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Join our 51 “founding chemists” program for free access, exclusive events, and rewards for usage milestones.
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Gather chemical data, convert PDF to SMILES, summarize and interact with articles.
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Locate pockets and strategize investigation guided by a chem-aware AI.
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The world's best docking finally made easy. It's as simple as a conversation.
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Access molecular data, simulate, and analyze protein-ligand interactions at scale with a powerful drug discovery API built for computational chemists.
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ref. 1. https://pubs.acs.org/doi/10.1021/acs.jcim.8b00545, benchmark data available at http://www.pdbbind.org.cn/index.php, used for comparability with prior results
2. https://www.pharmchem.uni-tuebingen.de/dekois/, "DEKOIS 2.0: Demanding Evaluation Kits for Objective In silico Screening"
ref. 1. TDC.Solubility_AqSolDB
2. Ulrich N., Goss K. U., Ebert A. Exploring the octanol–water partition coefficient dataset using deep learning techniques and data augmentation // Communications Chemistry. – 2021. – Т. 4. – №. 1. – С. 90.
3. TDC.Lipophilicity_AstraZeneca
Balto uses Deep Origin’s proprietary algorithms for docking, properties predictions and finding novel pockets. Balto also relies on a few open-source tools and databases such as MolStar, PDB and ChEMBL.
Although Balto hallucinations are very rare, it is advisable to verify the information that Balto provides.
Free trial includes 50 credits. These many credits are enough to:
Dock and find poses for up to 410 molecules
Predict up to 910 molecular properties
Find novel pockets for up to 10 proteins
Analyze up to 305 pages of PDF documents
You can also explore countless free actions such as:
Pose overlays and protein visualizations
Querying of integrated public databases
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