Cargando…
Prot2Prot: a deep learning model for rapid, photorealistic macromolecular visualization
Molecular visualization is a cornerstone of structural biology, providing insights into the form and function of biomolecules that are difficult to achieve any other way. Scientific analysis, publication, education, and outreach often benefit from photorealistic molecular depictions rendered using a...
Autor principal: | Durrant, Jacob D. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9512884/ https://www.ncbi.nlm.nih.gov/pubmed/36008698 http://dx.doi.org/10.1007/s10822-022-00471-4 |
Ejemplares similares
-
SSMap: A new UniProt-PDB mapping resource for the curation of structural-related information in the UniProt/Swiss-Prot Knowledgebase
por: David, Fabrice PA, et al.
Publicado: (2008) -
ProtVista: visualization of protein sequence annotations
por: Watkins, Xavier, et al.
Publicado: (2017) -
On expert curation and scalability: UniProtKB/Swiss-Prot as a case study
por: Poux, Sylvain, et al.
Publicado: (2017) -
ENZYMAP: Exploiting Protein Annotation for Modeling and Predicting EC Number Changes in UniProt/Swiss-Prot
por: Silveira, Sabrina de Azevedo, et al.
Publicado: (2014) -
Collaborative annotation of genes and proteins between UniProtKB/Swiss-Prot and dictyBase
por: Gaudet, P., et al.
Publicado: (2009)