Infectious Disease

COVID-19

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

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Benchmarking antigen-aware inverse folding methods for antibody design

Computational antibody design has seen many recent advances pioneered via the use of language models...

A fully-open structure-guided RNA foundation model for robust structural and functional inference

RNA language models have achieved strong performances across diverse down-stream tasks by leveraging...

BRAVE: a highly accurate method for predicting HIV-1 antibody resistance using large language models for proteins

Broadly neutralizing antibodies (bNAbs) that target the envelope glycoprotein (Env) of human immunod...

Antibody immunogenicity prediction and optimization with ImmunoSeq

Therapeutic antibody development faces persistent immunogenicity challenges from anti-drug antibodie...

Predicting antifolate resistance in the unculturable fungal pathogen Pneumocystis jirovecii

Pneumocystis jirovecii is a fungal pathogen causing Pneumocystis pneumonia in humans, mainly in immu...

A genetic algorithm for self-supervised models of oscillatory neurodynamics

Predictive processing theories propose that the brain supervises itself, to build an internal model ...

BLMPred: predicting linear B-cell epitopes using pre-trained protein language models and machine learning

B-cells get activated through interaction with B-cell epitopes, a specific portion of the antigen. I...

Intra-genomic genes-to-genes correlation enables bacterial genome representation

The bacterial pan-genome consists of core genes shared by all members of a taxonomy and accessory ge...

Disease-specific variant pathogenicity prediction using multimodal biomedical language models

Missense variants play a key role in the diagnosis of genetic disorders and in disease risk predicti...

Soft Metropolis-Hastings Correction for Generative Model Sampling

Molecular diffusion models suffer from systematic sampling biases that prevent optimal structure for...

BioLab: End-to-End Autonomous Life Sciences Research with Multi-Agents System Integrating Biological Foundation Models

Scientific discovery in the life sciences remains hindered by fragmented workflows, narrow-scope com...

Query Augmented Generation (QAG) from the Genomic Data Commons for Accurate Variant Statistics

In precision oncology, researchers often use public knowledgebases to check somatic variant frequenc...

Museum collections and machine learning guide discovery of novel coronaviruses and paramyxoviruses

Natural history museum collections are valuable but underutilized resources for viral discovery, off...

Gene Specific Pathogenicity Predictor for Chromatin-Remodeling BAF Complex-Associated Neurodevelopmental Disorders

Advancements in whole genome sequencing have increased the number of variants of uncertain significa...

A Novel MiRNA Detection System Combining TWJ-SDA, Multistep L-TEAM, and CRISPR-Cas3

MicroRNAs (miRNAs) serve critical regulatory roles in gene expression and are valuable biomarkers fo...

Evaluating the contribution of genome 3D folding to variation in human height using machine learning

Genome-wide association studies (GWAS) have identified thousands of variants associated with complex...

T-SCAPE: T-cell Immunogenicity Scoring via Cross-domain Aided Predictive Engine

T-cell immunogenicity, the ability of peptide fragments to elicit T-cell responses, is a critical de...

Beyond Sequence Similarity: ML-Powered Identification of pHLA Off-Targets for TCR-Mimic Antibodies Using High Throughput Binding Kinetics

T-cell receptor mimic (TCRm) antibodies are an emerging class of tumor-targeting agents used in adva...

Geno2pheno[bNAbs]: Interpretable and accurate HIV antibody resistance prediction

Antiretroviral therapy (ART) is a life saving option for people living with HIV-1 (PLWH) and is effe...

FAST: Filamentous Actin Segmentation Tool for quantifying cytoskeletal organization

Studying how actin filaments are assembled into different subcellular structures can provide insight...

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