MetaLLM: residue-wise metal ion prediction using deep transformer model

Fairuz Shadmani Shishir; Bishnu Sarker; Farzana Rahman; Sumaiya Shomaji

doi:10.1007/978-3-031-34960-7_4

MetaLLM: residue-wise metal ion prediction using deep transformer model

Fairuz Shadmani Shishir, Bishnu Sarker, Farzana Rahman, Sumaiya Shomaji

Research output: Contribution to conference › Paper › peer-review

1 Downloads (Pure)

Original language	English
DOIs	https://doi.org/10.1007/978-3-031-34960-7_4
Publication status	Published - 13 Jul 2023
Event	10th International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO 2023) - Meloneras, Gran Canaria, Spain Duration: 12 Jul 2023 → 14 Jul 2023

Conference

Conference	10th International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO 2023)
Period	12/07/23 → 14/07/23

Bibliographical note

Note: Published in: Rojas, Ignacio, Valenzuela, Olga, Rojas Ruiz, Fernando, Herrera, Luis Javier and Ortuño, Francisco (eds.) (2023) Bioinformatics and Biomedical Engineering : 10th International Work-Conference, IWBBIO 2023, Meloneras, Gran Canaria, Spain, July 12-14, 2023, Proceedings, Part II. Cham, Switzerland : Springer. pp. 42-55. (Lecture Notes in Computer Science, vol. 13920) Series ISSN (print) 0302-9743 Series ISSN (online) 1611-3349 ISBN (print) 9783031349591 ISBN (online) 9783031349607.

Keywords

Computer science and informatics

Access to Document

10.1007/978-3-031-34960-7_4

Rahman-F-54222-AAMAccepted author manuscript, 441 KBLicence: Unspecified

https://doi.org/10.1007/978-3-031-34960-7_4

1 Conference contribution

MetaLLM: residue-wise metal ion prediction using deep transformer model
Rahman, F., Shomaji, S., Sarker, B. & Shishir, F. S., 13 Jul 2023, Published in: Rojas, Ignacio, Valenzuela, Olga, Rojas Ruiz, Fernando, Herrera, Luis Javier and Ortuño, Francisco (eds.) (2023) Bioinformatics and Biomedical Engineering : 10th International Work-Conference, IWBBIO 2023, Meloneras, Gran Canaria, Spain, July 12-14, 2023, Proceedings, Part II. Cham, Switzerland : Springer. pp. 42-55. (Lecture Notes in Computer Science, vol. 13920) Series ISSN (print) 0302-9743 Series ISSN (online) 1611-3349 ISBN (print) 9783031349591 ISBN (online) 9783031349607.. p. 42-55
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Cite this

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title = "MetaLLM: residue-wise metal ion prediction using deep transformer model",

keywords = "Computer science and informatics",

author = "Shishir, \{Fairuz Shadmani\} and Bishnu Sarker and Farzana Rahman and Sumaiya Shomaji",

note = "Note: Published in: Rojas, Ignacio, Valenzuela, Olga, Rojas Ruiz, Fernando, Herrera, Luis Javier and Ortu{\~n}o, Francisco (eds.) (2023) Bioinformatics and Biomedical Engineering : 10th International Work-Conference, IWBBIO 2023, Meloneras, Gran Canaria, Spain, July 12-14, 2023, Proceedings, Part II. Cham, Switzerland : Springer. pp. 42-55. (Lecture Notes in Computer Science, vol. 13920) Series ISSN (print) 0302-9743 Series ISSN (online) 1611-3349 ISBN (print) 9783031349591 ISBN (online) 9783031349607.; 10th International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO 2023) ; Conference date: 12-07-2023 Through 14-07-2023",

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AU - Shomaji, Sumaiya

N1 - Note: Published in: Rojas, Ignacio, Valenzuela, Olga, Rojas Ruiz, Fernando, Herrera, Luis Javier and Ortuño, Francisco (eds.) (2023) Bioinformatics and Biomedical Engineering : 10th International Work-Conference, IWBBIO 2023, Meloneras, Gran Canaria, Spain, July 12-14, 2023, Proceedings, Part II. Cham, Switzerland : Springer. pp. 42-55. (Lecture Notes in Computer Science, vol. 13920) Series ISSN (print) 0302-9743 Series ISSN (online) 1611-3349 ISBN (print) 9783031349591 ISBN (online) 9783031349607.

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