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* adding info about how to use molecule specific parameters in topoaa
* adding random removal haddock3-restraints subcommand info
* add indexing to random removal
* 5' end on nucleic acids `[topoaa.molX]` molecule parameters
* add notes for termini in topoaa
* adding the restrain_ligand haddock3-restraints subcommand
* fix equation display in ab-initio - issue #12
* migrate GenTBL to haddock-restraints generate restraints
* GenTBL to HADDOCK Restraints Generator
* upgrade topoaa and molecule specific documentation / example
* tweak airs
* fix missing text in intro_restraints
* add toc in intro_restraints
* add new file obtain_active_resiudes
* imporve seletopclusts
* keep_hetatm described in caprieval
Copy file name to clipboardExpand all lines: src/abinitio_docking.md
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@@ -19,11 +19,15 @@ To calculate the upper distance limit for the restraints, the height, width, and
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- If `cmtight=true`: The 'molecule distance' for each molecule is calculated as the average of the two smallest dimensions, each divided by 2. For example:
Copy file name to clipboardExpand all lines: src/bpg/restraints.md
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@@ -67,7 +67,7 @@ In general, an AIR is defined as an ambiguous intermolecular distance between an
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This procedure can be performed:
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- locally using the `haddock3-restraints active_passive_to_ambig` command line
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- online using [GenTBL server](https://rascar.science.uu.nl/gentbl/)
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- online using [HADDOCK Restraints Generator web server](https://wenmr.science.uu.nl/haddock-restraints/)
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Using ambiguous restraints for docking is described in several tutorials:
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[ARCTIC-3D](https://wenmr.science.uu.nl/arctic3d/), standing for Automatic Retrieval and Clustering of Interfaces in Complexes, is a data mining algorithm that searches for experimental interfaces in the PDB and cluster interaction sites together. It is also able to directly generate AIRs for haddock3.
[CPORT](http://alcazar.science.uu.nl/services/CPORT/) is an algorithm for the prediction of protein-protein interface residues. It combines six interface prediction methods into a consensus predictor.
Copy file name to clipboardExpand all lines: src/intro_restraints.md
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Restraints are defined using the CNS syntax, basically defining two selections and a pseudo-distance that must be satisfied.
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In case of unsatisfied restraints, a pseudo-energetical penalty is applied to the HADDOCK scoring function, therefore enabling to rank lower complexes that do not respect the restraints.
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Table of content:
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-[Definition of distance restraints in CNS](#distance-restraints)
In the definition of restraints, we define two type of selection, *active* (first selection) and *passive* (second selection) and a pseudo-distance to be satisfied.
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*`active selection`: is the first selection statement.
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*`passive selection`: is the second selection statement.
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*`distance`: is the pseudo-distance where we hope to find the two selections together
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*`lower_boundary`:
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*`upper_boundary`: is the upper
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*`lower_boundary`: value by which the distance can be lowered and still be in the acceptable range
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*`upper_boundary`: value by which the distance can be increased and still be in the acceptable range
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Basically, a restraint is satisfied if the pseudo-distance is found between `distance - lower_boundary` and `distance + upper_boundary` (`distance - lower_boundary` <= pseudo-distance <= `distance - upper_boundary`).
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* lower_boundary = 2.0
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* upper_boundary = 0.0
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therefore expecting the find the pseudo-distance under 2.0 between the two selections for a restraint to be satisfied.
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therefore expecting the find the pseudo-distance under 2.0 A between the two selections for a restraint to be satisfied.
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For a detailed explanation of the distance restraints, please refer to the following articles:
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