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Merge pull request #75 from josejimenezluna/update_links
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Updated links
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josejimenezluna authored Dec 17, 2021
2 parents 6d2a06e + 5b10d87 commit 9436031
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2 changes: 1 addition & 1 deletion README.md
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![License: AGPL v3](https://img.shields.io/badge/License-AGPL%20v3-blue.svg)

## Overview
The DelFTa application is an easy-to-use, open-source toolbox for predicting quantum-mechanical properties of drug-like molecules. Using either ∆-learning (with a GFN2-xTB baseline) or direct-learning (without a baseline), the application accurately approximates DFT reference values (*ω*B97X-D/def2-SVP). It employs state-of-the-art E(3)-equivariant graph neural networks trained on the QMugs dataset of quantum-mechanical properties, and can predict formation and orbital energies, dipoles, Mulliken partial charges and Wiberg bond orders. See the [paper](https://chemrxiv.org/engage/chemrxiv/article-details/612faa02abeb63218cc5f6f1) for more details.
The DelFTa application is an easy-to-use, open-source toolbox for predicting quantum-mechanical properties of drug-like molecules. Using either ∆-learning (with a GFN2-xTB baseline) or direct-learning (without a baseline), the application accurately approximates DFT reference values (*ω*B97X-D/def2-SVP). It employs 3D message-passing neural networks trained on the QMugs dataset of quantum-mechanical properties, and can predict formation and orbital energies, dipoles, Mulliken partial charges and Wiberg bond orders. See the [paper](https://chemrxiv.org/engage/chemrxiv/article-details/612faa02abeb63218cc5f6f1) for more details (version 1.0.0 used in this work).

## Installation

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2 changes: 1 addition & 1 deletion conda-recipe/meta.yaml
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package:
name: "delfta"
version: "0.8.0"
version: "1.0.0"

source:
path: ../
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14 changes: 10 additions & 4 deletions delfta/download.py
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from delfta.net_utils import DEVICE
from delfta.utils import DATA_PATH, LOGGER, ROOT_PATH

DATASET_REMOTE = "https://polybox.ethz.ch/index.php/s/xIzHH8O3AMSZeAz/download"
DATASET_REMOTE = (
"https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/520329/qmugs.tar.gz?sequence=1&isAllowed=y"
)

MODELS = {
"multitask_delta": "multitask_delta.pt",
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"wbo_direct": "wbo_direct.pt",
}

MODELS_REMOTE = "https://polybox.ethz.ch/index.php/s/FqYtDgi0KkJgrrr/download"
MODELS_REMOTE = (
"https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/520281/models.tar.gz?sequence=6&isAllowed=y"
)

UTILS_REMOTE = "https://polybox.ethz.ch/index.php/s/AhttHxXEcMHsSlM/download"
UTILS_REMOTE = (
"https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/520281/utils.tar.gz?sequence=8&isAllowed=y"
)

TESTS_REMOTE = "https://polybox.ethz.ch/index.php/s/hF1apux3YJOre6i/download"
TESTS_REMOTE = "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/520329/test_data.tar.gz?sequence=2&isAllowed=y"


def download(src, dest):
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2 changes: 1 addition & 1 deletion setup.py
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setup(
name="delfta",
version="0.8.0",
version="1.0.0",
description="delfta",
classifiers=["Development Status :: 2 - Pre-Alpha", "Topic :: Scientific/Engineering :: Mathematics"],
keywords=[],
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