TY - GEN
T1 - Silver Surfer
T2 - 37th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2024
AU - Marcu, Stefan Bogdan
AU - Mi, Yanlin
AU - Yallapragada, Venkata V.B.
AU - Tangney, Mark
AU - Tabirca, Sabin
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
PY - 2024
Y1 - 2024
N2 - Designing and synthesising proteins with specific physicochemical properties pose significant challenges in biotechnology, environmental sciences, and pharmaceuticals. Recent advancements in machine learning have opened up possibilities but have often been constrained by their focus on limited facets of the multifaceted nature of proteins. This paper presents the Silver Surfer, a new platform utilising a customised genetic algorithm designed to explore the complex space of protein sequences. The Silver Surfer implementation offers a powerful, easily extensible tool to meet diverse scientific needs, operating based on four general-use protein properties: Instability Index, Monoisotopic Mass, Grand Average Hydrophobicity Score, and Isoelectric Point. By harnessing the generative capabilities of genetic algorithms, the Silver Surfer project opens new horizons in protein design.
AB - Designing and synthesising proteins with specific physicochemical properties pose significant challenges in biotechnology, environmental sciences, and pharmaceuticals. Recent advancements in machine learning have opened up possibilities but have often been constrained by their focus on limited facets of the multifaceted nature of proteins. This paper presents the Silver Surfer, a new platform utilising a customised genetic algorithm designed to explore the complex space of protein sequences. The Silver Surfer implementation offers a powerful, easily extensible tool to meet diverse scientific needs, operating based on four general-use protein properties: Instability Index, Monoisotopic Mass, Grand Average Hydrophobicity Score, and Isoelectric Point. By harnessing the generative capabilities of genetic algorithms, the Silver Surfer project opens new horizons in protein design.
KW - Genetic Driven Generation
KW - Parametric Search
KW - Protein Sequence Space
UR - https://www.scopus.com/pages/publications/85200700517
U2 - 10.1007/978-981-97-4677-4_39
DO - 10.1007/978-981-97-4677-4_39
M3 - Conference proceeding
AN - SCOPUS:85200700517
SN - 9789819746767
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 479
EP - 490
BT - Advances and Trends in Artificial Intelligence. Theory and Applications - 37th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2024, Proceedings
A2 - Fujita, Hamido
A2 - Cimler, Richard
A2 - Hernandez-Matamoros, Andres
A2 - Ali, Moonis
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 10 July 2024 through 12 July 2024
ER -