diff --git a/README.md b/README.md index 542f4ac..1ac03e4 100644 --- a/README.md +++ b/README.md @@ -6,11 +6,11 @@ We have now developed [DeepRank2](https://github.com/DeepRank/deeprank2), an imp :sparkles: DeepRank2 allows for transformation and storage of 3D representations of both protein-protein interfaces (PPIs) and protein single-residue variants (SRVs) into either graphs or volumetric grids containing structural and physico-chemical information. These can be used for training neural networks for a variety of patterns of interest, using either our pre-implemented training pipeline for graph neural networks (GNNs) or convolutional neural networks (CNNs) or external pipelines. -- :wrench: **Pull Requests** at github.com/DeepRank/deeprank2 -- :bug: **Bugs**: Reports of bugs can be filed agains our new repo github.com/DeepRank/deeprank2 -- :star: **Feature Requests**: Add your request or discuss the project w/ the community at github.com/DeepRank/deeprank2 +- :wrench: **Pull Requests** at [github.com/DeepRank/deeprank2/pulls](https://github.com/DeepRank/deeprank2/pulls) +- :bug: **Bugs**: Reports of bugs can be filed agains our new repo [github.com/DeepRank/deeprank2/issues](https://github.com/DeepRank/deeprank2/issues) +- :star: **Feature Requests**: Add your request or discuss the project w/ the community at [github.com/DeepRank/deeprank2/issues](https://github.com/DeepRank/deeprank2/issues) -We look forward to seeing you in our new spaces! +We look forward to seeing you in our new space - [DeepRank2](https://github.com/DeepRank/deeprank2)! # DeepRank [![PyPI](https://img.shields.io/pypi/v/deeprank)](https://pypi.org/project/deeprank/) @@ -37,8 +37,6 @@ DeepRank is a general, configurable deep learning framework for data mining prot DeepRank contains useful APIs for pre-processing PPIs data, computing features and targets, as well as training and testing CNN models. -We recently developed [DeepRank2](https://github.com/DeepRank/deeprank2), an upgraded package that includes all the functionalities of DeepRank and more. - #### Features: - Predefined atom-level and residue-level PPI feature types