ArgosMol: A Web Tool for Protein Structure Prediction and Visualization

E. Sejje Condori; J. Soncco Lupa; S. Barrios Cornejo; V. Machaca Arceda

doi:10.1007/978-3-030-98012-2_43

ArgosMol: A Web Tool for Protein Structure Prediction and Visualization

E. Sejje Condori, J. Soncco Lupa, S. Barrios Cornejo, V. Machaca Arceda

Resultado de la investigación: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

Resumen

ArgosMol is a 3D molecular visualization tool designed to predict and visualize protein structures. ArgosMol allows loading molecular structure files in.pdb format and amino acid sequence files in Fasta and/or a3m format to generate a permanent link with the representation of the structure that the user can then manipulate. ArgosMol has several intuitive options for the visualization of the structure, such as different visualization forms, tags, a variety of colour schemes, amino acid search engine, and chain management. For the prediction of the protein structure, HH-Suite tool and the Profold architecture were integrated. Finally, we compared the functionalities of ArgosMol with other visualization tools.

Idioma original	Inglés
Título de la publicación alojada	Advances in Information and Communication - Proceedings of the 2022 Future of Information and Communication Conference, FICC
Editores	Kohei Arai
Editorial	Springer Science and Business Media Deutschland GmbH
Páginas	604-616
Número de páginas	13
ISBN (versión impresa)	9783030980115
DOI	https://doi.org/10.1007/978-3-030-98012-2_43
Estado	Publicada - 2022
Publicado de forma externa	Sí
Evento	Future of Information and Communication Conference, FICC 2022 - Virtual, Online Duración: 3 mar. 2022 → 4 mar. 2022

Serie de la publicación

Nombre	Lecture Notes in Networks and Systems
Volumen	438 LNNS
ISSN (versión impresa)	2367-3370
ISSN (versión digital)	2367-3389

Conferencia

Conferencia	Future of Information and Communication Conference, FICC 2022
Ciudad	Virtual, Online
Período	3/03/22 → 4/03/22

Nota bibliográfica

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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10.1007/978-3-030-98012-2_43

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Condori, E. S., Lupa, J. S., Cornejo, S. B., & Arceda, V. M. (2022). ArgosMol: A Web Tool for Protein Structure Prediction and Visualization. En K. Arai (Ed.), Advances in Information and Communication - Proceedings of the 2022 Future of Information and Communication Conference, FICC (pp. 604-616). (Lecture Notes in Networks and Systems; Vol. 438 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-98012-2_43

Condori, E. Sejje ; Lupa, J. Soncco ; Cornejo, S. Barrios et al. / ArgosMol : A Web Tool for Protein Structure Prediction and Visualization. Advances in Information and Communication - Proceedings of the 2022 Future of Information and Communication Conference, FICC. editor / Kohei Arai. Springer Science and Business Media Deutschland GmbH, 2022. pp. 604-616 (Lecture Notes in Networks and Systems).

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title = "ArgosMol: A Web Tool for Protein Structure Prediction and Visualization",

abstract = "ArgosMol is a 3D molecular visualization tool designed to predict and visualize protein structures. ArgosMol allows loading molecular structure files in.pdb format and amino acid sequence files in Fasta and/or a3m format to generate a permanent link with the representation of the structure that the user can then manipulate. ArgosMol has several intuitive options for the visualization of the structure, such as different visualization forms, tags, a variety of colour schemes, amino acid search engine, and chain management. For the prediction of the protein structure, HH-Suite tool and the Profold architecture were integrated. Finally, we compared the functionalities of ArgosMol with other visualization tools.",

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Condori, ES, Lupa, JS, Cornejo, SB & Arceda, VM 2022, ArgosMol: A Web Tool for Protein Structure Prediction and Visualization. En K Arai (ed.), Advances in Information and Communication - Proceedings of the 2022 Future of Information and Communication Conference, FICC. Lecture Notes in Networks and Systems, vol. 438 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 604-616, Future of Information and Communication Conference, FICC 2022, Virtual, Online, 3/03/22. https://doi.org/10.1007/978-3-030-98012-2_43

ArgosMol : A Web Tool for Protein Structure Prediction and Visualization. / Condori, E. Sejje; Lupa, J. Soncco; Cornejo, S. Barrios et al.

Advances in Information and Communication - Proceedings of the 2022 Future of Information and Communication Conference, FICC. ed. / Kohei Arai. Springer Science and Business Media Deutschland GmbH, 2022. p. 604-616 (Lecture Notes in Networks and Systems; Vol. 438 LNNS).

Resultado de la investigación: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - ArgosMol

AU - Condori, E. Sejje

AU - Lupa, J. Soncco

AU - Cornejo, S. Barrios

AU - Arceda, V. Machaca

PY - 2022

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N2 - ArgosMol is a 3D molecular visualization tool designed to predict and visualize protein structures. ArgosMol allows loading molecular structure files in.pdb format and amino acid sequence files in Fasta and/or a3m format to generate a permanent link with the representation of the structure that the user can then manipulate. ArgosMol has several intuitive options for the visualization of the structure, such as different visualization forms, tags, a variety of colour schemes, amino acid search engine, and chain management. For the prediction of the protein structure, HH-Suite tool and the Profold architecture were integrated. Finally, we compared the functionalities of ArgosMol with other visualization tools.

AB - ArgosMol is a 3D molecular visualization tool designed to predict and visualize protein structures. ArgosMol allows loading molecular structure files in.pdb format and amino acid sequence files in Fasta and/or a3m format to generate a permanent link with the representation of the structure that the user can then manipulate. ArgosMol has several intuitive options for the visualization of the structure, such as different visualization forms, tags, a variety of colour schemes, amino acid search engine, and chain management. For the prediction of the protein structure, HH-Suite tool and the Profold architecture were integrated. Finally, we compared the functionalities of ArgosMol with other visualization tools.

KW - Neural networks

KW - Prediction

KW - Protein structure

KW - Visualization

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M3 - Contribución a la conferencia

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SN - 9783030980115

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Condori ES, Lupa JS, Cornejo SB, Arceda VM. ArgosMol: A Web Tool for Protein Structure Prediction and Visualization. En Arai K, editor, Advances in Information and Communication - Proceedings of the 2022 Future of Information and Communication Conference, FICC. Springer Science and Business Media Deutschland GmbH. 2022. p. 604-616. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-030-98012-2_43

ArgosMol: A Web Tool for Protein Structure Prediction and Visualization

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