Khalid Saeed

This study compares CRISPR knockout and interference methods using single-cell RNA sequencing to evaluate their strengths in functional genomics.

The paper identifies aldehyde metabolism as a therapeutic target in Fanconi anemia using a multi-omics approach integrating CRISPR data and transcriptomics.

The paper develops a scarless conditional sgRNA system using endogenous RNA processing to enable precise temporal control of genome editing with improved efficiency and fidelity.

This paper compares drug-target interaction databases to identify repurposing opportunities and presents a pathway-based pipeline for predicting drug repositioning in cancer.

DLRNA-BERTa predicts RNA-drug binding affinities using a transformer model, achieving high Pearson correlations across RNA classes and identifying 2,859 compounds with predicted affinities.

The paper benchmarks CRISPR sgRNA design algorithms and creates smaller, efficient libraries for loss-of-function screens.