To contribute to multi-task and interdisciplinary efforts to overcome COVID-19 pandemic, Life Chemicals has designed three original Coronavirus Screening Libraries intended for the development of innovative and specific antiviral therapeutics towards COVID-19. The selected drug-like screening compounds possess predicted activity against SARS-CoV-2.

Antiviral Libraries were designed with 2D similarity or a combination of ligand-based structure-based approaches and aim high throughput screening (HTS) and high content screening (HCS) projects. Over 13,700 drug-like screening compounds with potential antiviral activity against various virus species and antiviral molecular targets were selected.

Life Chemicals has developed its RNA Screening Library of over 3,300 drug-like compounds with predicted RNA-binding activity as an excellent starting point for post-transcriptional gene regulation, antibacterial, and antiviral drug discovery research. It has been designed with two ligand-based approaches: 2D Similarity Search and Bayesian Modeling.

Exclusive non-overlapping Pre-plated Diversity Sets are composed of 5,000, 10,000, 15,000, and 20,000 screening compounds (in total, 50,000 novel structurally-diverse molecules) with optimal physico-chemical properties, selected by dissimilarity search with the average Tanimoto threshold of 80%. They are ideal starting kit for phenotypic and target-based HTS.

The new STING Targeted Library comprises potential agonists of the cellular double-stranded DNA sensor STING. It was created by docking-based virtual screening, resulting in 1,600 drug-like compounds (Ro5-compliant, reactive and toxic groups removed). The docking score value is available for each compound in the compound structure file provided on requests.

Anaplastic lymphoma kinase (ALK) is a member of the family of insulin-like tyrosine kinase receptors involved in the oncogenesis of several tumor types. 2,500 potential ALK inhibitors were selected by the ligand-based approach. The Life Chemicals HTS Compound Collection was searched for structural analogs of the compounds from the reference set, using several 2D similarity methods.