arXiv Quantitative Biology @arxiv_bio@qoto.org

Improving Antibody Design with Force-Guided Sampling in Diffusion Models https://arxiv.org/abs/2406.05832 #qbioQM #qbioBM #csLG

From First-order to Higher-order Interactions: Enhanced Representation of Homotopic Functional Connectivity through Control of Intervening Variables https://arxiv.org/abs/2406.05859 #qbioNC

Hybrid metapopulation agent-based epidemiological models for efficient insight on the individual scale: a contribution to green computing https://arxiv.org/abs/2406.04386 #qbioPE

Continuous Attractor Networks for Laplace Neural Manifolds https://arxiv.org/abs/2406.04545 #qbioNC

Development and Validation of a Deep-Learning Model for Differential Treatment Benefit Prediction for Adults with Major Depressive Disorder Deployed in the Artificial Intelligence in Depression Medication Enhancement (AIDME) Study https://arxiv.org/abs/2406.04993 #qbioNC #csLG

Benchmarking Deep Jansen-Rit Parameter Inference: An in Silico Study https://arxiv.org/abs/2406.05002 #qbioNC #csAI

Accurate stochastic simulation algorithm for multiscale models of infectious diseases https://arxiv.org/abs/2406.05058 #qbioPE

Adapting Physics-Informed Neural Networks To Optimize ODEs in Mosquito Population Dynamics https://arxiv.org/abs/2406.05108 #qbioPE #csLG

SynAsk: Unleashing the Power of Large Language Models in Organic Synthesis https://arxiv.org/abs/2406.04593 #physics.chem-ph #qbioBM

Projecting Molecules into Synthesizable Chemical Spaces https://arxiv.org/abs/2406.04628 #qbioQM #cs.CE

Unsupervised representation learning with Hebbian synaptic and structural plasticity in brain-like feedforward neural networks https://arxiv.org/abs/2406.04733 #qbioNC #cs.NE

Planar chemical reaction systems with algebraic and non-algebraic limit cycles https://arxiv.org/abs/2406.05057 #math.DS #qbioMN

Diversity in Evolutionary Dynamics https://arxiv.org/abs/2406.03938 #qbioPE #csCE

Benchmarking AlphaFold3's protein-protein complex accuracy and machine learning prediction reliability for binding free energy changes upon mutation https://arxiv.org/abs/2406.03979 #qbioBM #mathAT #qbioQM

A Hybrid Deep Learning Classification of Perimetric Glaucoma Using Peripapillary Nerve Fiber Layer Reflectance and Other OCT Parameters from Three Anatomy Regions https://arxiv.org/abs/2406.03663 #eess.IV #qbioQM #cs.LG

CORTEX: Large-Scale Brain Simulator Utilizing Indegree Sub-Graph Decomposition on Fugaku Supercomputer https://arxiv.org/abs/2406.03762 #qbioNC #cs.DC

From operculum and body tail movements to different coupling of physical activity and respiratory frequency in farmed gilthead sea bream and European sea bass. Insights on aquaculture biosensing https://arxiv.org/abs/2406.03859 #qbioPE #cs.CV

Information Benchmark for Biological Sensors Beyond Steady States -- Mpemba-like sensory withdrawal effect https://arxiv.org/abs/2406.04304 #cond-mat.stat-mech #physicsbioph #qbioQM

The combinatorial code and the graph rules of Dale networks https://arxiv.org/abs/2211.08618 #qbioNC

Deciphering regulatory architectures from synthetic single-cell expression patterns https://arxiv.org/abs/2401.15880 #qbioGN #qbioQM