
Cheminformatics Workflows
Virtual screening and lead optimization workflows for drug discovery, from RDKit filtering to docking, MD, FEP, and ML-driven approaches.
Overview
Examol's Cheminformatics Workflows deliver end-to-end computational solutions for drug discovery teams, combining AI and physics-driven methods to support every stage of the pipeline — from virtual screening through to lead optimization. Designed for both computational scientists and bench researchers such as structural biologists and medicinal chemists, these workflows are built to eliminate data wrangling and infrastructure complexity so teams can focus entirely on the science.
Each workflow is engineered for immediate deployment, allowing users to start running calculations and simulations without delay. Whether analyzing a single compound or screening an entire compound library, the same standardized protocols apply, ensuring consistency and reproducibility at any scale.
Core Capabilities
- End-to-end virtual screening powered by a comprehensive suite of computational methods, spanning rapid RDKit filtering through to sophisticated docking, molecular dynamics (MD), free energy perturbation (FEP), and machine learning-driven approaches
- Seamless scalability enabling teams to analyze individual compounds or screen full compound libraries using identical protocols, with no infrastructure overhead
- Bespoke workflow development tailored to unique research challenges, with the ability to integrate custom algorithms and proprietary methods
- Intuitive dashboard interfaces that democratize access to advanced computational methods, empowering structural biologists and medicinal chemists to leverage sophisticated tools without requiring specialized computational expertise
Workflow Design Principles
- Maximized efficiency through immediate calculation and simulation readiness — no setup delays or data preparation bottlenecks
- Elimination of data wrangling so research teams can dedicate time to scientific decision-making rather than computational logistics
- Flexible integration of both established computational chemistry methods and cutting-edge ML-driven approaches within a single unified workflow
Examol's cheminformatics workflows are suitable for organizations seeking scalable, customizable, and accessible computational drug discovery solutions, with the flexibility to accommodate proprietary methods and bespoke research requirements.

