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 |
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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 | |
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 |
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Volumen | 438 LNNS |
ISSN (versión impresa) | 2367-3370 |
ISSN (versión digital) | 2367-3389 |
Conferencia
Conferencia | Future of Information and Communication Conference, FICC 2022 |
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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.