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

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

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

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

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Original language	English
Title of host publication	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.
Pages	42-55
DOIs	https://doi.org/10.1007/978-3-031-34960-7_4
Publication status	Published - 13 Jul 2023

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 Paper

MetaLLM: residue-wise metal ion prediction using deep transformer model
Shishir, F. S., Sarker, B., Rahman, F. & Shomaji, S., 13 Jul 2023.
Research output: Contribution to conference › Paper › peer-review

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Rahman, F., Shomaji, S., Sarker, B., & Shishir, F. S. (2023). MetaLLM: residue-wise metal ion prediction using deep transformer model. In 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. (pp. 42-55) https://doi.org/10.1007/978-3-031-34960-7_4

Rahman, Farzana ; Shomaji, Sumaiya ; Sarker, Bishnu et al. / MetaLLM : residue-wise metal ion prediction using deep transformer model. 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.. 2023. pp. 42-55

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

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.",

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Rahman, F, Shomaji, S, Sarker, B & Shishir, FS 2023, MetaLLM: residue-wise metal ion prediction using deep transformer model. in 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.. pp. 42-55. https://doi.org/10.1007/978-3-031-34960-7_4

MetaLLM: residue-wise metal ion prediction using deep transformer model. / Rahman, Farzana; Shomaji, Sumaiya; Sarker, Bishnu et al.
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.. 2023. p. 42-55.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - MetaLLM

T2 - residue-wise metal ion prediction using deep transformer model

AU - Rahman, Farzana

AU - Shomaji, Sumaiya

AU - Sarker, Bishnu

AU - Shishir, Fairuz Shadmani

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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BT - 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.

ER -

Rahman F, Shomaji S, Sarker B, Shishir FS. MetaLLM: residue-wise metal ion prediction using deep transformer model. In 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.. 2023. p. 42-55 Epub 2023 Jun 29. doi: 10.1007/978-3-031-34960-7_4