MegaUni 10M Virtual Diversity Library
| Cat. No. : CS-L912V0 |
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|     (10,000,000) |
| Library Contents: |
| With ChemScene's 40,662 BBs, covering around 273 reaction types, more than 40 million molecules were generated. Compounds which comply with Ro5 criteria were selected. Inappropriate chemical structures, such as PAINS motifs and synthetically difficult accessible, were removed. Based on Morgan Fingerprint, molecular clustering analysis was carried out, and molecules close to each clustering center were extracted to form this drug-like and synthesizable diversity library. These selected molecules have 805,822 unique Bemis-Murcko Scaffolds (BMS) with diversified chemical space. This library is highly recommended for AI-based lead discovery, ultra-large virtual screening and novel lead discovery. |
| Size (Pre-dissolved DMSO or Solid) | Stock | Price |
|---|---|---|
| In-stock | Get quote |
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Description & Advantages
Composition
| Formulation: | A collection of 10,000,000 synthesizable drug-like diverse compounds. Suitable for AI-based drug screening, large-scale virtual screening, and novel lead discovery. |
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| Storage: | -80°C |
| Shipping: | Blue ice or dry ice |
• All the compounds come from MCE's 40,662 Building Blocks: easy to synthesize via standard 1-2 step procedures and suitable for high throughput synthesis;
• 805,822 unique Bemis-Murcko Scaffolds (BMS);
• All compounds compatible with “Lipinski’s Rule of Five”, with multiple characteristics such as calculated lipophilicity (-3.2≤logP≤5), rotatable bonds (RotB≤10), topological polar surface area (PSA ≤120), 200≤MW≤500, number of Hydrogen Bond Donor (HBD)≤5, number of Hydrogen Bond Acceptor (HBA)≤10;
• To increase the synthetic accessibility and drug-like properties, compounds were removed with SAScore > 6 or QED > 0.4;
• Compounds passed all MedChem selection filters, particularly pan assay interference compound (PAINS) motifs, to remove any inappropriate chemical structures and avoid false hits.
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