Poster Prize Awarded at ISMB
At this year's meeting of the Intelligent Systems for Molecular Biology Conference (ISMB)/European Conference on Computational Biology, the award went to João Rodrigues for pdb-tools: a dependency-free cross-platform swiss army knife for PDB files for Learning from the ligand: improving binding affinity prediction using molecular descriptors.
pdb-tools: a dependency-free cross-platform swiss army knife for PDB files for Learning from the ligand: improving binding affinity prediction using molecular descriptors. João Rodrigues (Stanford University), João Teixeira (University of Toronto), Mikael Trellet (Utrecht University), and Alexandre Bonvin (Utrecht University)
The pdb-tools are a collection of Python scripts for working with molecular structure data in the Protein Data Bank (PDB) format. The tools allow users to easily and efficiently edit and validate PDB files as well as convert coordinate data to and from the now-standard mmCIF format. Moreover, their simple and consistent command-line interface makes them particularly adequate for non-expert users. All tools are implemented in Python, without external dependencies, and are freely available under the open-source Apache License at https://github.com/haddocking/pdb-tools and on PyPI.
Many thanks to Chair Arjun Krishnan (Michigan State University), Co-Chairs Casey Greene (University of Pennsylvania) and Virginie Uhlmann (EMBL-EBI), and Steven Leard (ISMB).