Literature DB >> 28321532

As-Rigid-As-Possible molecular interpolation paths.

Minh Khoa Nguyen1,2, Léonard Jaillet3,4, Stéphane Redon3,4.   

Abstract

This paper proposes a new method to generate interpolation paths between two given molecular conformations. It relies on the As-Rigid-As-Possible (ARAP) paradigm used in Computer Graphics to manipulate complex meshes while preserving their essential structural characteristics. The adaptation of ARAP approaches to the case of molecular systems is presented in this contribution. Experiments conducted on a large set of benchmarks show how such a strategy can efficiently compute relevant interpolation paths with large conformational rearrangements.

Keywords:  As-rigid-as-possible; Interpolation path; Molecular structures; Morphing

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Year:  2017        PMID: 28321532     DOI: 10.1007/s10822-017-0012-y

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  26 in total

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4.  Generating stereochemically acceptable protein pathways.

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Review 6.  On linear variational surface deformation methods.

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Journal:  IEEE Trans Vis Comput Graph       Date:  2008 Jan-Feb       Impact factor: 4.579

7.  Can morphing methods predict intermediate structures?

Authors:  Dahlia R Weiss; Michael Levitt
Journal:  J Mol Biol       Date:  2008-10-30       Impact factor: 5.469

8.  Multiscale modeling of macromolecular conformational changes combining concepts from rigidity and elastic network theory.

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9.  Rapid sampling of molecular motions with prior information constraints.

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10.  MUSCLE: a multiple sequence alignment method with reduced time and space complexity.

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  2 in total

1.  ART-RRT: As-Rigid-As-Possible search for protein conformational transition paths.

Authors:  Minh Khoa Nguyen; Léonard Jaillet; Stéphane Redon
Journal:  J Comput Aided Mol Des       Date:  2019-08-21       Impact factor: 3.686

2.  Generating conformational transition paths with low potential-energy barriers for proteins.

Authors:  Minh Khoa Nguyen; Léonard Jaillet; Stéphane Redon
Journal:  J Comput Aided Mol Des       Date:  2018-08-01       Impact factor: 3.686

  2 in total

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