Infectious Disease

COVID-19

Latest AI and machine learning research in covid-19 for healthcare professionals.

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Machine Learning-Driven Optimization of Specific, Compact, and Efficient Base Editors via Single-Round Diversification

Cytosine and adenosine base editors show great potential in research and clinical applications. Curr...

Accurate Protein-Protein Interactions Modeling through Physics-informed Geometric Invariant Learning

AlphaFold has set a new standard for predicting protein structures from primary sequences; however, ...

Language models learn to represent antigenic properties of human influenza A(H3) virus

Given that influenza vaccine effectiveness depends on a good antigenic match between the vaccine and...

snATAC-Express infers Gene Expression from Prioritized Chromatin Accessibility Peaks using Machine Learning

Single cell multi-omic investigation opens-up new opportunities to understand mechanisms of gene reg...

BAGEL: Protein Engineering via Exploration of an Energy Landscape

Despite recent breakthroughs in deep learning methods for protein design, existing computational pip...

Deep Evolutionary Fitness Inference for Variant Nomination from Directed Evolution

Iterative screening techniques, such as directed evolution, enable high-throughput affinity maturati...

Delta Marches to autonomously learn histopathology rules by generative latent space traversals

Deep learning (DL) has excelled in tissue image classification, presenting opportunities to discover...

PHbinder and PSGM: A Cascaded Framework for Epitope Prediction and HLA-I Allele Identification

The presentation of antigens by Human Leukocyte Antigen class I (HLA-I) molecules is a cornerstone o...

Classifier-guided Deep Oscillatory Neural Networks (cDONN) for capturing both Neural Dynamics and Behavior simultaneously

Generating EEG signals alongside behavioural actions introduces substantial biological complexity, a...

Replacement of a single residue in an antibody completely abolishes cognate antigen binding, as predicted by theoretical methods

Structural insights into the interaction between antibodies and antigens at the atomic level are piv...

AbAgym: a well-curated dataset for the mutational analysis of antibody-antigen complexes

With monoclonal antibodies becoming one of the largest classes of biopharmaceuticals, it is importan...

Machine Learning Resolves Functional Phenotypes and Therapeutic Responses in KCNQ2 Developmental Epileptic Encephalopathy iPSC Models

Pathogenic KCNQ2 variants are associated with developmental and epileptic encephalopathy (KCNQ2-DEE)...

Deep generative modeling reveals maturation-linked pairing signatures in human antibodies

Understanding how antibody heavy and light chains pair is critical for decoding immune repertoire ar...

Microdroplet screening rapidly profiles a biocatalyst to enable its AI-assisted engineering

Engineering enzymes for increased efficiency is key to enabling sustainable, ‘green’ biocatalytic pr...

An improved deep learning model for immunogenic B epitope prediction

The recognition of B epitopes by B cells of the immune system initiates an immune response that lead...

MoCETSE: A mixture-of-convolutional experts and transformer-based model for predicting Gram-negative bacterial secreted effectors

Identifying effector proteins of Gram-negative bacterial secretion systems is crucial for understand...

Inference of germinal center evolutionary dynamics via simulation-based deep learning

B cells and the antibodies they produce are vital to health and survival, motivating research on the...

Integrated histopathologic modeling of detailed tumor subtypes and actionable biomarkers

Accurate cancer subtyping with accompanying molecular characterization is critical for precision onc...

EpiPred: A gene-specific machine learning model for classifying missense variants in the epilepsy-related gene STXBP1

Missense variants in the STXBP1 gene are a frequent cause of early-onset developmental and epileptic...

DynaRepo: The repository of macromolecular conformational dynamics

Proteins, RNA, and DNA are central to virtually all cellular processes, often assembling into macro-...

Variant effect prediction with reliability estimation across priority viruses

Viruses pose a significant threat to global health due to their rapid evolution, adaptability, and i...

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