Research Articles
BBKNN: Advanced Batch Effect Correction in Python for Single-Cell RNA Sequencing Analysis
This article provides a comprehensive guide to BBKNN (Batch Balanced k-Nearest Neighbors), a powerful Python tool for correcting batch effects in single-cell RNA-seq data.
Decoding Immune Intelligence: A Comprehensive Guide to B Cell Repertoire Sequencing (Ig-Seq) Data Analysis
This article provides a detailed, end-to-end guide for researchers, scientists, and drug development professionals conducting B cell receptor repertoire sequencing (Ig-Seq) analysis.
Decoding Evolution in Real-Time: How B Cell Receptor Somatic Hypermutation Phylogenetics Powers Antibody Discovery and Disease Insights
This article provides a comprehensive analysis of B cell receptor (BCR) somatic hypermutation (SHM) phylogenetic patterns, a cornerstone of adaptive immunity and therapeutic antibody development.
Scaling Immunology: A Comprehensive Guide to Apache Spark for Distributed Antibody Repertoire Analysis
This article provides a comprehensive guide for researchers and drug development professionals on leveraging Apache Spark for high-throughput antibody repertoire analysis.
AntBO Implementation Guide: A Practical Protocol for Combinatorial Bayesian Optimization in Drug Discovery
This article provides a comprehensive implementation protocol for AntBO, a combinatorial Bayesian optimization framework designed to accelerate drug candidate discovery.
Unlocking the Immune Repertoire: A Complete Guide to AmpliSeq for Illumina Panels for Researchers
This comprehensive guide explores AmpliSeq for Illumina immune repertoire panels, designed for researchers, scientists, and drug development professionals.
AlphaFold vs Antibody-Specific AI: Which Wins at CDR Loop Prediction for Drug Discovery?
This article provides a comprehensive analysis for researchers and drug development professionals comparing the performance of the generalist protein folding model AlphaFold against specialized antibody-specific AI models for predicting the...
AlphaFold Confidence Scores vs. DockQ Accuracy: A Guide to Predicting Protein-Protein Docking Reliability
This article provides a critical examination of the relationship between AlphaFold's per-residue and per-model confidence scores (pLDDT and ipTM/pTM) and the DockQ metric for evaluating protein-protein complex predictions.
Predicting TCR-pMHC Complexes with AlphaFold Multimer: A Comprehensive Guide for Immunology and Drug Discovery
This article provides a detailed guide for researchers, scientists, and drug development professionals on leveraging AlphaFold Multimer for predicting the 3D structures of T-cell receptor (TCR) and peptide-Major Histocompatibility Complex...
Decoding Immune Response: How AIRR Repertoire Diversity Predicts Therapy Success in Responders vs. Non-Responders
This article provides a comprehensive analysis of how Adaptive Immune Receptor Repertoire (AIRR) diversity serves as a critical biomarker for predicting therapeutic outcomes.