AIMC Journal:
bioRxiv

Showing 861 to 870 of 4938 articles

Deep-Interact Studio: An Interactive Deep Learning Model Building Platform for Biomolecular Interaction Prediction

bioRxiv Jul 7, 2026
Motivation: Deep learning has rapidly become essential for predicting biomolecular interactions; however, most web-tools expose only a single, pre-built model with a fixed, non-configurable architecture that users cannot redesign, retrain on their ow...
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Application of class-balancing algorithms to diverse plasma metabolomics datasets using brain tumor as an example

bioRxiv Jul 7, 2026
Class imbalance remains a challenge in metabolomics research, where biological and technical variability can affect statistical inference and machine learning (ML) performance. Class-balancing algorithms address this issue by either increasing minori...
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Tracing the regulatory atlas of non-coding RNA in human labour

bioRxiv Jul 7, 2026
The early onset of labour increases mortality and developmental risks for a human newborn. Key genes in human labour have been investigated using multiple modalities, but their regulation by non-coding RNA (e.g. lncRNA and miRNA) remains incomplete. ...
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Generative and discriminative recurrence employ opposing strategies for robust vision

bioRxiv Jul 7, 2026
Recurrence is thought to enhance the robustness of biological vision, but how it achieves this feat is largely unknown. Perceptual robustness can be implemented through either lateral connections supporting local integration within a processing stage...
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Integrated Framework for Probing Multimodal Protein Foundation Models with Structure-Functional Interpretability Analysis in Detection of Allosteric Binding Sites

bioRxiv Jul 7, 2026
Allosteric regulation represents a fundamental mechanism of protein function, yet distinguishing allosteric from orthosteric protein binding sites remains a persistent computational challenge. While multimodal protein foundation models offer the pote...
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Machine Learning Gap-Fills Missing Transporter Kinetics in Biosystems Across Scales

bioRxiv Jul 7, 2026
Understanding transporter kinetics is essential for deciphering metabolite exchanges in biosystems, particularly for cells subject to substrate gradients. Nevertheless, the prediction of transporter kinetic parameters, maximum rate per gram protein (...
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A foundation model enables prediction of natural product molecular properties, bioactivity, and structural similarity from biosynthetic gene cluster sequence

bioRxiv Jul 7, 2026
Genome mining is a powerful technique in natural product discovery, where biosynthetic gene clusters that are likely to produce novel or desirable natural products are identified through bioinformatic analysis. There are many more predicted biosynthe...
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The molecular triggers of human labour: a longitudinal plasma proteomics study

bioRxiv Jul 7, 2026
Spontaneous labour onset is a precisely timed physiological transition that determines outcomes for millions of pregnancies annually, yet its upstream molecular triggers remain unknown. Here we report a longitudinal plasma proteomics study using the ...
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Short-term forecasts of Aedes aegypti relative abundance to enhance mosquito control situational awareness

bioRxiv Jul 7, 2026
Conventional mosquito surveillance typically relies on contemporaneous data, making it challenging to anticipate future vector surges. To support proactive vector management, this study evaluates a multi-model forecasting framework designed to genera...
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Cell signaling pathways discovery from multi-modal data

bioRxiv Jul 6, 2026
Deciphering cell signaling pathways is key to understanding biology, disease mechanisms, and developing new therapies. Although advances in multi-omics technologies provide richer insight into signaling, the data remain high-dimensional, heterogeneou...
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