bioRxiv

Showing 4281 to 4290 of 5016 articles

Off-target mapping enhances selectivity of machine learning-predicted CK2 inhibitors

bioRxiv
A key challenge in drug development is identification of druggable targets, the modulation of which attenuates disease progression, while avoiding inhibition of proteins that lead to dose-limiting toxicities. Here, we investigate a drug target Casein...

BudFinder: A Masked Auto-Encoder Vision Transformer Framework for Yeast Budding Detection

bioRxiv
Yeast replicative lifespan is a crucial part of aging research, yet its quantification remains labor-intensive and time-consuming, particularly when using time-lapse imaging and microfluidics. Manual counting methods for cell division events are pron...

AI-assisted Image-Based Phenotyping Reveals Genetic Architecture of Pod Traits in Mungbean (Vigna radiata L.)

bioRxiv
Mungbean (Vigna radiata (L.) R. Wilczek) is a vital source of digestible proteins and is well-suited for the plant-based protein industry. In this study, we analyzed pod morphological traits in the Iowa Mungbean Diversity (IMD) panel with 372 genotyp...

AnnotateAnyCell: Open-Source AI Framework for Efficient Annotation in Digital Pathology

bioRxiv
Digital pathology has grown exponentially in recent years, which has created an urgent need for methods to analyze large histopathological image slides. We present an open-source semi-supervised deep learning framework to efficiently analyze and anno...

Synaptic Synchronization-Based Learning of Pattern Separation in Self-Organizing Probabilistic Spiking Neural Networks

bioRxiv
Neuroscience-inspired neural networks bridge biology and technology, offering powerful tools to model brain function while enabling adaptive, efficient control in robotics. In this work, we present a neuroscience-inspired synaptic learning rule based...

PyDecNef: An open-source framework for fMRI-based decoded neurofeedback

bioRxiv
Real time fMRI research has suffered from inaccessible analysis pipelines, hindering collaboration and reproducibility. Here we present PyDecNef, a Python-based platform designed to advance real-time fMRI analysis and fuel exploration of close-loop n...

H3BERTa: A CDR-H3 specific language model for antibody repertoire analysis

bioRxiv
Antibodies are central to immune defense and therapeutic design, yet predicting which sequences confer functional activity remains challenging. Deep learning models trained on full variable regions often struggle due to sparse experimental data, sign...

A PLM-Based Method for Predicting Protein Ion Channel Modulators for Drug Discovery and Safety Evaluation

bioRxiv
Ion channels are central to regulating neuronal communication, cardiac rhythm, and muscle contraction. Their modulation can induce therapeutic benefits but may also lead to adverse or toxic effects. This study presents IonNTXpred, a protein language ...

An Application for Automated Drosophila Locomotor Assay with Integrated Device Design and Computer Vision Tracking

bioRxiv
Drosophila has long served as a powerful model for investigating locomotor behavior, and geotaxis assays have generated valuable insights into genetics, aging, and neurobiology. Nonetheless, their use can be constrained by subjective scoring, modest ...

CDR Conformation Aware Antibody Sequence Design with ConformAb

bioRxiv
Antibody lead optimization methods seek to enhance a lead candidate’s therapeutic properties through targeted sequence mutation. However, the mutations introduced during this process can inadvertently induce structural changes that disrupt binding, p...