• Stars
    star
    31
  • Rank 797,061 (Top 17 %)
  • Language
    Python
  • License
    MIT License
  • Created over 3 years ago
  • Updated 11 months ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

An open library to work with pharmacophores.

More Repositories

1

action-sphinx-docs-to-gh-pages

GitHub Action: The sphinx documentation in a repository is compiled and deployed to GitHub Pages through the gh-pages branch.
13
star
2

MolSysMT

Open source library to work with molecular systems
Python
12
star
3

action-build-and-upload-conda-packages

GitHub Action: new conda packages are built and uploaded to Anaconda when a new released or pre-released version is declared.
11
star
4

PyPharmer

Python API for Pharmer
HTML
9
star
5

Academia

Este repositorio debe ser el punto de partida y encuentro para cualquier investigador o estudiante que quiera comenzar a trabajar con/en la UIBCDF. Si has ca铆do aqu铆 por otro motivo y este material te es 煤til, eres m谩s que bienvenido a usarlo e interaccionar con nosotros.
Jupyter Notebook
6
star
6

action-html-dir-to-gh-pages

GitHub Action: The gh-pages branch is updated with the content of an html directory to be deployed to GitHub Pages.
3
star
7

BiFrEE

First steps of an open library to estimate binding free energies with the MM/GBSA approach and OpenMM.
Python
3
star
8

OpenENM

Open source library to work with elastic network models
Python
3
star
9

OpenPocket

Jupyter Notebook
2
star
10

Sabueso

Python
2
star
11

Study_Group_Pharmacophores

Pharmacophores Study Group
2
star
12

PyUnitWizard

Assistant to work with physical quantities, units, and python libraries such as Pint, openmm.unit or unyt.
Python
2
star
13

OpenPocket_old

Open Source Library to detect pockets and cavities of proteins
Jupyter Notebook
2
star
14

Taller-Python

Taller de introducci贸n a la programaci贸n en Python
Jupyter Notebook
2
star
15

Pynterpred_old

Python Interface Prediction
Python
1
star
16

Taller-Linux

Introducci贸n al uso y administraci贸n del sistemas operativos tipo Linux para el laboratorio de investigaci贸n cient铆fica.
Python
1
star
17

REMD_testbed

Replica Exchange Testbed
Jupyter Notebook
1
star
18

OpenMM-Reporters

OpenMM reporters implemented by the UIBCDF
Python
1
star
19

Study_Group_MMGBSA

MMGBSA Study Group
1
star
20

OpenInterface

Caracterizaci贸n de interfaces...
Jupyter Notebook
1
star
21

LinDelInt

Linear Delaunay Interpolator
Jupyter Notebook
1
star
22

Clustering

Clustering methods introduction and comparison
Jupyter Notebook
1
star
23

UIBCDF-Standard-Library

Methods with algorithms, tools and shortcuts usually used in the UIBCDF libraries
Python
1
star
24

OpenCTN-Tools

OpenCTN Tools
Jupyter Notebook
1
star
25

KinNetMT

Kinetic transitions networks or Conformational Markov Networks.
Python
1
star
26

DeCAF

Fork from DeCAF by Marta Stepniewska-Dziubinska. https://bitbucket.org/marta-sd/decaf
HTML
1
star
27

GPCRaptor

Tentative seed of an open library to centralize the analysis observables and tools to characterize the structure and dynamics of GPCR proteins. Valid for all-atom and coarse-grained molecular models.
Python
1
star
28

Study_Group_ENM

Elastic Network Models Study Group
1
star
29

Sabueso_old

Python
1
star
30

OpenPocket-Tools

Tests to work with OpenPocket
Jupyter Notebook
1
star
31

EBNA1

First attempt Protein Protein binding energye
Jupyter Notebook
1
star
32

OpenPharmacophore-Tools

OpenPharmacophore Benchmarks
Jupyter Notebook
1
star
33

Developer-Guidelines

Guidelines for developers of Python scientific libraries, GitHub Actions, and other open-source software at the UIBCDF.
Python
1
star
34

OMembrane

Open source library to work with membranes
Rich Text Format
1
star
35

Molecular-Systems

UIBCDF test systems
Python
1
star
36

Evidence

Scientific Python libraries or scripts often work with data coming from a database, a scientific communication, or any other external source. These data, or "evidences", are then supported by external references. Wouldn't be useful to work with "evidences" in your code?
Python
1
star