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 congresoContribución a la conferenciarevisión 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 originalInglés
Título de la publicación alojadaAdvances in Information and Communication - Proceedings of the 2022 Future of Information and Communication Conference, FICC
EditoresKohei Arai
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas604-616
Número de páginas13
ISBN (versión impresa)9783030980115
DOI
EstadoPublicada - 2022
Publicado de forma externa
EventoFuture of Information and Communication Conference, FICC 2022 - Virtual, Online
Duración: 3 mar. 20224 mar. 2022

Serie de la publicación

NombreLecture Notes in Networks and Systems
Volumen438 LNNS
ISSN (versión impresa)2367-3370
ISSN (versión digital)2367-3389

Conferencia

ConferenciaFuture of Information and Communication Conference, FICC 2022
CiudadVirtual, Online
Período3/03/224/03/22

Nota bibliográfica

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

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