About EyeCue
EyeCue is a multimodal AI agent skill for interpreting molecular dynamics (MD) trajectories and generating audio-visual explanations.
EyeCue is part of the Igniva suite of AI Agents for R&D in BioPharma and Consumer care, developed by Aganitha.ai.
How EyeCue Works
EyeCue transforms long molecular dynamics (MD) trajectories into compact, annotated, multi-view videos suitable for direct analysis by a multimodal large language model (LLM). When prompted to “watch”, the LLM produces structured, frame-indexed narration that explicitly references temporal segments to justify observations related to ligand binding, pose reorientation, and conformational transitions.
Generated narration text is converted to speech using a Text-to-speech (TTS) model. Key frames corresponding to structural events or transitions are programmatically identified, and the audio timeline is matched to these frames.
EyeCue then stitches the annotated frames and narration track into a final explanatory video that presents the LLM’s interpretation as synchronized, continuous commentary. This step provides a natural-language walkthrough of molecular motion, similar to expert verbal narration of simulation playback.
To know more about EyeCue, checkout the publication:
Seeing Like a Structural Biologist: EyeCue, a Multimodal AI Agent for Interpreting MD Trajectories with Audio-Visual Explanations
Rajkumar Chakraborty, Irum Hussain, Gnapika Arelli, Yamini Krishna Musku, Kumari Soniya and Prasad Chodavarapu
ChemRxiv, 2026
DOI: 10.26434/chemrxiv.15001639/v1
About Aganitha
At Aganitha, we make AI work for Science. We partner with global biopharma, consumer care, and material science businesses to bring better medicines and products to market faster.
For Biopharma, our solutions combine data-driven Agentic & Generative AI with multi-omics and physics-based simulations to serve all stages of R&D value-chain, spanning
- Target and Biomarker identification
- Design of Small molecule, PROTAC, Antibody, ADC, RNA, Peptide, Enzyme, Cell and Gene therapies
- Formulation engineering
- Design for targeted delivery with LNP, AAV, and Peptide conjugation
- CMC modeling
- Patient stratification for trial design
- Digital twins for TechOps.
Across Immunology, Metabolic and CardioVascular disorders, Rare genetic disorders, Oncology, Neuroscience, and infectious diseases, our teams are helping tackle the toughest R&D challenges, turning complex, fragmented data into actionable scientific insight.
Igniva, our flagship Agentic AI platform for R&D, binds together 8+ years of experience from global R&D collaborations into a proven suite of scientific workflows, enabling a next-generation R&D operating model that institutionalizes scientific judgement, scaling across teams, programs and time.
For consumer care products and material science R&D, our solutions integrate AI-powered models, physics-based simulations and multi-omics approaches to enable deep science powered next gen formulations.
To know more, visit us at Aganitha.ai.