Registry NameRXN Proprietary

The nomenclature used for named reactions in text mining software from NextMove. While it's proprietary, there are a few publications listing parts. 487/1,855 have mappings to the Reaction Ontology (RXNO).

This resource is proprietary. This means that it is not freely and publicly available without restriction. Such resources are still valuable to include in the Semantic Farm as they may appear in other non-proprietary resources.

Prefix: namerxn
Keywords: chemistry reactions text mining
Links: Homepage
Publications: 2016 Big Data from Pharmaceutical Patents: A Computational Analysis of Medicinal Chemists' Bread and Butter; 2021 Mapping the space of chemical reactions using attention-based neural networks
References: Other https://www.nextmovesoftware.com/products/HazELNutPoster.pdf; Tweet https://twitter.com/cthoyt/status/1443929184745758723

Identifier Standards

Pattern for Local Unique Identifiers: Missing LUI pattern
Example Local Unique Identifier: 4.2.78
Example CURIE: namerxn:4.2.78

Contacts

Contact: Gregory Landrum 0000-0001-6279-4481 greglandrum
Contributors: submitter Charles Tapley Hoyt 0000-0003-4423-4370 cthoyt

Providers

Suggest

A provider turns a local unique identifiers from a resource into a URI. Many providers are also resolvable as URLs (i.e., they can be used in a web browser).

This resource does not have any providers. Please consider contributing one after reading the curation guide.

This name annotation was originally annotated in Bioregistry and is redistributed under the CC0 license.

Get the name:

>>> import bioregistry as br
>>> br.get_name("namerxn")
'NameRXN'

Get the homepage:

>>> import bioregistry as br
>>> br.get_homepage("namerxn")
'https://www.nextmovesoftware.com/namerxn.html'

Get the contact's name:

>>> import bioregistry as br
>>> br.get_contact_name("namerxn")
'Gregory Landrum'

Get the contact's email:

>>> import bioregistry as br
>>> br.get_contact_email("namerxn")
'gregory.landrum@phys.chem.ethz.ch'

Get the contact's GitHub handle:

>>> import bioregistry as br
>>> br.get_contact_github("namerxn")
'greglandrum'

Get the contact's ORCiD identifier:

>>> import bioregistry as br
>>> br.get_contact_orcid("namerxn")
'0000-0001-6279-4481'