Abstract
CACTUS is an innovative LLM‐based agent that combines the cognitive capabilities of large language models with domain‐specific tools. By integrating
cheminformatics tools, CACTUS assists researchers in tasks such as molecular property prediction, similarity searching, and drug‐likeness assessment.
- Developers:
-
Kumar, Neeraj [1] ; McNaughton, Andrew [1] ; Knutson, Carter [1] ; Varikoti, Rohith [1] ; Kruel, Agustin [1]
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Release Date:
- 2024-06-03
- Project Type:
- Open Source, Publicly Available Repository
- Software Type:
- Scientific
- Licenses:
-
BSD 2-clause "Simplified" License
- Sponsoring Org.:
-
USDOEPrimary Award/Contract Number:AC05-76RL01830
- Code ID:
- 127871
- Site Accession Number:
- Battelle IPID 33073-E
- Research Org.:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Country of Origin:
- United States
Citation Formats
Kumar, Neeraj, McNaughton, Andrew, Knutson, Carter, Varikoti, Rohith, and Kruel, Agustin.
CACTUS.
Computer Software.
https://github.com/pnnl/cactus.
USDOE.
03 Jun. 2024.
Web.
doi:10.11578/dc.20240603.2.
Kumar, Neeraj, McNaughton, Andrew, Knutson, Carter, Varikoti, Rohith, & Kruel, Agustin.
(2024, June 03).
CACTUS.
[Computer software].
https://github.com/pnnl/cactus.
https://doi.org/10.11578/dc.20240603.2.
Kumar, Neeraj, McNaughton, Andrew, Knutson, Carter, Varikoti, Rohith, and Kruel, Agustin.
"CACTUS." Computer software.
June 03, 2024.
https://github.com/pnnl/cactus.
https://doi.org/10.11578/dc.20240603.2.
@misc{
doecode_127871,
title = {CACTUS},
author = {Kumar, Neeraj and McNaughton, Andrew and Knutson, Carter and Varikoti, Rohith and Kruel, Agustin},
abstractNote = {CACTUS is an innovative LLM‐based agent that combines the cognitive capabilities of large language models with domain‐specific tools. By integrating
cheminformatics tools, CACTUS assists researchers in tasks such as molecular property prediction, similarity searching, and drug‐likeness assessment.},
doi = {10.11578/dc.20240603.2},
url = {https://doi.org/10.11578/dc.20240603.2},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20240603.2}},
year = {2024},
month = {jun}
}