scholarly article | Q13442814 |
P356 | DOI | 10.1016/J.JMGM.2020.107691 |
P698 | PubMed publication ID | 32739640 |
P2093 | author name string | P Sankar | |
K Umavathy | |||
P2860 | cites work | The Chemical Information Ontology: provenance and disambiguation for chemical data on the biological semantic web | Q27062312 |
Structure-based classification and ontology in chemistry | Q27499224 | ||
Chemical Markup, XML, and the Worldwide Web. 1. Basic Principles | Q27783585 | ||
SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules | Q28090714 | ||
Chemical Markup, XML and the World-Wide Web. 2. Information Objects and the CMLDOM | Q28837897 | ||
Glossary of terms used in physical organic chemistry (IUPAC Recommendations 1994) | Q55883735 | ||
SMILES. 3. DEPICT. Graphical depiction of chemical structures | Q56066313 | ||
Predicting Retrosynthetic Reactions Using Self-Corrected Transformer Neural Networks | Q91876087 | ||
OntoKin: An Ontology for Chemical Kinetic Reaction Mechanisms | Q92042406 | ||
P304 | page(s) | 107691 | |
P577 | publication date | 2020-07-24 | |
P1433 | published in | Journal of Molecular Graphics & Modelling | Q3186928 |
P1476 | title | Ontology based conceptual models for predicting fundamental organic reactivity | |
P478 | volume | 100 |
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