Project description

Geometricus Represents Protein Structures as Shape-mers derived from Moment Invariants

A structure-based, alignment-free embedding approach for proteins. Can be used as input to machine learning algorithms.

See the documentation or read the preprint.

Geometricus is a Python (3.7+) package with NumPy, SciPy, Numba and ProDy as dependencies.

Install with pip install geometricus

See the Getting Started page for example usage.

These details have not been verified by PyPI

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

0.3.0

Apr 19, 2022

This version

0.2.0

Oct 16, 2020

0.1.2

Sep 6, 2020

0.1.1

Sep 6, 2020

0.1.0

Sep 6, 2020

0.0.1

Sep 6, 2020

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Uploaded Oct 16, 2020 Source

Uploaded Oct 16, 2020 Python 3

Hashes for geometricus-0.2.0.tar.gz
Algorithm	Hash digest
SHA256	`4f7e17e638f8cd208a7457e6f1909bb40713d8f7ef8dc4364030b1765339d5cb`
MD5	`ef690cd3d787a0b5d42c4f884477d643`
BLAKE2b-256	`ecd7c2e0a8efccbc02a060740dd46d45221cf02bd376c4207558b17ecc4cdc10`

Hashes for geometricus-0.2.0-py3-none-any.whl
Algorithm	Hash digest
SHA256	`462a3abf5c5c8885e9764af18010b3ed8eba0c3c793c5fa8b5ff57a79351ed3e`
MD5	`27ae9f83134b1b9aa1c679b1d774a858`
BLAKE2b-256	`ea0b603f666d8ee462b6f862df61211d0518b91b89fe695e1b6365026f9a1e47`