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[attract] as a sampling module #1027

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AnnaKravchenko opened this issue Sep 16, 2024 · 0 comments
Open

[attract] as a sampling module #1027

AnnaKravchenko opened this issue Sep 16, 2024 · 0 comments
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feature New feature request m|attract

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@AnnaKravchenko
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Desired feature/enhancement

Add a rigid fragment-based protein-ssRNA doking pipeline, performed by the ATTRACT docking engine, as a sampling module of HADDOCK.

Motivation

  1. Introduces a dedicated docking workflow for protein-ssRNA complexes within HADDOCK, eliminating the need for CNS-based sampling;
  2. Could potentially be executed in an anchored manner, when a single fragment is docked using restraints (obtained using experimental data, etc.), and consecutive fragments are docked using restraints towards the previous fragment(s);
  3. Could potentially be expanded to protein-protein and protein-DNA docking (supported by ATTRACT but outside of my current competency).

Description

[attract] module should handle the full docking workflow, consisting of the following steps:

  1. Preparation of the input folder, protein coarse-graining
  2. Sampling, a per-fragment rigid-body energy minimisation, with or without restraints
  3. Scoring with ATTRACT scoring function or with HIPPO
  4. Assembly of RNA fragments into a full-chain docking models
  5. Conversion of a limited number of models back to all-atom representation

Additional context

Paper about fragment-based protein-ssRNA doking
Paper about anchored docking

@AnnaKravchenko AnnaKravchenko added the enhancement Enhancing an existing feature of adding a new one label Sep 16, 2024
@AnnaKravchenko AnnaKravchenko self-assigned this Sep 16, 2024
@VGPReys VGPReys added the feature New feature request label Sep 17, 2024
@AnnaKravchenko AnnaKravchenko mentioned this issue Sep 18, 2024
4 tasks
@AnnaKravchenko AnnaKravchenko linked a pull request Sep 18, 2024 that will close this issue
4 tasks
@rvhonorato rvhonorato added m|attract and removed enhancement Enhancing an existing feature of adding a new one labels Sep 18, 2024
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Labels
feature New feature request m|attract
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3 participants