As of February 2021, the number of existing compounds is approximately 107,000,000; the number of new chemical compounds is approximately 11,000,000; The number of patents is 25,000,000; the number of papers is 32,000,000; the number of characteristic data is 28,200,000.
We are planning to update the compound database once every six months.

Patents are registered in 105 countries and regions including US, EP, CN, JP, KR, TW and WO, etc.

At the moment, the NLP API is not open to the public. Basically, we only handle publicly available data.

As of February 2021, the database includes information on 36 types of material properties and biochemical properties. It is also possible to output the predicted value concerning each property value.

We are adding them as they develop. In addition, we may be able to add the requested properties by updating the product. Please consult with us for further information.

We adopt a computational method that emphasizes explanatory power, in which features of organic structures and inorganic elements of about 100 dimensions are converted into vectors, and the Euclidean distances between feature vectors are calculated. It is also possible to add weights to each feature.

Both patterns can be explored simultaneously. Not only two systems, A and B, but also up to 4 systems of crossings for mixtures, and up to 64 systems of crossings for structures can be searched. The compound shows patents that commonly include compounds of all specified systems. (As of February　2021)

Yes, both are supported.

Yes, it is supported. It is also possible to specify the degree of polymerization in the search conditions.

Yes, it is possible. If you specify only a small number of properties as search conditions, the number of compounds displayed as search results is likely to be huge; we recommend that you specify multiple properties or specify compounds with properties close to the target properties at the same time.

By predicting properties based on the number of literature distributions that consider the applications of similar compound groups, 15 properties can be predicted with correlation coefficients of 0.71 to 0.95 as of February　2021. Compounds and literature used in the prediction can be confirmed in full English translation from the literature links categorized by property value. Detailed preconditions and production methods can be confirmed for each property value.

No, we do not file patent applications. If you confirm the efficacy of a compound generated by our new compound generation AI, you may file a patent application.