AIMC Journal:
bioRxiv

Showing 1641 to 1650 of 4956 articles

SLiMNet: a deep learning model to detect short linear motifs using protein large language model representations and paired inputs

bioRxiv
Short linear motifs (SLiMs) are short (3-15 amino acids in length) segments within intrinsically disordered regions (IDRs) that mediate transient protein-protein interactions as well as other functions such as stability and subcellular localization. ...

Quantum kernel support vector machines for trabecular bone classification: comparing feature reduction strategies on synthetic micro-CT data

bioRxiv
Quantum kernel methods offer a potential advantage for classification tasks in high-dimensional feature spaces, yet their practical benefit critically depends on how input features are prepared. We compare five dimensionality reduction strategies - p...

Modifying integrated nursery management through the lens of mycorrhizal ecology improves radiata pine seedling performance and reshapes root mycobiome structure at operational industry scale

bioRxiv
Early management decisions in operational forestry are critical for plantation success because it strongly influences seedling quality at planting. Beyond shaping seedling morphology, nursery inputs can also restructure root-associated fungal communi...

Bridging genomes and peptidomes: hybrid sequencing reveals conserved bioactive peptides in crustaceans

bioRxiv
Endogenous peptides are critical regulators of signaling and immunity but remain difficult to characterize in organisms with incomplete genomic annotation. We developed a hybrid discovery platform that integrates transformer-based de novo sequencing ...

Image-Conditioned Diffusion for Privacy-Preserving Synthetic Medical Images

bioRxiv
Medical imaging models depend on large, shareable datasets, yet privacy constraints limit data dissemination. Current text-conditioned diffusion models fail to preserve subtle, distributed clinical signals, such as continuous physiological biomarkers...

Deep Learning-Enhanced TopoStats for the Automated Quantification of DNA and Complex Biomolecular Structures

bioRxiv
Atomic force microscopy (AFM) enables nanometre-scale, label-free imaging of biomolecules and surfaces under near-native conditions, yet quantitative analysis of AFM data remains limited compared to other bioimaging modalities. This limitation largel...

Towards autonomous biology: Compiler-Verified Protocols as a Foundation for Real World AI Execution

bioRxiv
Artificial intelligence has advanced from analyzing experimental data to autonomously generating hypotheses, designing experiments, and coordinating closed loop discovery. Yet the translation from computational reasoning to physical execution remains...

Multi-modal Ensemble Approach for Decoding Player Intentions in Table Tennis

bioRxiv
This study aims to predict human intentions during intense sports activities, specifically in table tennis. Using a publicly available Real World Table Tennis dataset containing simultaneous EEG and video recordings, we developed a series of particip...

An LLM-driven pipeline for proteomics-based detection and structural modeling of post-translational modifications

bioRxiv
Post-translational modifications (PTMs) on proteins dynamically regulate their functions and subsequently cellular physiology. Significant advances have been made in their detection and modeling: mass spectrometry-based proteomics has become the corn...

Advancing in silico drug design with Bayesian refinement of AlphaFold models

bioRxiv
Virtual screening has become an indispensable tool in modern structure-based drug discovery, enabling the identification of candidate molecules by computationally evaluating their potential to bind target proteins. The accuracy of such screenings cri...