Fork me on GitHub
thumbnail

Sampling exhaustiveness benchmark

Benchmark for sampling exhaustiveness method

crossWarning: these files have not yet been verified to work with the latest version of IMP. We will update this page when they have been. The files are also available at GitHub.
Additional software needed to use these files: IMP install instructions

Anaconda logo To install the software needed to reproduce this system with the Anaconda Python command line tool (conda), run the following commands:

conda config --add channels salilab
conda install imp

UCSF logo To set up the environment on the UCSF QB3 cluster to run this system, run:

module load imp
Tags analysis benchmark

This repository contains the scripts for the sampling exhaustiveness tests along with the inputs for the benchmark cases and results on the benchmarks.

The inputs folder contains inputs for sampling for the benchmark cases,such as PDB and crosslink files.

The scripts folder contains scripts for sampling IMP models and scoring ZDOCK models, as well as the scripts for the protocol and plotting outputs from the protocol.

The results folder contains the models sampled by IMP, and the resulting clusters of good-scoring models, along with the top models from ZDOCK and the outputs of the sampling exhaustiveness protocol.

Note

Please refer to the README.md file in each directory for specific details.

Info

Author(s): Shruthi Viswanath, Ilan E. Chemmama

Maintainer: shruthivis,ichem001

License: LGPL This library is free software; you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version.

Publications: