Estimates the Force-of-Infection of a given pathogen from population based sero-prevalence studies
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Updated
Aug 22, 2024 - R
Estimates the Force-of-Infection of a given pathogen from population based sero-prevalence studies
This repo contains the code and data models that were used in the Harmony project.
Finding the pitfalls of deep learning predictors of interacting residues in antibodies 🦠
Code repository for Master Thesis "Antibody-antigen binding affinity prediction through the use of geometric deep learning"
Code and data associated with the paper 'When does humoral memory enhance infection?' to be published in Plos Computational Biology
AbLang: A language model for antibodies
AbLang: A language model for antibodies
Peptide Microarray Workflow. Python, open-source
Integrated LC-MS/MS-based de novo sequencing of antibody chains in complex mixtures
An R package for simulating serosurvey data using custom models for the data-generating process
Antibody Annotation - Annotate VH and VL sequences (FR and CDR) in Python
Code and data for the ML analysis of humoral and cellular responses to SARS-CoV-2
Benchmarking computational methods for B cell receptor reconstruction from single cell RNA-seq data
An automated web search for human antibodies labelling neurons and glia in the brain. Takes the direct output of Seurat's "FindMarkers()" and returns a data frame of antibodies based on information from the human protein atlas.
Working with in-silico antibody libraries
An R package and framework for epitope-specific antibody profiling for the data obtained with the Bead-Based Epitope Assay (BBEA)
Learning the Relationship between the Primary Structure of HIV Envelope Glycoproteins and Neutralization Activity of Particular Antibodies by Using Artificial Neural Networks
Prediction of hydrophilicity & antigenic determinants from protein sequences
Classifying Antibodies for Expression
Software for in silico identification of immunologically-vulnerable regions of the HCV E2 glycoprotein and broadly neutralizing antibodies that target them
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