. A Bayes-Markov Neuromorphic Model of Cortical Orientation Selectivity: A Computational Re-implementation and Quantitative Simulation Study
   Source: q-bio.NC (Neurons and Cognition)
   Link: https://arxiv.org/abs/2608.12388
   The emergence of orientation selectivity in the primary visual cortex (V1) remains a central question in computational neuroscience.
3. SVPLEX: A Nextflow Pipeline for Cohort-level Structural Variant Calling
   Source: q-bio.GN (Genomics)
   Link: https://arxiv.org/abs/2608.11621
   SVPLEX is a Nextflow pipeline for cohort-level structural variant detection from short-read whole-genome sequencing data.
4. COLD-CI: A large-scale very high-resolution label polygon dataset for cocoa and non-cocoa classification in Cote d'Ivoire
   Source: q-bio.OT (Other Quantitative Biology)
   Link: https://arxiv.org/abs/2606.20767
   Spatially explicit information on cocoa cultivation is essential for land-use planning, deforestation monitoring, environmental assessment, and supply-chain analysis.
5. Probing and steering biology across Boltz-1s trunk-diffusion boundary
   Source: q-bio.QM (Quantitative Methods)
   Link: https://arxiv.org/abs/2608.11475
   AlphaFold3-class structure predictors pair a representational trunk, which processes sequence and context, with a diffusion module, which generates atomic coordinates.
6. Local growth laws determine global shape of molluscan shells
   Source: q-bio.PE (Populations and Evolution)
   Link: https://arxiv.org/abs/2604.21988
   Molluscan shells come in various shapes and sizes.
7. A General Theory for Phenotypic Association in Biological Systems
   Source: q-bio.MN (Molecular Networks)
   Link: https://arxiv.org/abs/2608.08571
   Biological recognition rarely rests on one strong bond.
8. A quantitative model for the emergent population dynamics of the melanoma MITF rheostat
   Source: q-bio.CB (Cell Behavior)
   Link: https://arxiv.org/abs/2607.11820
   Cancer progression is driven by the ability of cells with identical driver mutations to adopt biologically distinct adaptive phenotypes.
9. TRAECR: A Tool for Preprocessing Positron Emission Tomography Imaging for Statistical Modeling
   Source: q-bio.TO (Tissues and Organs)
   Link: https://arxiv.org/abs/2511.04458
   Positron emission tomography (PET) imaging is widely used in a number of clinical applications, including cancer and Alzheimer's disease (AD) diagnosis, monitoring of disease development, and treatment effect evaluation.
10. DegradeQuery: Counterfactual Tuple Pretraining for Context-Aware PROTAC Degradation Prediction
   Source: q-bio.BM (Biomolecules)
   Link: https://arxiv.org/abs/2608.10595
   Proteolysis-targeting chimeras (PROTACs) induce protein degradation by recruiting a target protein to an E3 ubiquitin ligase, making degradation a joint outcome of the degrader molecule and its biological context.
11. Metacognitive Skill Learning: A Computational Account
   Source: q-bio.NC (Neurons and Cognition)
   Link: https://arxiv.org/abs/2608.12393
   This dissertation presents the first formal theory of metacognitive skill learning.
12. Idea Search: Guiding Tree Search with Ideas to Explore Diverse Scientific Methods
   Source: q-bio.GN (Genomics)
   Link: https://arxiv.org/abs/2608.08958
   Tree Search-based test-time scaling of LLMs is a powerful tool for automated scientific coding.
13. Current validation practice undermines surgical AI development
   Source: q-bio.OT (Other Quantitative Biology)
   Link: https://arxiv.org/abs/2511.03769
   Surgical data science (SDS) is rapidly advancing, yet clinical adoption of artificial intelligence (AI) in surgery remains limited, with inadequate validation as an important contributing factor.
14. A Modular Agentic Framework for Synthetically Constrained Multi-Objective Hit-to-Lead Optimization
   Source: q-bio.QM (Quantitative Methods)
   Link: https://arxiv.org/abs/2608.11483
   Hit-to-lead optimization requires iterative design of hit analogs across competing potency, selectivity, physicochemical, pharmacokinetic, safety, and synthetic constraints.
15. Beyond cognacy
   Source: q-bio.PE (Populations and Evolution)
   Link: https://arxiv.org/abs/2507.03005
   Computational phylogenetics has become an established tool in historical linguistics, with many language families now analyzed using likelihood-based inference.
16. muxvizpy: a Python library for the analysis of multilayer biological networks
   Source: q-bio.MN (Molecular Networks)
   Link: https://arxiv.org/abs/2608.07344
   Biological systems are inherently multilayered: the same entities---genes, cells, or bacterial species---participate simultaneously in qualitatively distinct types of interactions, each carrying complementary information that no single relational view can capture.
17. Smart membrane: high content in situ monitoring barrier on chip with artificial neuronal network
   Source: q-bio.CB (Cell Behavior)
   Link: https://arxiv.org/abs/2608.01239
   Conventional transepithelial electrical resistance (TEER) technique provides only a low-content analysis of cell-layer conditions, necessitating repeated microscopic assessments of morphology and cell-cell contacts outside the incubator for barrier-on-chip systems.
18. From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation
   Source: q-bio.TO (Tissues and Organs)
   Link: https://arxiv.org/abs/2607.02564
   Computational models of the human heart are widely used to study electromechanical and fluid-dynamical cardiac function and to support applications such as in silico clinical trials.
19. Is Retrieval All You Need? Assessment and Emergence of Novelty in Protein Structure Generation
   Source: q-bio.BM (Biomolecules)
   Link: https://arxiv.org/abs/2608.10598
   Protein backbone generation models are often credited with exploring novel fold space based solely on low full-chain similarity to known proteins, yet this cannot distinguish a genuinely new fold from a novel assembly of known structural units.
20. VR-IPS: Virtual Reality Tool for Photic Stimulation in Photosensitive Diagnosis
   Source: q-bio.NC (Neurons and Cognition)
   Link: https://arxiv.org/abs/2608.12394
   Photosensitivity is a neurological condition in which the brain generates epileptiform activity in response to visual stimuli.
21. VOICE: A Vision-Omics Foundation Model Integrating Direct and Retrieval-Based Prediction of In-situ Single-Cell Gene Expression
   Source: q-bio.GN (Genomics)
   Link: https://arxiv.org/abs/2608.08366
   Spatial transcriptomics can resolve gene expression at single-cell resolution, but it is costly, limited to targeted panels of a few hundred to a few thousand genes, and applicable to only a small number of samples.
22. BODIESReg: An Open-Source Pipeline for Registering 3D Body Scans Using Pose-Aligned Initialization
   Source: q-bio.OT (Other Quantitative Biology)
   Link: https://arxiv.org/abs/2607.15463
   Biomechanical models are used to quantify and optimize human movement in clinical rehabilitation, sports science, and occupational health.
23. Validated Synthetic Patient Generation for Small Longitudinal Cohorts: Coagulation Dynamics Across Pregnancy
   Source: q-bio.QM (Quantitative Methods)
   Link: https://arxiv.org/abs/2604.07557
   Small longitudinal cohorts, common in maternal health, rare diseases, and early-phase trials, limit computational modeling because enrollment is slow and the data are too sparse to train reliable models.
24. Evolutionary Entropy Shapes Lifespan of the Greenland Shark
   Source: q-bio.PE (Populations and Evolution)
   Link: https://arxiv.org/abs/2607.19203
   The Greenland shark (Somniosus microcephalus) is among the longest-lived vertebrates known, with female maturity estimated at about 156 years and maximum ages approaching four centuries.
25. On the abelian structure of noncompetitive chemical reaction networks
   Source: q-bio.MN (Molecular Networks)
   Link: https://arxiv.org/abs/2512.17491
   Chemical reaction networks (CRNs) are foundational models for describing complex biochemical processes.
26. Necessary and sufficient condition for hysteresis in the mathematical model of the cell type regulation of \textit{Bacillus subtilis}
   Source: q-bio.CB (Cell Behavior)
   Link: https://arxiv.org/abs/2009.06524
   The key to a robust life system is to ensure that each cell population is maintained in an appropriate state.
27. A concentration-independent paradigm rendering weak interactions inherently quantifiable
   Source: q-bio.BM (Biomolecules)
   Link: https://arxiv.org/abs/2608.02865
   A vast class of weak, millimolar-affinity molecular interactions governs cellular function, yet their quantitative characterization has remained largely beyond conventional methods.
28. Zenons Demon and the Denial of Domain-Generality for Transformer-Based Computational Models of Human Behavior
   Source: q-bio.NC (Neurons and Cognition)
   Link: https://arxiv.org/abs/2608.12396
   Transformer-based models of human behavior (e.g., the Centaur model by Binz, et al., 2025) posit to be domain general computational models of human behavior.
29. Frozen but Not Always Accessible: A Representation Analysis of Genomic Language Models
   Source: q-bio.GN (Genomics)
   Link: https://arxiv.org/abs/2608.05329
   Genomic foundation models are increasingly reused as frozen feature extractors for downstream sequence prediction, offering a compute-efficient alternative to full fine-tuning.
30. Open Questions about Time and Self-reference in Living Systems
   Source: q-bio.OT (Other Quantitative Biology)
   Link: https://arxiv.org/abs/2508.11423
   Living systems exhibit a range of fundamental characteristics: they are active, self-referential, self-modifying systems.
31. Observable-Reduction-Guided Sparse Regression for Partially Observed Active-Quiescent Systems
   Source: q-bio.QM (Quantitative Methods)
   Link: https://arxiv.org/abs/2608.11125
   Active-quiescent switching occurs in biological populations in which growth is confined to a proliferative active state, while cells may reversibly enter a nonproliferative quiescent state.
32. Joint Spatial and Temporal Generalized Dissimilarity Mixed Modeling (stGDMM) for Beta Diversity
   Source: q-bio.PE (Populations and Evolution)
   Link: https://arxiv.org/abs/2608.05352
   Generalized dissimilarity models (GDMs) have emerged as a valuable tool for formal statistical analysis of biodiversity.
33. Noise-Driven Differentiation via Gene Frustration and Epigenetic Fixation
   Source: q-bio.MN (Molecular Networks)
   Link: https://arxiv.org/abs/2604.18185
   Gene expression in cells is stochastic, yet differentiation can display reproducible timing and stable fate commitment.

Sources in this brief: q-bio.BM (Biomolecules); q-bio.CB (Cell Behavior); q-bio.GN (Genomics); q-bio.MN (Molecular Networks); q-bio.NC (Neurons and Cognition); q-bio.OT (Other Quantitative Biology); q-bio.PE (Populations and Evolution); q-bio.QM (Quantitative Methods); q-bio.TO (Tissues and Organs).
Selected 33 of 486 available items for this weekly brief.