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

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

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.

Original language	English
Title of host publication	Advances in Information and Communication - Proceedings of the 2022 Future of Information and Communication Conference, FICC
Editors	Kohei Arai
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	604-616
Number of pages	13
ISBN (Print)	9783030980115
DOIs	https://doi.org/10.1007/978-3-030-98012-2_43
State	Published - 2022
Externally published	Yes
Event	Future of Information and Communication Conference, FICC 2022 - Virtual, Online Duration: 3 Mar 2022 → 4 Mar 2022

Publication series

Name	Lecture Notes in Networks and Systems
Volume	438 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	Future of Information and Communication Conference, FICC 2022
City	Virtual, Online
Period	3/03/22 → 4/03/22

Bibliographical note

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

Keywords

Neural networks
Prediction
Protein structure
Visualization

Access to Document

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

Cite this

Condori, E. S., Lupa, J. S., Cornejo, S. B., & Arceda, V. M. (2022). ArgosMol: A Web Tool for Protein Structure Prediction and Visualization. In 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 ; Arceda, V. Machaca. / 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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Condori, ES, Lupa, JS, Cornejo, SB & Arceda, VM 2022, ArgosMol: A Web Tool for Protein Structure Prediction and Visualization. in 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; Arceda, V. Machaca.

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).

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

TY - GEN

T1 - ArgosMol

AU - Condori, E. Sejje

AU - Lupa, J. Soncco

AU - Cornejo, S. Barrios

AU - Arceda, V. Machaca

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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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Condori ES, Lupa JS, Cornejo SB, Arceda VM. ArgosMol: A Web Tool for Protein Structure Prediction and Visualization. In 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). https://doi.org/10.1007/978-3-030-98012-2_43

ArgosMol: A Web Tool for Protein Structure Prediction and Visualization

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