AIMC Journal:
bioRxiv

Showing 1441 to 1450 of 4956 articles

Accurate protein stability prediction for small domains using mega-scale experiments

bioRxiv
Predicting absolute protein folding stability is a long-standing challenge in biophysics, with broad applications in protein design and in understanding genetic variation and evolution. Physics-based simulations have shown limited success at predicti...

Energetic gradients emerge in developing motor-microtubule structures

bioRxiv
Living matter produces a variety of beautiful spatiotemporal structures and patterns that are not enduringly present in their nonliving counterparts. These ordered, non-equilibrium steady states are often sustained through the consumption of energy. ...

Excitatory Dysfunction and Phenotypic Rescue in a Human Neuronal Model of SCN2A-Related Disorders

bioRxiv
SCN2A-related disorders result from pathogenic variants in the gene encoding for the voltage-gated sodium channel Nav1.2. Collectively, these disorders result in variable age of onset epilepsy, autism spectrum disorder, and epileptic encephalopathies...

Error-driven representation learning in the mesolimbic system

bioRxiv
In reinforcement learning, an agent learns to map representations of the environment state to predictions of future reward. Most prior work in neuroscience has assumed a fixed representation and studied how reward prediction errors (thought to be con...

A Comparative Evaluation of Structural MRI Foundation Models for Brain Age Regression and Sex Classification

bioRxiv
Foundation models pre-trained on large neuroimaging datasets offer a promising approach to overcome the limited sample sizes typical of mental health imaging studies, yet their generalization across diverse clinical populations remains unclear. We pr...

Automated robotic control system for EEG-BCI-guided closed-loop TMS

bioRxiv
Brain-state-guided and closed-loop transcranial magnetic stimulation (TMS) protocols have emerged as methods for decreasing the variability and increasing the therapeutic effectiveness of stimulation protocols. However, most existing brain-state-depe...

Engineering Endogenous T Cell Receptors to Recognize Cancer Neoantigens Using a Hybrid Physics-AI Approach

bioRxiv
T cell receptors (TCRs) are critical for immune surveillance and successful adaptive immune response against foreign antigens. TCRs drive this key arm of the immune system through recognition of peptide epitopes presented on MHC complexes. However, t...

Deep Learning of High-throughput Transcription Factor-DNA Binding Affinity Data: Quantitative Comparison with Pairwise-Additive Models

bioRxiv
Transcription factors (TFs) regulate gene expression by binding to specific DNA sequences. Widely used models of TF-DNA binding, such as position weight matrices (PWMs) and position-specific affinity matrices (PSAMs), assume binding free energy is th...

Peripheral anatomy of the dolphin ear and associated nervous structures: insights from macroscopic dissection, DICE-{micro}CT, histology, and confocal microscopy

bioRxiv
The peripheral auditory system of dolphins comprises specialised bony, fatty, vascular, and neural structures adapted for underwater hearing and diving physiology. These include the external ear canal, acoustic fat bodies, sinuses, and associated neu...

PocketBagger: Generalizable pocket druggability prediction via positive-unlabeled learning

bioRxiv
Reliable structure-based prediction of small-molecule druggability is hindered by a fundamental labeling problem. Experimentally confirmed liganded sites (positives) are observable, but credible "undruggable" pockets (negatives) are almost impossible...