Blastermaster2.0: Difference between revisions

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If you are a member of the UCSF Shoichet Lab, you can use BM2 on one of the UCSF computers where it is already set-up. See here: [[How_to_use_Blastermaster_2.0_on_UCSF_computers|https://wiki.docking.org/index.php/How_to_use_Blastermaster_2.0_on_UCSF_computers]]
If you are a member of the UCSF Shoichet Lab, you can use BM2 on one of the UCSF computers where it is already set-up. See here: [[How_to_use_Blastermaster_2.0_on_UCSF_computers|https://wiki.docking.org/index.php/How_to_use_Blastermaster_2.0_on_UCSF_computers]]


# TODO
For all others, # TODO




[[Category:blastermaster2.0]]
[[Category:blastermaster2.0]]
[[Category:active_development]]
[[Category:active_development]]

Revision as of 06:14, 16 March 2022

Installation

Assuming you have a valid GitHub personal access token (PAT) attached to a GitHub account that has read-access to Blastermaster 2.0 repository within the Docking.org GitHub organization, you can install BM2 to a given Python environment using Pip:

pip install https://<GIT_ACCESS_TOKEN>@raw.githubusercontent.com/docking-org/blastermaster-2.0/main/dist/bm2-0.1.0-py3-none-any.whl

Note: at least some of the blaster programs that BM2 depends on are 32-bit, so if you are installing on a 64-bit architecture then you will need to add the 32-bit architecture and install the relevant libraries:

sudo dpkg --add-architecture i386
sudo apt update -y
sudo apt install libc6:i386 libncurses5:i386 libstdc++6:i386

Using BM2

If you are a member of the UCSF Shoichet Lab, you can use BM2 on one of the UCSF computers where it is already set-up. See here: https://wiki.docking.org/index.php/How_to_use_Blastermaster_2.0_on_UCSF_computers

For all others, # TODO