| What it does | Encoding Human Expertise into Machines
| One-click molecular docking with AutoDock Vina in your browser
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| Stage | Not given
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| Founded | Not given
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| Based in | US
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| Pricing model | Not given
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| Pricing | Not given
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| Key features | - Converse-STT Benchmark for speech-to-text evaluation
- Converse-Diarization Benchmark for speaker attribution
- Expert network with domain specialists
- Audiovisual conversational datasets
- Multilingual conversational AI datasets
- Open-source model post-training research
| - Automated receptor and ligand preparation via Meeko
- Batch screening up to 300 ligands per job
- Publication-ready PDF reports with embedded figures
- 2D and 3D interaction diagrams with PLIP
- PoseBusters automated pose quality validation
- ADMET analysis including Lipinski, Veber, and QED
- Custom docking box definition with 3D visualization
- Co-crystal redock validation against crystal poses
- Interactive 3D viewer for pose inspection
- Optional PyMOL publication-quality binding site rendering
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| What makes it different | - Real-world conversational data from elite professionals
- Multimodal and multilingual expertise encoding
- Rigorous benchmarking with open-source evaluation tools
- Custom data pipelines for each discipline and accent
- Focus on nuance beyond scale, capturing lived experience
| - No software installation or local computing required
- Fully reproducible, documented pipeline with exact software versions recorded per job
- Automated Methods text and citations ready for manuscript submission
- Batch parallel docking with per-ligand failure tolerance
- Secure cloud processing with immediate data deletion after job completion
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| Community votes | 1 | 0 |
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| DR (Domain Rating by Ahrefs) | 27 ● no change since last check | 2 ● no change since last check |
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| Trust Flow (Majestic) | 4 | 0 |
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| Citation Flow (Majestic) | 32 | 17 |
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| Referring domains (Majestic) | 264 | 9 |
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Ocular AI
Dock