AIMC Journal:
bioRxiv

Showing 171 to 180 of 4935 articles

FoldMark: Safeguarding Protein Structure Generative Models with Distributional and Evolutionary Watermarking

bioRxiv Sep 26, 2026
Proteins are the principal architects of life, fueling advances in bioengineering, drug discovery, and synthetic biology. The integration of generative AI with computational protein science has revolutionized protein design while also posing dual-use...
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Cerebra: a computationally efficient framework for accurate protein structure prediction

bioRxiv Sep 26, 2026
Remarkable progress has been made in the field of protein structure prediction. Representative methods like AlphaFold and RoseTTAFold achieve prediction accuracy close to experimental structural determination, but at the cost of heavy computational c...
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Matrix-controlled emergence of biofilm architecture shapes antimicrobial survival

bioRxiv Sep 26, 2026
Biofilms are structured microbial communities whose extracellular matrix is widely regarded as a basis of their protection against antimicrobial compounds. Yet how matrix production by individual bacteria gives rise to collective architecture and ant...
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Integrative analysis of the MDM2 promoter switch and cellular lineage plasticity in colorectal cancer: a contrast between the autonomous-proliferation type (CIN/CMS2) and the environment-adaptive type (MSI/gastric metaplasia)

bioRxiv Sep 26, 2026
Background: Biomarkers that stratify colorectal cancer (CRC) by therapeutic responsiveness and are measurable directly in biopsy specimens remain insufficiently established. We investigated whether usage of the dual MDM2 promoters (P1/P2) acts as a m...
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Stimulatrix: An open-source automated platform for high-throughput functional characterization of engineered contractile tissues

bioRxiv Sep 25, 2026
Engineered cardiac and skeletal muscle tissues suspended between flexible posts support disease modeling and pharmacology, yet their stimulation, longitudinal imaging and quantitative analysis often remain fragmented and labor-intensive. Here we pres...
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Drought-Spec-Net: Early Tomato Drought Detection and Potential Yield-Impact Assessment Using Vis NIR Data

bioRxiv Sep 25, 2026
Drought stress significantly reduces tomato (Solanum lycopersicum L.) productivity, and early detection is critical to minimize yield losses through timely interventions. In this study, we developed Drought-Spec-Net, a hybrid 1D convolutional neural ...
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Deep generative embeddings of gene expression and splicing reposition the interpretation of single-cell transcriptomic signatures

bioRxiv Sep 25, 2026
Single-cell transcriptomic analysis predominantly derives cell identity from gene expression analysis, while alternative splicing is processed separately despite its fundamental role for cell homeostasis. To overcome the limits of separate investigat...
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An automated machine vision-based index for Rett Syndrome provides a generalizable framework for modeling rare disease therapeutics

bioRxiv Sep 25, 2026
Rare diseases collectively affect millions of people, yet therapeutic development remains limited by preclinical phenotyping which is often dependent on subjective, low-resolution manual behavioral assessment. Rett syndrome (RTT), a rare disease affe...
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Predictive Modeling of Cancer Cell Growth Kinetics with Machine Learning

bioRxiv Sep 25, 2026
Quantitative characterization of cell proliferation is central to preclinical drug discovery. Here, we evaluated Random Forest (RF) regression for predicting confluence-based cell growth trends using data from human cancer cell lines and benchmarked ...
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AnewDDE: An Agentic Drug Discovery Engine for Biomolecular Interaction Modelling and Closed-Loop Design

bioRxiv Sep 25, 2026
Accurate modelling of biomolecular interactions is fundamental to drug discovery, yet current artificial intelligence (AI) workflows remain fragmented across structure prediction, affinity estimation, molecular design, and experimental decision-makin...
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