Ah‐Ram Kim

A tiered catalogue of 5,280 Drosophila genes encoding putative secreted proteins (1,802 high-confidence) with a web portal; these genes are less conserved, more tissue-restricted and disproportionately down-regulated with age.

FlyPredictome scores 1.5 million AlphaFold-Multimer predictions of Drosophila protein pairs with a contact-aware integrated Local Interaction Score (iLIS), yielding residue-level interfaces enriched for phenotype-associated missense alleles.

This study shows that Drosophila NECAP inhibits light-induced Rhodopsin-1 internalization, preventing retinal degeneration.

LIVIA is a browser-based tool that assesses and visualizes predicted protein interactions by computing confidence metrics and providing 3D visualization options.

The paper develops a genome-wide CRISPR-Cas9 knockout screening platform for Ixodes scapularis ticks and identifies genes associated with cellular fitness and drug resistance.

This paper develops PD-iPCR to detect low-abundance secreted proteins in Drosophila by using nanobodies and tagged proteins, enabling sensitive quantification of hormones like ImpL2.

The paper identifies Zrf1 as an epigenetic factor regulating intestinal stem cell proliferation and genome stability in Drosophila midgut regeneration.

The paper constructs a structure-guided kinase-transcription factor interactome atlas using AlphaFold-Multimer predictions, revealing docking motifs and allosteric hotspots that regulate kinase activity and lipid metabolism.

The paper identifies Attractin as the receptor for Nigritoxin, a Vibrio toxin, and shows that related toxins use this receptor but have distinct effector domains.

The paper identifies a cytokine-lipid axis that links systemic inflammation to hepatic autophagy dysfunction in cancer across species.

The paper identifies ZDHHC8-dependent Gαq palmitoylation as a critical regulator of GPCR signaling through a genome-wide CRISPR screen in Drosophila.

The paper introduces IntAC, a CRISPR screening method for Drosophila cells that improves accuracy by suppressing early Cas9 activity, leading to a more comprehensive list of fitness genes.

This paper identifies two opposing gene regulatory networks that control root hair growth in Arabidopsis at low temperature, revealing their role in integrating environmental and internal signals.

This study introduces a phage-displayed synthetic library for nanobody discovery and validates it by screening against Drosophila secreted proteins, demonstrating its utility for immunological applications.

This study builds tissue-specific metabolic models for Drosophila to identify metabolic dysregulation in muscle caused by a high sugar diet.

A Local Interaction Score (LIS), computed from AlphaFold-Multimer predicted aligned error, separates curated fly and human protein interactions from controls better than ipTM, recovering small or flexible interfaces.

The paper introduces two short NanoTag epitopes and their nanobodies for in vivo protein visualization and manipulation in Drosophila, demonstrating their utility in multiple assays and CRISPR-based tagging.