GPT4 aided biomaterials research use case: stabilization of selenium nanoparticles with proteins: Abstract
Conference object (Published version)
Metadata
Show full item recordAbstract
Recent advancements in LLMs based on various transformer architectures such as BERT and GPT family models, brought many new possibilities for application in scientific research. The specific architecture and broad knowledge of these models give them the ability to understand concepts, to plan and solve different kinds of problems, including various chemistry-related tasks. In this work, we are evaluating a case of GPT4 performance for recommending proteins suitable for the stabilization of selenium nanoparticles (SeNPs). SeNPs exhibit diverse beneficial bioactivities, including antioxidant, antibacterial, and anticancer properties, and stabilization of SeNPs with suitable proteins may be an effective approach to improve their bioactivities.
Keywords:
artificial intelligence / prompt engineering / GPT4Source:
2024Funding / projects:
- Ministry of Science, Technological Development and Innovation of the Republic of Serbia, institutional funding - 200175 (Institute of Technical Sciences of SASA, Belgrade) (RS-MESTD-inst-2020-200175)
Note:
- Conference abstract: https://hdl.handle.net/21.15107/rcub_dais_16563
- Poster at the ExcellMater Conference 2024
Related info:
- Referenced by
https://hdl.handle.net/21.15107/rcub_dais_16563
URI
https://www.ache-pub.org.rs/index.php/HemInd/article/view/1315https://dais.sanu.ac.rs/123456789/16570
Collections
Institution/Community
Институт техничких наука САНУ / Institute of Technical Sciences of SASATY - CONF AU - Stojanović, Zoran AU - Filipović, Nenad AU - Kuzmanović, Maja AU - Lukač, Sara AU - Stevanović, Magdalena PY - 2024 UR - https://www.ache-pub.org.rs/index.php/HemInd/article/view/1315 UR - https://dais.sanu.ac.rs/123456789/16570 AB - Recent advancements in LLMs based on various transformer architectures such as BERT and GPT family models, brought many new possibilities for application in scientific research. The specific architecture and broad knowledge of these models give them the ability to understand concepts, to plan and solve different kinds of problems, including various chemistry-related tasks. In this work, we are evaluating a case of GPT4 performance for recommending proteins suitable for the stabilization of selenium nanoparticles (SeNPs). SeNPs exhibit diverse beneficial bioactivities, including antioxidant, antibacterial, and anticancer properties, and stabilization of SeNPs with suitable proteins may be an effective approach to improve their bioactivities. T1 - GPT4 aided biomaterials research use case: stabilization of selenium nanoparticles with proteins: Abstract UR - https://hdl.handle.net/21.15107/rcub_dais_16570 ER -
@conference{ author = "Stojanović, Zoran and Filipović, Nenad and Kuzmanović, Maja and Lukač, Sara and Stevanović, Magdalena", year = "2024", abstract = "Recent advancements in LLMs based on various transformer architectures such as BERT and GPT family models, brought many new possibilities for application in scientific research. The specific architecture and broad knowledge of these models give them the ability to understand concepts, to plan and solve different kinds of problems, including various chemistry-related tasks. In this work, we are evaluating a case of GPT4 performance for recommending proteins suitable for the stabilization of selenium nanoparticles (SeNPs). SeNPs exhibit diverse beneficial bioactivities, including antioxidant, antibacterial, and anticancer properties, and stabilization of SeNPs with suitable proteins may be an effective approach to improve their bioactivities.", title = "GPT4 aided biomaterials research use case: stabilization of selenium nanoparticles with proteins: Abstract", url = "https://hdl.handle.net/21.15107/rcub_dais_16570" }
Stojanović, Z., Filipović, N., Kuzmanović, M., Lukač, S.,& Stevanović, M.. (2024). GPT4 aided biomaterials research use case: stabilization of selenium nanoparticles with proteins: Abstract. . https://hdl.handle.net/21.15107/rcub_dais_16570
Stojanović Z, Filipović N, Kuzmanović M, Lukač S, Stevanović M. GPT4 aided biomaterials research use case: stabilization of selenium nanoparticles with proteins: Abstract. 2024;. https://hdl.handle.net/21.15107/rcub_dais_16570 .
Stojanović, Zoran, Filipović, Nenad, Kuzmanović, Maja, Lukač, Sara, Stevanović, Magdalena, "GPT4 aided biomaterials research use case: stabilization of selenium nanoparticles with proteins: Abstract" (2024), https://hdl.handle.net/21.15107/rcub_dais_16570 .