MarkushGrapher introduces a novel approach that combines visual and textual analysis to recognize Markush structures - chemical templates crucial for drug development and patent searches.

• Automates extraction of complex chemical structure templates from patents
• Enables more efficient prior-art search in pharmaceutical research
• Accelerates drug discovery by making chemical literature more searchable
• Bridges a critical gap in automated chemical literature analysis

Why It Matters: This technology could significantly speed up pharmaceutical R&D by automating the analysis of chemical patents, reducing manual review time, and improving the discovery of relevant prior research in drug development.

MarkushGrapher: Joint Visual and Textual Recognition of Markush Structures