AIMC Journal:
bioRxiv

Showing 1491 to 1500 of 4956 articles

Drug design using unique conformations to preferentially target a specific site on collagen-bound MMP1

bioRxiv
Precise site-specific drug design remains a challenge in structure based drug discovery. Most existing approaches screen for ligands to target binding pockets on a protein surface based on static structures obtained from techniques such as X ray, NMR...

TogoMCP: Natural Language Querying of Life-Science Knowledge Graphs via Schema-Guided LLMs and the Model Context Protocol

bioRxiv
Querying the RDF Portal knowledge graph maintained by DBCLS, which aggregates approximately 60 life-science databases, requires proficiency in both SPARQL and database-specific RDF schemas, placing this resource beyond the reach of most researchers. ...

Applications of adeno-associated virus for 3D single-cell morphometric analysis in iPSC-derived midbrain organoids.

bioRxiv
Human midbrain organoids (hMBOs) are emerging in vitro models to mirror the cellular diversity and the structural complexity of the developing human brain. However, the dense neural network, limits the investigation of individual cell morphology or c...

Estimating the Presence and Abundance of Aedes Albopictus in Europe Using Neural Networks

bioRxiv
Aedes albopictus is an invasive mosquito species transmitting dengue, chikungunya, Zika and other arboviruses. Its ongoing geographical expansion across Europe, driven by climate change, trade, human mobility and urbanisation, is increasing the risk ...

Biological foundation models illuminate annotation blind spots in evolutionarily divergent genomes

bioRxiv
Chromosome-scale assemblies are increasingly available for non-model organisms, but functional annotation remains limited when deep evolutionary divergence erodes primary amino-acid sequence identity even though protein structural similarity can rema...

Easy to use and low cost leaf disease quantification workflow using Ilastik

bioRxiv
Accurate and reproducible assessment of foliar disease severity is essential for evaluating the performance of heterogeneous plant communities and understanding host-pathogen interactions. However, traditional visual scoring methods remain subjective...

Towards a General Approach for Bat Echolocation Detection and Classification

bioRxiv
Acoustic monitoring is a scalable approach for assessing bat populations, yet automating the detection and classification of bat echolocation calls remains challenging, particularly in data-scarce regions. Although deep learning (DL) is increasingly ...

A unified benchmark of synthetic data generation for clinical transcriptomic cancer cohorts

bioRxiv
Achieving a trade-off between biological utility and patient privacy remains a key challenge for secure data sharing when applying transcriptomic clinical datasets to artificial intelligence in precision oncology. Here, we introduce the first benchma...

Genetic code expansion enables programmable covalent protein design

bioRxiv
Covalent chemistry has transformed small-molecule drug discovery, yet analogous strategies for proteins remain largely inaccessible because covalent warheads cannot be readily integrated into biologics. Conventional genetic code expansion requires en...

OpenBase: a universal framework for high-accuracy single-molecule detection of diverse non-canonical DNA bases using nanopore sequencing

bioRxiv
Nanopore sequencing holds great potential for the direct detection of non-canonical DNA bases from electrical signals, yet current approaches remain limited to a few classical epigenetic marks. Here we present OpenBase, an open and universal framewor...