| D-SCRIPT: Deep Learning PPI Prediction | |
| ======================================= | |
| - `D-SCRIPT Home Page`_ | |
| - `Quick Start <usage.html#quick-start>`_ | |
| D-SCRIPT is a deep learning method for predicting a physical interaction between two proteins given just their sequences. | |
| It generalizes well to new species and is robust to limitations in training data size. | |
| Its design reflects the intuition that for two proteins to physically interact, a subset of amino acids from each protein should be in contact with the other. | |
| The intermediate stages of D-SCRIPT directly implement this intuition, with the penultimate stage in D-SCRIPT being a rough estimate of the inter-protein | |
| contact map of the protein dimer. This structurally-motivated design enhances the interpretability of the results and, since structure is more conserved | |
| evolutionarily than sequence, improves generalizability across species. | |
| If you use D-SCRIPT, please cite `"Sequence-based prediction of protein-protein interactions: a structure-aware interpetable deep learning model" <https://www.biorxiv.org/content/10.1101/2021.01.22.427866v1>`_ | |
| by `Sam Sledzieski`_, `Rohit Singh`_, `Lenore Cowen`_, and `Bonnie Berger`_. | |
| .. _`D-SCRIPT Home Page`: http://dscript.csail.mit.edu | |
| .. _`Sam Sledzieski`: http://samsledje.github.io/ | |
| .. _`Rohit Singh`: http://people.csail.mit.edu/rsingh/ | |
| .. _`Lenore Cowen`: http://www.cs.tufts.edu/~cowen/ | |
| .. _`Bonnie Berger`: http://people.csail.mit.edu/bab/ | |
| Table of contents | |
| ================= | |
| .. toctree:: | |
| :maxdepth: 1 | |
| installation | |
| usage | |
| data | |
| api/index | |
| Indices and tables | |
| ================== | |
| * :ref:`genindex` | |
| * :ref:`modindex` | |