AIMC Journal:
bioRxiv

Showing 2411 to 2420 of 4979 articles

Scaling SMILES-Based Chemical Language Models for Therapeutic Peptide Engineering

bioRxiv
Therapeutic peptides occupy a unique middle ground in drug discovery, offering the high specificity of protein interactions with the chemical diversity of small molecules, yet they currently fall in a computational blind spot. Existing AI tools canno...

Cellular Aging Signatures in the Plasma Proteome Record Human Health and Disease

bioRxiv
Aging is asynchronous across cells and organs, but whether plasma proteins can capture cell type-specific aging and predict disease and mortality remains unknown. We developed machine learning models to estimate the biological age of more than 40 dis...

Structure-guided analysis and prediction of human E2-E3 ligase pairing specificity

bioRxiv
Protein ubiquitination, directed by specific E3 ligases, constitutes the primary cellular pathway for selective protein degradation. In addition to targeting proteins for degradation, ubiquitination can mediate new protein-protein interactions, and o...

Deep learning-based non-invasive profiling of tumor transcriptomes from cell-free DNA for precision oncology

bioRxiv
Circulating tumor DNA (ctDNA) profiling from liquid biopsies is increasingly adopted as a minimally invasive solution for clinical cancer diagnostic applications. Current methods for inferring gene expression from ctDNA require specialized assays or ...

SLECA: a single-cell atlas of systemic lupus erythematosus enabling rare cell discovery using graph transformer

bioRxiv
Systemic lupus erythematosus (SLE) is a highly heterogeneous autoimmune disease with complex immune and molecular dysregulation. While rare immune cell populations are increasingly recognized as critical drivers of disease pathogenesis and progressio...

Genetic variation shapes human mRNA translation and disease risk

bioRxiv
Genetic variation can influence protein abundance through translation, yet this regulatory layer remains poorly defined. We developed a deep learning approach to systematically map the effects of single-nucleotide variant (SNV) on translation efficie...

Conserved dimerization architecture in C-type lectins from virus-vector mosquitoes

bioRxiv
C-type lectins (CTLs) play key roles in innate immunity and microbial carbohydrate recognition. In the disease vector mosquito Aedes aegypti, the CTLD-S family comprises 34 soluble CTLs whose members are implicated in flavivirus dissemination and mic...

miRXplain: explainable isomiR-aware microRNA target prediction using CLIP-L experiments and hybrid attention transformers

bioRxiv
MicroRNAs (miRNAs) are 22 nt long noncoding RNAs that repress genes by base-pairing with complementary sequences in target mRNAs. Variants known as isomiRs arise from alternative hairpin processing and often shift the canonical seed region, thereby a...

EnzFinder: a sustainable alternative to chemical synthesis

bioRxiv
Enzymes have emerged as an important alternative to traditional catalysts in chemical industries over the past few decades owing to their sustainable nature. The application of enzymes in chemical synthesis relies on their ability to catalyse promisc...

What and where manifolds emerge and align with perception in deep neural network models of sound localization

bioRxiv
Whether the auditory cortex has parallel pathways for sound identification ("what") and localization ("where"), and whether it contains a map of auditory space, is debated. Here, we examined the low-dimensional structure (manifold) of "what" and "whe...