GPT4 aided biomaterials research use case: stabilization of selenium nanoparticles with proteins: Abstract
2024
Преузимање 🢃
Конференцијски прилог (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
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 intelligence / prompt engineering / GPT4Извор:
Hemijska industrija, 2024, 78, 1S (2024): Supplementary Issue - ExcellMater Conference 2024, 68-68Финансирање / пројекти:
- Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200175 (Институт техничких наука САНУ, Београд) (RS-MESTD-inst-2020-200175)
Напомена:
URI
https://www.ache-pub.org.rs/index.php/HemInd/article/view/1315https://dais.sanu.ac.rs/123456789/16563
Институција/група
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/123456789/16563 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. C3 - Hemijska industrija T1 - GPT4 aided biomaterials research use case: stabilization of selenium nanoparticles with proteins: Abstract SP - 68 EP - 68 VL - 78 IS - 1S (2024): Supplementary Issue - ExcellMater Conference 2024 UR - https://hdl.handle.net/21.15107/rcub_dais_16563 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.", journal = "Hemijska industrija", title = "GPT4 aided biomaterials research use case: stabilization of selenium nanoparticles with proteins: Abstract", pages = "68-68", volume = "78", number = "1S (2024): Supplementary Issue - ExcellMater Conference 2024", url = "https://hdl.handle.net/21.15107/rcub_dais_16563" }
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, 78(1S (2024): Supplementary Issue - ExcellMater Conference 2024), 68-68. https://hdl.handle.net/21.15107/rcub_dais_16563
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;78(1S (2024): Supplementary Issue - ExcellMater Conference 2024):68-68. https://hdl.handle.net/21.15107/rcub_dais_16563 .
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, 78, no. 1S (2024): Supplementary Issue - ExcellMater Conference 2024 (2024):68-68, https://hdl.handle.net/21.15107/rcub_dais_16563 .