GPT4 aided biomaterials research use case: stabilization of selenium nanoparticles with proteins: Abstract
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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.
Кључне речи:
artificial intelligenceИзвор:
Hemijska industrija, 2024Финансирање / пројекти:
- Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200175 (Институт техничких наука САНУ, Београд) (RS-MESTD-inst-2020-200175)
Напомена:
- Conference abstract: https://hdl.handle.net/21.15107/rcub_dais_16563
- Poster at the ExcellMater Conference 2024
Повезане информације:
- Повезани садржај
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
Колекције
Институција/група
Институт техничких наука САНУ / Institute of Technical Sciences of SASATY - GEN 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. T2 - Hemijska industrija 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 -
@misc{ 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.", journal = "Hemijska industrija", 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. in Hemijska industrija. 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. in Hemijska industrija. 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" in Hemijska industrija (2024), https://hdl.handle.net/21.15107/rcub_dais_16570 .