Literature DB >> 29511825

AFD: an application for bi-molecular interaction using axial frequency distribution.

Saad Raza1, Syed Sikander Azam2.   

Abstract

Conformational flexibility and generalized structural features are responsible for specific phenomena existing in biological pathways. With advancements in computational chemistry, novel approaches and new methods are required to compare the dynamic nature of biomolecules, which are crucial not only to address dynamic functional relationships but also to gain detailed insights into the disturbance and positional fluctuation responsible for functional shifts. Keeping this in mind, axial frequency distribution (AFD) has been developed, designed, and implemented. AFD can profoundly represent distribution and density of ligand atom around a particular atom or set of atoms. It enabled us to obtain an explanation of local movements and rotations, which are not significantly highlighted by any other structural and dynamical parameters. AFD can be implemented on biological models representing ligand and protein interactions. It shows a comprehensive view of the binding pattern of ligand by exploring the distribution of atoms relative to the x-y plane of the system. By taking a relative centroid on protein or ligand, molecular interactions like hydrogen bonds, van der Waals, polar or ionic interaction can be analyzed to cater the ligand movement, stabilization or flexibility with respect to the protein. The AFD graph resulted in the residual depiction of bi-molecular interaction in gradient form which can yield specific information depending upon the system of interest.

Entities:  

Keywords:  Axial frequency distribution; Binding pattern; Conformational analysis; Molecular dynamics simulation; Radial distribution function; Software

Year:  2018        PMID: 29511825     DOI: 10.1007/s00894-018-3601-3

Source DB:  PubMed          Journal:  J Mol Model        ISSN: 0948-5023            Impact factor:   1.810


  18 in total

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Journal:  Biochemistry       Date:  2004-08-24       Impact factor: 3.162

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Journal:  Nature       Date:  2005-01-13       Impact factor: 49.962

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6.  Binding pattern analysis and structural insight into the inhibition mechanism of Sterol 24-C methyltransferase by docking and molecular dynamics approach.

Authors:  Syed Sikander Azam; Asma Abro; Saad Raza
Journal:  J Biomol Struct Dyn       Date:  2015-02-11

Review 7.  Dynamic personalities of proteins.

Authors:  Katherine Henzler-Wildman; Dorothee Kern
Journal:  Nature       Date:  2007-12-13       Impact factor: 49.962

8.  Elucidation of Nonadditive Effects in Protein-Ligand Binding Energies: Thrombin as a Case Study.

Authors:  Gaetano Calabrò; Christopher J Woods; Francis Powlesland; Antonia S J S Mey; Adrian J Mulholland; Julien Michel
Journal:  J Phys Chem B       Date:  2016-06-14       Impact factor: 2.991

9.  Binding mode analysis, dynamic simulation and binding free energy calculations of the MurF ligase from Acinetobacter baumannii.

Authors:  Sajjad Ahmad; Saad Raza; Reaz Uddin; Syed Sikander Azam
Journal:  J Mol Graph Model       Date:  2017-08-05       Impact factor: 2.518

10.  Structure and dynamics studies of sterol 24-C-methyltransferase with mechanism based inactivators for the disruption of ergosterol biosynthesis.

Authors:  Syed Sikander Azam; Asma Abro; Saad Raza; Ayman Saroosh
Journal:  Mol Biol Rep       Date:  2014-02-27       Impact factor: 2.316

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