Utilizing Low-Dimensional Molecular Embeddings for Rapid Chemical Similarity Search.

Kathryn E. Kirchoff|James Wellnitz|Joshua E. Hochuli|Travis Maxfield|Konstantin I. Popov|Shawn M. Gomez|Alexander Tropsha


Anthology ID:DBLP:conf/ecir/KirchoffWHMPGT24
Volume:Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part II
Year:2024
Venue:European Conference on Advances in Information Retrieval (ECIR)
Publisher:Springer
Pages:34-49
URL:https://doi.org/10.1007/978-3-031-56060-6_3
DOI:https://doi.org/10.1007/978-3-031-56060-6_3
DBLP:conf/ecir/KirchoffWHMPGT24
BibTeX:
@inproceedings{kirchoff-2024-utilizing, author = {Kathryn E. Kirchoff and James Wellnitz and Joshua E. Hochuli and Travis Maxfield and Konstantin I. Popov and Shawn M. Gomez and Alexander Tropsha}, editor = {Nazli Goharian and Nicola Tonellotto and Yulan He and Aldo Lipani and Graham McDonald and Craig Macdonald and Iadh Ounis}, title = {{Utilizing Low-Dimensional Molecular Embeddings for Rapid Chemical Similarity Search}}, booktitle = {{Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part II}}, series = {Lecture Notes in Computer Science}, volume = {14609}, pages = {34--49}, publisher = {Springer}, year = {2024}, url = {https://doi.org/10.1007/978-3-031-56060-6_3}, doi = {https://doi.org/10.1007/978-3-031-56060-6_3} }