Ontology based conceptual models for predicting fundamental organic reactivity

scientific article published on 24 July 2020

Ontology based conceptual models for predicting fundamental organic reactivity is …
instance of (P31):
scholarly articleQ13442814

External links are
P356DOI10.1016/J.JMGM.2020.107691
P698PubMed publication ID32739640

P2093author name stringP Sankar
K Umavathy
P2860cites workThe Chemical Information Ontology: provenance and disambiguation for chemical data on the biological semantic webQ27062312
Structure-based classification and ontology in chemistryQ27499224
Chemical Markup, XML, and the Worldwide Web. 1. Basic PrinciplesQ27783585
SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rulesQ28090714
Chemical Markup, XML and the World-Wide Web. 2. Information Objects and the CMLDOMQ28837897
Glossary of terms used in physical organic chemistry (IUPAC Recommendations 1994)Q55883735
SMILES. 3. DEPICT. Graphical depiction of chemical structuresQ56066313
Predicting Retrosynthetic Reactions Using Self-Corrected Transformer Neural NetworksQ91876087
OntoKin: An Ontology for Chemical Kinetic Reaction MechanismsQ92042406
P304page(s)107691
P577publication date2020-07-24
P1433published inJournal of Molecular Graphics & ModellingQ3186928
P1476titleOntology based conceptual models for predicting fundamental organic reactivity
P478volume100

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