AIMC Journal:
bioRxiv

Showing 1341 to 1350 of 4956 articles

GraphTox: A Semi-Supervised Pre-Trained Framework for Peptide Toxicity Prediction using Geometric Graph Transformer and LORA-Based Finetuning

bioRxiv
Peptides are widely used as potential therapeutic agents in drug discovery and biotechnology because they are specific, effective, and relatively inexpensive to produce. They are used in drug development, vaccines, and antimicrobial treatments. Howev...

Sequence-independent protein domain detection and classification with PRISM

bioRxiv
The explosion of predicted protein structures has revealed countless novel domain families. However, gold-standard segmentation tools like Chainsaw and Merizo are trained on rapidly obsoleting CATH databases, lack automatic domain classification, and...

An AI-agent-orchestrated grey-box Transformer framework for sparse pharmacokinetic curve reconstruction and pharmacometric model initialization

bioRxiv
Clinical pharmacokinetic (PK) modelling is constrained by sparse sampling, limited generalisability of single-drug models, and labour-intensive workflows, making it difficult to infer complete drug exposure from limited concentration observations. We...

Interconnecting ADC Structure with Tumor Cell Biology with Multimodal Learning

bioRxiv
Antibody-drug conjugates (ADCs) represent a significant advancement in cancer therapy, yet their development remains constrained by high attrition rates driven by an incomplete understanding of how ADC chemical design interconnects with tumor biology...

Data-Constrained Recurrent Network Neural Model Uncovers the Circuit Mechanism of Olfactory OFF Responses

bioRxiv
Sensory neural circuits must encode both the presence and termination of a stimulus. Following odor offset, projection neurons (PNs) in the insect antennal lobe (AL) exhibit transient increases in firing rate, termed OFF responses, yet the circuit me...

An LSEC-focused computational drug repurposing platform for liver fibrosis: Identification of vorinostat and other LSEC-protective candidates

bioRxiv
Liver sinusoidal endothelial cells (LSECs) are increasingly recognized as a critical yet underexplored cell type in anti-fibrotic drug development. This study presents a computational drug screening platform integrating LSEC-specific transcriptomic a...

Investigating Hybrid Deep Learning Architectures for Speech Envelope Reconstruction from EEG

bioRxiv
Reconstructing speech envelopes from electroencephalography(EEG) signals is a challenging but valuable task for brain-computer interfaces (BCIs), with applications in assistive communication for individuals with speech impairments. While deep learnin...

Evolutionary transfer learning enables organism-wide inference of mammalian enhancer landscapes

bioRxiv
Understanding and modeling how a single human genome concurrently encodes gene regulatory programs for thousands of cell types remains a central challenge in genomics and machine learning. Most human cell types emerge during embryonic, fetal, and ped...

A scutum-focused deep learning pipeline for species-level identification of Aedes aegypti and Aedes albopictus from citizen-science images

bioRxiv
Background. Mosquito-borne diseases transmitted by Aedes aegypti and Aedes albopictus, including dengue, Zika, chikungunya, and yellow fever, depend critically on rapid and accurate vector identification. Although deep learning has achieved high accu...

Protracted prediction: Neurodevelopment of reward processing in the adolescent cerebellum.

bioRxiv
Adolescence is characterized by heightened reward sensitivity, novelty seeking, and risky decision-making. Prevailing neurodevelopmental frameworks typically attribute these behavioral trends to a maturational imbalance between rapidly developing str...