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Lemke et al., 2019 - Google Patents

EncoderMap (II): Visualizing important molecular motions with improved generation of protein conformations

Lemke et al., 2019

Document ID
2968867827319311945
Author
Lemke T
Berg A
Jain A
Peter C
Publication year
Publication venue
Journal of Chemical Information and Modeling

External Links

Snippet

Dimensionality reduction can be used to project high-dimensional molecular data into a simplified, low-dimensional map. One feature of our recently introduced dimensionality reduction technique EncoderMap, which relies on the combination of an autoencoder with …
Continue reading at pubs.acs.org (other versions)

Classifications

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    • 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
    • G—PHYSICS
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