Cargando…
Data on the application of the molecular vector machine model: A database of protein pentafragments and computer software for predicting and designing secondary protein structures
Based on ideas about the molecular vector machine of proteins [1], a database of protein pentafragments has been created and algorithms have been proposed for predicting the secondary structure of proteins according to their primary structure and for designing the primary protein structure for a giv...
Autor principal: | Karasev, Vladimir |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6911939/ https://www.ncbi.nlm.nih.gov/pubmed/31871975 http://dx.doi.org/10.1016/j.dib.2019.104815 |
Ejemplares similares
-
PLAS-5k: Dataset of Protein-Ligand Affinities from Molecular Dynamics for Machine Learning Applications
por: Korlepara, Divya B., et al.
Publicado: (2022) -
Freely available compound data sets and software tools for chemoinformatics and computational medicinal chemistry applications
por: Hu, Ye, et al.
Publicado: (2012) -
Fit-for-purpose curated database application in mass spectrometry-based targeted protein identification and validation
por: Cheng, Keding, et al.
Publicado: (2014) -
A global bionomic database for the dominant vectors of human malaria
por: Massey, N. Claire, et al.
Publicado: (2016) -
A cone-beam X-ray computed tomography data collection designed for machine learning
por: Der Sarkissian, Henri, et al.
Publicado: (2019)