Tigran Tsaturyan

Drug Discovery Project Manager | Structural Bioinformatics Researcher | AI-Driven Drug Discovery I specialize in Protein-Protein Interaction (PPI) drug discovery, leveraging computational approaches to identify novel therapeutic compounds. My research focuses on key biomolecular interactions to develop innovative drug candidates. I have been directly involved in more than 10 drug discovery projects covering the full spectrum from hit identification to late-stage lead optimization, with a strong track record in GPCRs, Ion Channels, Kinases, and PPIs. My experience spans both small molecule discovery and AI-driven computational methods, ensuring robust strategies to accelerate pipeline development. Key areas of contribution: * Project Management: overseeing timelines, deliverables, and cross-functional team coordination * Client Communication: managing expectations, aligning goals, and ensuring transparency * Cross-Disciplinary Collaboration: bridging AI, computational chemistry, and medicinal chemistry * Developing strategies and computational pipelines for different target classes (GPCRs, Ion Channels, Kinases, and PPIs) * Data Management & Curation: ensuring high-quality input data for modeling, screening, and predictive analytics * Workflow Automation: integrating cheminformatics, molecular modeling, and AI pipelines to streamline discovery * Decision Support: analyzing computational results to guide medicinal chemistry and biology teams I excel in leading interdisciplinary teams by driving strategy, execution, and delivery in complex research projects. My approach emphasizes clear communication, adaptability, and workflow optimization to enhance productivity and innovation in AI-driven drug discovery. With a background in molecular modeling and bioinformatics, I have contributed to projects involving: * Designing PPI-targeting small molecules * Applying deep learning for drug screening and prioritization * Automating ligand- and structure-based drug discovery pipelines * Supporting GPCR, Ion Channel, and Kinase programs through computational modeling I am always open to networking, collaborations, and discussions on AI-driven drug discovery, structural bioinformatics, and project management.