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    <note>All code and compilation scripts are in the CPP/ directory. Detailed usage, user manual, and worked example are in the HOWTO/ directory.</note>
    <abstract>This dataset primarily contains source code and instructions for a set of protein analysis utilities collectively called FLEXOME. FLEXOME can perform the following functions on a protein structure input:

  - Identification of covalent, hydrophobic and polar interactions using the atomic geometry of the input.
  - Surface exposure and burial distance finding.
  - Rigid Cluster Decomposition using pebble-game rigidity analysis.
  - Normal mode finding with an elastic network model, one site per residue. Only the requested number of low-frequency modes are generated, using Cholesky decomposition and inverse iteration, to avoid the computational cost of fully inverting a large matrix.
  - Geometric simulations of flexible motion in the all-atom structure, using the input atomic geometry as constraints and a normal mode eigenvector as a bias direction.

Source code in the form of C++ files (.h and .cpp) is in the CPP/ directory. Useful ancillary scripts are in the SCRIPTS/ directory. The HOWTO/ directory includes a detailed user manual, &quot;FLEXOME-GUIDANCE.txt&quot;; a fully worked example, discussed in the manual, in the LysosymeExample/ directory; and an ExpertExample/ directory showing advanced FLEXOME usage options. Each directory includes a README.txt file summarising its contents and significance.</abstract>
    <date>2020-11-23</date>
    <publisher>University of Bath</publisher>
    <full_text_status>restricted</full_text_status>
    <lay_summary>This protein analysis software identifies rigid and flexible regions in a protein crystal structure; identifies easy directions of motion for the structure; and explores the motion of the structure along these directions. This generates a set of flexible variations on the starting structure, suggestive of the range of variation it will explore naturally in solution.</lay_summary>
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    <collection_method>C++ code written by Dr. Stephen A Wells, University of Bath, 2020.</collection_method>
    <techinfo>The code was written, and should be run, in a Linux command-line environment. The development environment was Cygwin on a Windows laptop with the gcc compiler. Shell scripts are written for the Bash shell. PyMOL scripts are provided to aid visualisation.</techinfo>
    <language>en</language>
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    <doi>10.15125/BATH-00940</doi>
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    <access_arrangements>This dataset consists of a software suite which we expect to be of interest to both academic and commercial (biopharma) users. Users applying from a valid academic email address should be permitted access to the suite on condition that they agree to our assertion of rights, as set out in the file RIGHTS.txt.</access_arrangements>
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