Infectious Disease

COVID-19

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

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Structure-based Predictions of Conformational B Cell Epitopes by Protein Language Model and Deep Learning

Mapping conformational B-cell epitopes remains a central challenge for antibody discovery: experimen...

CIViC MCP: Integrating Large Language Models with the Clinical Interpretations of Variants in Cancer

The Clinical Interpretation of Variants in Cancer (CIViC) knowledgebase provides a community-driven,...

REM sleep predicts reductions in pathophysiological daytime basal ganglia-cortical circuit activity in Parkinson’s disease

Sleep disturbances have been shown to be intimately and bidirectionally related to disease progressi...

RoBep: A Region-Oriented Deep Learning Model for B-Cell Epitope Prediction

Accurate in silico identification of B-cell epitope residues is crucial for antibody design and stru...

An AI-driven approach for nanobody affinity maturation

B7-H3 (CD276), an immunoregulatory checkpoint molecule overexpressed in numerous cancers, is a promi...

Harnessing Contextual Embeddings: A Deep Learning Framework for Predicting PCR Amplification Using BERT Tokenization

Polymerase Chain Reaction (PCR) is a widely used molecular biology technique to amplify DNA sequence...

Nucleotide context models outperform protein language models for predicting antibody affinity maturation

Antibodies play a crucial role in adaptive immunity. They develop as B cell receptors (BCRs): membra...

From bench assays to bedside: a context-embedding transformer predicts monoclonal antibody viscosity, clearance, and regulatory success

Late-stage failures of monoclonal antibody (mAb) programs often reflect developability liabilities, ...

A high-throughput platform for biophysical antibody developability assessment to enable AI/ML model training

Antibodies must bind their targets with high affinity and specificity to achieve useful therapeutic ...

intDesc-AbMut: Describing and understanding how antibody mutations impact their environmental interactions1

Previously, we proposed a double-point mutation (DPM) strategy involving the simultaneous substituti...

Computational redesign of a thermostable T7 RNA polymerase

T7 RNA polymerase (T7 RNAP) is a foundational enzyme for biotechnology, but its utility for many pot...

Lab-in-the-loop therapeutic antibody design with deep learning

Therapeutic antibody design is a complex multi-property optimization problem with substantial promis...

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

Antibodies are central to immune defense and therapeutic design, yet predicting which sequences conf...

Analyzing the Performance of Deep Learning Splice Prediction Algorithms

SpliceAI has become the leading computational tool for predicting splice-altering variants, but rest...

Iterative immunogen optimization to focus immune responses on a conserved, subdominant viral epitope

Designing effective vaccination strategies against genetically diverse viruses, such as HIV or influ...

An integrated platform for high-throughput phenospace learning of 3D multilineage organoid systems

Complex multilineage organoid systems lack quantitative phenotyping methods preserving spatial archi...

Ultrahigh throughput screening to train generative protein models for engineering specificity into unspecific peroxygenases

Enzyme engineering is central to developing biocatalysts with improved activity and specificity, yet...

Clair-Mosaic: A deep-learning method for long-read mosaic small variant calling

Mosaic variants, defined as postzygotic mutations occurring during an organism’s development from zy...

Machine Learning Identifies Common Risk Variants and Implicates Abnormal Vision Physiology in ASD

Genomic technology advancements have facilitated associations between genetic variants and disease r...

Targeting peptide–MHC complexes with designed T cell receptors and antibodies

Class I major histocompatibility complexes (MHCs), expressed on the surface of all nucleated cells, ...

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