Developing new medicines demands smart technology and powerful tools. DNA-encoded library (DEL) technology, with its unique ability to rapidly screen billions of compounds to identify small molecule hits, has transformed drug discovery. HitGen Inc. is raising the bar with the introduction of OpenDEL™ 5.0 – featuring a total of 4 billion diverse compounds designed to tackle challenging biological targets. OpenDEL™ 5.0 comes in a convenient kit format that is accessible to scientists in industry and academia alike.

Key Improvements:

✔ Expanded Chemical Diversity: 4 billion Compounds
• Increased Library Size: Now with 25% more compounds, OpenDEL™ 5.0 offers 3.8 billion small molecules compounds and 200 million peptide compounds to further expand chemical space for targeting protein-protein-interactions (PPI).

• Encompassing Library Design: 59 distinct libraries provide a broad range of chemistries to address different types of targets and discovery challenges.

✔ Optional Macrocycle Library: Unlocking Challenging Targets
• A dedicated macrocycle library: Available as an add-on, featuring 4-10 amino acids in the ring. Comes with a linear peptide control library.

• Dual-Kit Flexibility: Choose between OpenDEL™-Small Molecules or OpenDEL™-Macrocycle – or combine both for maximum coverage.

✔ Streamlined Workflow & Faster Access

• Redesigned protocols: Intuitive visual guides simplify key steps, reducing onboarding time.

• Expedited delivery: Next-day shipping available to minimize wait time

 

 

OpenDEL™ Physicochemical Properties Distribution

OpenDEL™ compounds are designed with balanced physicochemical properties, ensuring high-quality hits from screening to development.

OpenDEL™ in the Literature

1. Grogan A, Ahn S, Israel D, et al. Abstract P2154: A novel allosteric modulator of the β1AR identified by DNA-encoded small molecule library screening demonstrates unique pharmacology and function. Circ Res. 2023;133(Suppl 1):AP2154. doi:10.1161/res.133.suppl_1.P2154

2. Zhang, C.; Pitman, M.; Dixit, A.; Leelananda, S.; Palacci, H.; Lawler, M.; Belyanskaya, S.; Grady, L.; Franklin, J.; Tilmans, N.; Mobley, D. L. Building Block-Based Binding Predictions for DNA-Encoded Libraries. J. Chem. Inf. Model. 2023, 63 (16), 5120– 5132,  DOI: 10.1021/acs.jcim.3c00588

3. Brooun A, Fagan P, Bergqvist S, et al. Identification and characterization of inhibitors of SHOC2-MRAS-PP1C complex assembly [published online ahead of print April 2025]. Cancer Res. 2025;85(8_Supplement_1):3152. doi:10.1158/1538-7445.AM2025-3152

4. Wellnitz, J. et al. Enabling open machine learning of DNA encoded library selections to accelerate the discovery of small molecule protein binders. Preprint at https://doi.org/10.26434/chemrxiv-2024-xd385 (2024).

 

OpenDEL™ Use and Customer Testimonials

 

Begin Your Exploration Today

OpenDEL™ 5.0 is now available worldwide. Let HitGen help you with your next drug discovery breakthrough.