AIMC Journal:
bioRxiv

Showing 2821 to 2830 of 4993 articles

Ab-VS: Evaluating Large Language Models for Virtual Antibody Screening via Antibody-Antigen Interaction Prediction

bioRxiv Jan 1, 2025
We present Ab-VS-Bench, a new benchmark for evaluating large language models (LLMs) on antibody virtual screening (VS) tasks through natural language instructions. Unlike prior efforts that focus on structural annotation, binding prediction, or devel...
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A Biologically Inspired Attention Model for Neural Signal Analysis

bioRxiv Jan 1, 2025
Understanding how the brain represents sensory information and triggers behavioural responses is a fundamental goal in neuroscience. Recent advances in neuronal recording techniques aim to progress towards this milestone, yet the resulting high-dimen...
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Selecting Synthetic Data for Successful Simulation-Based Transfer Learning in Dynamical Biological Systems

bioRxiv Jan 1, 2025
Accurate prediction of the temporal dynamics of biological systems is crucial for informing timely and effective interventions, e.g., in ecological or epidemiological contexts, or for treatment adjustments in therapy. While machine learning has prove...
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Biological profits of irrational computations in the orbitofrontal cortex

bioRxiv Jan 1, 2025
Making good decisions is essential for survival and success, yet humans and animals often exhibit perplexing irrational decision-making whose biological origin remains poorly understood. Recent theoretical work suggests that some forms of irrational ...
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Jaxley: Differentiable simulation enables large-scale training of detailed biophysical models of neural dynamics

bioRxiv Jan 1, 2025
Biophysiscal neuron models provide insights into cellular mechanisms underlying neural computations. However, a central challenge has been the question of how to identify the parameters of detailed biophysical models such that they match physiologica...
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RNAGenesis: A Generalist Foundation Model for Functional RNA Therapeutics

bioRxiv Jan 1, 2025
RNA molecules are central to gene regulation, catalysis, and molecular recognition, and offer broad opportunities for therapeutic applications. However, uncovering their complex sequence, structure, and function relationships, particularly for non-co...
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Marker-independent imaging reveals a correlation of fibrotic and epigenetic alterations in endometriosis

bioRxiv Jan 1, 2025
Endometriosis describes the presence of endometrial glands outside of the uterus and can cause various symptoms such as chronic pelvic pain, hypermenorrhea and infertility. These complications pose an extreme burden on the patients, especially as up ...
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Accurate prediction of gene deletion phenotypes with Flux Cone Learning

bioRxiv Jan 1, 2025
Predicting the impact of gene deletions is crucial for biological discovery, biomedicine, and biotechnology. For example, identifying lethal deletions is key for new cancer therapies or antimicrobial treatments that bypass drug resistance. In biotech...
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Insect Size Matters: Using Image and Dimensions Together Improves Image Classification

bioRxiv Jan 1, 2025
Although visual features have been the cornerstone of insect recognition, morphological traits are often overlooked by modern “scale-invariant” deep learning-based methods. One such trait is absolute body size, which is commonly used by entomologists...
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Predicting DNA origami stability in physiological media by machine learning

bioRxiv Jan 1, 2025
DNA origami nanostructures offer substantial potential as programmable, biocompatible platforms for drug delivery and diagnostics. However, their structural stability under physiological conditions remains a major barrier to practical applications. S...
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