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Aguilera-Mendoza et al., 2020 - Google Patents

Automatic construction of molecular similarity networks for visual graph mining in chemical space of bioactive peptides: an unsupervised learning approach

Aguilera-Mendoza et al., 2020

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Document ID
3626385239516336543
Author
Aguilera-Mendoza L
Marrero-Ponce Y
Garcia-Jacas C
Chavez E
Beltran J
Guillen-Ramirez H
Brizuela C
Publication year
Publication venue
Scientific reports

External Links

Snippet

The increasing interest in bioactive peptides with therapeutic potentials has been reflected in a large variety of biological databases published over the last years. However, the knowledge discovery process from these heterogeneous data sources is a nontrivial task …
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    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • G06F19/16—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for molecular structure, e.g. structure alignment, structural or functional relations, protein folding, domain topologies, drug targeting using structure data, involving two-dimensional or three-dimensional structures
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