Lukač, Sara

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Authority KeyName Variants
orcid::0009-0009-9491-8712
  • Lukač, Sara (2)
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Author's Bibliography

GPT4 aided biomaterials research use case: stabilization of selenium nanoparticles with proteins: Abstract

Stojanović, Zoran; Filipović, Nenad; Kuzmanović, Maja; Lukač, Sara; Stevanović, Magdalena

(2024)

TY  - 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 .

GPT4 aided biomaterials research use case: stabilization of selenium nanoparticles with proteins: Abstract

Stojanović, Zoran; Filipović, Nenad; Kuzmanović, Maja; Lukač, Sara; Stevanović, Magdalena

(2024)

TY  - 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 .