By leveraging this technology we were able to rapidly identify and index 3,623,248 unique chemical structures from 4,375,036 US Patents and Patent Applications.

Sep 25, 2006 · In this paper we describe a system that leverages text mining techniques to annotate and index chemical entities, provide graphical document ...

We developed a system that allows users to explore the US Patent corpus using molecular information. The core of our system contains three main technologies: A ...

Oct 22, 2024 · We developed a system that allows users to explore the US Patent corpus using molecular information. The core of our system contains three main ...

A system that allows users to explore the US Patent corpus using molecular information, and proves that this is a far more effective way for identifying IP ...

17,18 LLMs have been used in this way to help evaluate functional relevance of results from a machine learning-based chemical similarity search.19 This may ...

A similarity search, which is in relatively wide use for individual molecules, is very rarely applied to chemical reactions because of two main problems.

Dec 8, 2023 · Here, we describe a CLM-based chemical similarity search that identifies structurally dissimilar molecules with similar patent-derived function ...

Aug 2, 2024 · A molecule can be searched with as-drawn, similarity, or substructure search, and a list of patents referencing the molecule is retrieved. On ...

Material Type. 記事 ; Title. Mining patents using molecular similarity search ; Author Heading. RHODES James ; Publication Date. 2007 ; Publication Date (W3CDTF).