6 papers
RAGPPI: RAG Benchmark for Protein-Protein Interactions in Drug Discovery
Youngseung Jeon, Ziwen Li, Thomas Li +3
Retrieving the biological impacts of protein-protein interactions (PPIs) is essential for target identification (Target ID) in drug development. Given the vast number of proteins i…
C-MORAL: Controllable Multi-Objective Molecular Optimization with Reinforcement Alignment for LLMs
Rui Gao, Youngseung Jeon, Swastik Roy +2
Large language models (LLMs) show promise for molecular optimization, but aligning them with selective and competing drug-design constraints remains challenging. We propose C-Moral…
OOPrompt: Reifying Intents into Structured Artifacts for Modular and Iterative Prompting
Tengyou Xu, Detao Ma, Xiang 'Anthony' Chen
The rise of large language models (LLMs) has given rise to a class of prompt-based interactive systems where users primarily express their input in natural language. However, compo…
Supporting Medicinal Chemists in Iterative Hypothesis Generation for Drug Target Identification
Youngseung Jeon, Christopher Hwang, Ziwen Li +6
While drug discovery is vital for human health, the process remains inefficient. Medicinal chemists must navigate a vast protein space to identify target proteins that meet three c…
CoSight: Exploring Viewer Contributions to Online Video Accessibility Through Descriptive Commenting
Ruolin wang, Xingyu Liu, Biao Wang +5
The rapid growth of online video content has outpaced efforts to make visual information accessible to blind and low vision (BLV) audiences. While professional Audio Description (A…
GraPPI: A Retrieve-Divide-Solve GraphRAG Framework for Large-scale Protein-protein Interaction Exploration
Ziwen Li, Xiang 'Anthony' Chen, Youngseung Jeon
Drug discovery (DD) has tremendously contributed to maintaining and improving public health. Hypothesizing that inhibiting protein misfolding can slow disease progression, research…