AIMC Journal:
bioRxiv

Showing 611 to 620 of 4938 articles

Nonlinear responses to temperature and precipitation shape the distribution of Aedes sierrensis in North America

bioRxiv Jul 30, 2026
Understanding the ecological determinants of species ranges is a central goal of ecology. Novel tools like global datasets and machine learning models allow us to describe species ranges with increasing scope and accuracy, and to develop and test eco...
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The Human Bindome: A Proteome-scale Atlas of Designed Binder Candidates

bioRxiv Jul 30, 2026
Affinity reagents such as antibodies are indispensable for interrogating proteins' biological function. Yet they are costly and frequently unreliable, with unknown sequences, posing challenges to reproducible experimental research. Deep learning-base...
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How Bias Shapes the Leaderboard: Scoring Function Performance Under Scrutiny

bioRxiv Jul 30, 2026
Structure-based scoring functions leveraging machine learning have recently demonstrated superior performance over classical scoring functions, particularly on virtual screening benchmarks. However, due to the fundamental differences between their un...
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Multiscale Temporal Processing Supports Sound Recognition under Causal Constraints

bioRxiv Jul 30, 2026
The auditory system operates under a fundamental computational constraint: at any moment, it has access only to past and present acoustic information. At the same time, it processes sounds across multiple temporal scales, although the computational a...
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Revealing taxonomic signals in plant volatiles with phytochemistry, machine learning and trait mapping

bioRxiv Jul 29, 2026
Plant volatiles have long been used as taxonomic characters, especially in chemotaxonomy. Exploring the utility of chemotaxonomy has been widely regarded critical for drug discovery, despite the knowledge that phytochemicals are often evolutionarily ...
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Mavchen 1: A Conformational Ensemble Platform for Protein Ligand Pose Prediction That Substantially Outperforms Static Structure Prediction in a Category-Stratified Benchmark

bioRxiv Jul 29, 2026
Deep learning structure predictors, most prominently AlphaFold2 (the field-standard tool benchmarked against throughout this study), have substantially expanded access to protein structural information, yet characteristically return a single static c...
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Vision-Language Models for Image-Based Dietary Assessment: A Benchmark of Accuracy, Cost, and Prompt Strategies Across Ten Models

bioRxiv Jul 29, 2026
Background: Dietary assessment is the cornerstone of clinical management and research studies evaluating diet and health. Traditional methods such as food diaries and 24-hour recalls can be burdensome, prone to recall bias, and difficult to adhere to...
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Automated Virtual Pathology Panels for Mass Spectrometry Imaging

bioRxiv Jul 29, 2026
Mass spectrometry imaging (MSI) records rich molecular spectra at each pixel, but pathology-oriented interpretation requires visualizations analogous to complementary histopathological stains. We present an expert-aligned framework for constructing m...
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Computational evolutionary approach to generate antimicrobial peptides

bioRxiv Jul 28, 2026
As a consequence of the overuse of conventional antibiotics, there is currently an unprecedented increase in antibiotic resistance in newer generations of pathogenic bacteria. This growing problem has led scientists to discover novel medications that...
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DCGAN-Based Synthetic MRI Augmentation for Data-centric Brain Tumor Segmentation

bioRxiv Jul 28, 2026
Accurate brain tumor segmentation from magnetic resonance imaging (MRI) remains a challenging task because supervised deep learning models require large quantities of annotated data, which are expensive and time-consuming to obtain. This study invest...
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