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A General Framework to Learn Tertiary Structure for Protein Sequence Characterization

During the past five years, deep-learning algorithms have enabled ground-breaking progress towards the prediction of tertiary structure from a protein sequence. Very recently, we developed SAdLSA, a new computational algorithm for protein sequence comparison via deep-learning of protein structural a...

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Detalles Bibliográficos
Autores principales: Gao, Mu, Skolnick, Jeffrey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8301223/
https://www.ncbi.nlm.nih.gov/pubmed/34308415
http://dx.doi.org/10.3389/fbinf.2021.689960