Add first draft of OpenCADD-KLIFS paper

docs/databases_klifs.rst

@@ -1,36 +1,39 @@
-Databases: KLIFS
+OpenCADD-KLIFS
 ================
 
-Once you have installed the package, you will have access (among others) 
-to the ``opencadd.databases.klifs`` module.
+Once you have installed the ``opencadd`` package, you will have access (among others) 
+to the ``opencadd.databases.klifs`` module (OpenCADD-KLIFS).
+In case you wish to install only the dependencies relevant to OpenCADD-KLIFS, please follow the installation instructions `here <https://opencadd.readthedocs.io/en/latest/installing_opencadd_klifs.html>`_.
 
-This module offers a simple API to interact with data from KLIFS remotely and locally.
+OpenCADD-KLIFS offers a simple API to interact with data from KLIFS remotely and locally.
 
+Find a detailed tutorial at the `TeachOpenCADD platform <https://projects.volkamerlab.org/teachopencadd/talktorials/T012_query_klifs.html>`_ on the KLIFS database (including its Swagger API) and on how to apply the module OpenCADD-KLIFS to an example research question.
 
 What is KLIFS and who created it?
 ---------------------------------
 
-"KLIFS is a kinase database that dissects experimental structures of catalytic kinase domains and the way kinase inhibitors interact with them. The KLIFS structural alignment enables the comparison of all structures and ligands to each other. Moreover, the KLIFS residue numbering scheme capturing the catalytic cleft with 85 residues enables the comparison of the interaction patterns of kinase-inhibitors, for example, to identify crucial interactions determining kinase-inhibitor selectivity."
+  KLIFS is a kinase database that dissects experimental structures of catalytic kinase domains and the way kinase inhibitors interact with them. The KLIFS structural alignment enables the comparison of all structures and ligands to each other. Moreover, the KLIFS residue numbering scheme capturing the catalytic cleft with 85 residues enables the comparison of the interaction patterns of kinase-inhibitors, for example, to identify crucial interactions determining kinase-inhibitor selectivity.
 
-- KLIFS database: https://klifs.net
-- KLIFS online service: https://klifs.net/swagger 
+- KLIFS database: https://klifs.net (official), https://dev.klifs.net/ (developmental)
+- KLIFS online service: https://klifs.net/swagger (official), https://dev.klifs.net/swagger_v2 (developmental, used here) 
 - KLIFS citation: `Nucleic Acids Res. (2021), 49, D1, D562–D569 <https://academic.oup.com/nar/article/49/D1/D562/5934416>`_
 
 What does ``opencadd.databases.klifs`` offer?
 ---------------------------------------------
 
-This module allows you to access KLIFS data such as information about kinases, structures, ligands, interaction fingerprints, bioactivities.
-On the one hand, you can query the KLIFS webserver directly. 
+This module allows you to access KLIFS data such as information about 
+kinases, structures, structural conformations, modified residues, ligands, drugs, interaction fingerprints, and bioactivities.
 
+On the one hand, you can query the KLIFS webserver directly. 
 On the other hand, you can query your local KLIFS download.
-We provide identical APIs for the remote and local queries and streamline all output into standardized ``pandas`` DataFrames for easy and quick downstream manipulation.
+We provide identical APIs for the remote and local queries and streamline all output into standardized ``pandas`` DataFrames for easy and quick downstream data analyses.
 
 Work with KLIFS data from KLIFS server (remotely)
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
 The ``opencadd.databases.klifs.remote`` submodule offers you to access KLIFS data from the KLIFS server.
 
-Our API relies on the REST API and OpenAPI (Swagger) specification at https://dev.klifs.net/swagger_v2/ to dynamically generate a Python client with ``bravado``.
+Our API relies on the REST API and Swagger API (Swagger) specification at https://dev.klifs.net/swagger_v2/ to dynamically generate a Python client with ``bravado``.
 
 Example for ``opencadd``'s API to access remote data:
 
@@ -39,13 +42,13 @@ Example for ``opencadd``'s API to access remote data:
     from opencadd.databases.klifs import setup_remote
 
     # Set up remote session
-    remote = setup_remote()
+    session = setup_remote()
 
     # Get all kinases that are available remotely
-    remote.kinases.all_kinases()
+    session.kinases.all_kinases()
 
     # Get kinases by kinase name
-    remote.kinases.by_kinase_name(["EGFR", "BRAF"])
+    session.kinases.by_kinase_name(["EGFR", "BRAF"])
 
 Work with KLIFS data from disc (locally)
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
@@ -76,19 +79,19 @@ Example for ``opencadd``'s API to access local data:
     from opencadd.databases.klifs import setup_local
 
     # Set up local session
-    local = setup_local("../../opencadd/tests/databases/data/KLIFS_download")
+    session = setup_local("../../opencadd/tests/databases/data/KLIFS_download")
 
     # Get all kinases that are available locally
-    local.kinases.all_kinases()
+    session.kinases.all_kinases()
 
     # Get kinases by kinase name
-    local.kinases.by_kinase_name(["EGFR", "BRAF"])
+    session.kinases.by_kinase_name(["EGFR", "BRAF"])
 
 
 How is ``opencadd.databases.klifs`` structured?
 ----------------------------------------------------------
 
-The module's structure looks like this, trying to use the same API for both modules ``local`` and ``remote`` whenever possible:
+The module's structure looks like this, using the same API for both modules ``local`` and ``remote`` whenever possible:
 
 .. code-block:: console 
 
@@ -110,46 +113,46 @@ This structure mirrors the KLIFS Swagger API structure in the following way to a
 - ``kinases``  
 
   - Get information about kinases (groups, families, names).  
-  - In KLIFS swagger API called ``Information``: https://dev.klifs.net/swagger_v2/#/Information
+  - In KLIFS Swagger API called ``Information``: https://dev.klifs.net/swagger_v2/#/Information
 
 - ``ligands``  
 
   - Get ligand information.  
-  - In KLIFS swagger API called ``Ligands``: https://dev.klifs.net/swagger_v2/#/Ligands
+  - In KLIFS Swagger API called ``Ligands``: https://dev.klifs.net/swagger_v2/#/Ligands
 
 - ``structures``
 
   - Get structure information.  
-  - In KLIFS swagger API called ``Structures``: https://dev.klifs.net/swagger_v2/#/Structures  
+  - In KLIFS Swagger API called ``Structures``: https://dev.klifs.net/swagger_v2/#/Structures  
 
 - ``bioactivities``  
 
   - Get bioactivity information.  
-  - In KLIFS swagger API part of ``Ligands``: https://dev.klifs.net/swagger_v2/#/Ligands  
+  - In KLIFS Swagger API part of ``Ligands``: https://dev.klifs.net/swagger_v2/#/Ligands  
 
 - ``interactions``  
 
   - Get interaction information.  
-  - In KLIFS swagger API called ``Interactions``: https://dev.klifs.net/swagger_v2/#/Interactions  
+  - In KLIFS Swagger API called ``Interactions``: https://dev.klifs.net/swagger_v2/#/Interactions  
 
 - ``pocket``  
 
   - Get interaction information.  
-  - In KLIFS swagger API part of ``Interactions``: https://dev.klifs.net/swagger_v2/#/Interactions 
+  - In KLIFS Swagger API part of ``Interactions``: https://dev.klifs.net/swagger_v2/#/Interactions/get_interactions_match_residues 
 
 - ``coordinates``  
 
   - Get structural data (structure coordinates).
-  - In KLIFS swagger API part of ``Structures``: https://dev.klifs.net/swagger_v2/#/Structures 
+  - In KLIFS Swagger API part of ``Structures``: https://dev.klifs.net/swagger_v2/#/Structures 
 
 - ``conformations``
 
   - Get information on structure conformations.
-  - In KLIFS swagger API part of ``Structures``: https://dev.klifs.net/swagger_v2/#/Structures/get_structure_conformation
+  - In KLIFS Swagger API part of ``Structures``: https://dev.klifs.net/swagger_v2/#/Structures/get_structure_conformation
 
 - ``modified_residues``
 
   - Get information on residue modifications in structures.
-  - In KLIFS swagger API part of ``Structures``: https://dev.klifs.net/swagger_v2/#/Structures/get_structure_modified_residues
+  - In KLIFS Swagger API part of ``Structures``: https://dev.klifs.net/swagger_v2/#/Structures/get_structure_modified_residues
 
 

docs/index.rst

@@ -35,17 +35,18 @@ OpenCADD is a Python package for structural cheminformatics!
    :caption: User guide
 
    installing
+   installing_opencadd_klifs
 
 .. toctree::
    :maxdepth: 1
-   :caption: Input/output formats
+   :caption: IO formats
 
    io
    tutorials/io
 
 .. toctree::
    :maxdepth: 1
-   :caption: Structure: Superposition
+   :caption: OpenCADD-superposition
 
    superposition
    tutorials/mda
@@ -54,14 +55,14 @@ OpenCADD is a Python package for structural cheminformatics!
 
 .. toctree::
    :maxdepth: 1
-   :caption: Structure: Pocket
+   :caption: OpenCADD-pocket
 
    structure_pocket
    tutorials/structure_pocket
 
 .. toctree::
    :maxdepth: 1
-   :caption: Databases: KLIFS
+   :caption: OpenCADD-KLIFS
 
    databases_klifs
    tutorials/databases_klifs

docs/installing_opencadd_klifs.rst

@@ -0,0 +1,29 @@
+Installing OpenCADD-KLIFS only
+==============================
+
+In case you would like to install the dependencies for the OpenCADD-KLIFS module only, please follow these instructions.
+
+.. note::
+
+    We are assuming you have a working ``mamba`` installation in your computer. 
+    If this is not the case, please refer to their `official documentation <https://mamba.readthedocs.io/en/latest/installation.html#mamba>`_. 
+
+
+Install from the conda package
+------------------------------
+
+1. Create a new conda environment called ``opencadd-klifs`` with the ``opencadd`` package and all its dependencies installed::
+
+    mamba create -n opencadd-klifs bravado pandas tqdm rdkit biopandas
+
+2. Activate the new conda environment::
+
+    conda activate opencadd-klifs
+
+3. Install ``opencadd`` without any dependencies (all ``opencadd-klifs`` relevant dependencies have been installed in step 1)::
+
+    mamba install opencadd --no-deps
+
+   If you are planning on working with Jupyter notebooks, install JupyterLab and IPyWidgets::
+
+    mamba install jupyterlab ipywidgets

papers/opencadd-klifs/paper.bib

@@ -0,0 +1,152 @@
+@article{Cohen:2021,
+    title={Kinase drug discovery 20 years after imatinib: progress and future directions},
+    author={Cohen, Philip and Cross, Darren and J{\"a}nne, Pasi A.},
+    journal={Nature Reviews Drug Discovery},
+    volume={20},
+    number={7},
+    pages={551-569},
+    year={2021},
+    doi={10.1038/s41573-021-00195-4},
+}
+
+@article{Kooistra:2017,
+    author = {Kooistra, Albert J. and Volkamer, Andrea},
+    title = {{Kinase-Centric Computational Drug Development}},
+    journal = {Annu. Rep. Med. Chem.},
+    volume = {50},
+    pages = {197--236},
+    year = {2017},
+    doi = {10.1016/BS.ARMC.2017.08.001},
+}
+
+@article{Kanev:2021,
+    title = "{KLIFS: an overhaul after the first 5 years of supporting kinase research}",
+    author = {Kanev, Georgi K and {de Graaf}, Chris and Westerman, Bart A and {de Esch}, Iwan J P and Kooistra, Albert J},
+    journal = {Nucleic Acids Research},
+    volume = {49},
+    number = {D1},
+    pages = {D562-D569},
+    year = {2020},
+    doi = {10.1093/nar/gkaa895},
+}
+
+@article{vanLinden:2014,
+    author={van Linden, Oscar P. J. and Kooistra, Albert J. and Leurs, Rob and de Esch, Iwan J. P. and de Graaf, Chris},
+    title={KLIFS: A Knowledge-Based Structural Database To Navigate Kinase--Ligand Interaction Space},
+    journal={Journal of Medicinal Chemistry},
+    volume={57},
+    number={2},
+    pages={249-277},
+    year={2014},
+    doi={10.1021/jm400378w},
+}
+
+@article{Raschka:2017,
+    title = {BioPandas: Working with molecular structures in pandas DataFrames},
+    author = {Sebastian Raschka},
+    journal = {The Journal of Open Source Software},
+    volume = {2},
+    number = {14},
+    year  = {2017},
+    doi = {10.21105/joss.00279},
+}
+
+@inproceedings{Kluyver:2016,
+    booktitle = {Positioning and Power in Academic Publishing: Players, Agents and Agendas},
+    editor = {Fernando Loizides and Birgit Scmidt},
+    title = {Jupyter Notebooks - a publishing format for reproducible computational workflows},
+    author = {Thomas Kluyver and Benjamin Ragan-Kelley and Fernando P{\'e}rez and Brian Granger and Matthias Bussonnier and Jonathan Frederic and Kyle Kelley and Jessica Hamrick and Jason Grout and Sylvain Corlay and Paul Ivanov and Dami{\'a}n Avila and Safia Abdalla and Carol Willing and  Jupyter development team},
+    publisher = {IOS Press},
+    year = {2016},
+    pages = {87--90},
+    url = {https://eprints.soton.ac.uk/403913/},
+}
+
+@misc{klifsswagger,
+    author = {KLIFS},
+    title = {{KLIFS Swagger API}},
+    year = 2021,
+    publisher = {https://dev.klifs.net},
+    url = {https://dev.klifs.net/swagger_v2/},
+}
+
+@misc{bravado,
+    author = {bravado},
+    title = {{bravado}},
+    year = 2021,
+    publisher = {GitHub},
+    journal = {GitHub repository},
+    url = {https://github.com/Yelp/bravado},
+}
+
+@misc{pandas,
+    author = {{The pandas development team}},
+    title = {pandas-dev/pandas: Pandas},
+    year = 2020,
+    publisher = {Zenodo},
+    journal = {Zenodo repository},
+    doi = {10.5281/zenodo.3509134},
+}
+
+@misc{rdkit,
+    author = {RDKit},
+    title = {{RDKit: Open-Source Cheminformatics}},
+    year = 2021,
+    publisher = {RDKit},
+    journal = {RDKit website},
+    url = {http://www.rdkit.org},
+}
+
+@misc{kissim,
+    author = {{KiSSim}},
+    title = {{KiSSim: Subpocket-based fingerprint for kinase pocket comparison}},
+    year = 2021,
+    publisher = {GitHub},
+    journal = {GitHub repository},
+    url = {https://github.com/volkamerlab/kissim},
+}
+
+@misc{teachopencadd,
+    author = {{TeachOpenCADD}},
+    title = {{TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data}},
+    year = 2021,
+    publisher = {GitHub},
+    journal = {GitHub repository},
+    url = {https://github.com/volkamerlab/teachopencadd},
+}
+
+@misc{opencadd_pocket,
+    author = {{OpenCADD}},
+    title = {{OpenCADD-Pocket: Identification and analysis of protein (sub)pockets}},
+    year = 2021,
+    publisher = {GitHub},
+    journal = {GitHub repository},
+    url = {https://github.com/volkamerlab/opencadd},
+}
+
+@misc{kinoml,
+    author = {{OpenKinome}},
+    title = {{KinoML: Structure-informed machine learning for kinase modeling}},
+    year = 2021,
+    publisher = {GitHub},
+    journal = {GitHub repository},
+    url = {https://github.com/openkinome/kinoml},
+}
+
+@misc{plipify,
+    author = {{PLIPify}},
+    title = {{PLIPify: Protein-ligand interaction frequencies across multiple structures}},
+    year = 2021,
+    publisher = {GitHub},
+    journal = {GitHub repository},
+    url = {https://github.com/volkamerlab/plipify},
+}
+
+@misc{volkamerlab,
+    author = {{Volkamer Lab}},
+    title = {{Volkamer Lab website}},
+    year = 2021,
+    publisher = {Volkamer Lab},
+    journal = {Volkamer Lab website},
+    url = {https://volkamerlab.org/},
+}