Literature DB >> 33505991

StructureMan: A Structure Manipulation Tool to Study Large Scale Biomolecular Interactions.

Yuejiao Xian1, Yixin Xie2, Sebastian Miki Silva3, Chitra B Karki2, Weihong Qiu4,5, Lin Li2,3.   

Abstract

Studying biomolecular interactions is a crucial but challenging task. Due to their large scales, many biomolecular interactions are difficult to be simulated via all atom models. An effective approach to investigate the biomolecular interactions is highly demanded in many areas. Here we introduce a Structure Manipulation (StructureMan) program to operate the structures when studying the large-scale biomolecular interactions. This novel StructureMan tool provides comprehensive operations which can be utilized to study the interactions in various large biological systems. Combining with electrostatic calculation programs such as DelPhi and DelPhiForce, StructureMan was implemented to reveal the detailed electrostatic features in two large biological examples, the viral capsid and molecular motor-microtubule complexes. Applications on these two examples revealed interesting binding mechanisms in the viral capsid and molecular motor. Such applications demonstrated that the StructureMan can be widely used when studying the biomolecular interactions in large scale biological problems. This novel tool provides an alternative approach to efficiently study the biomolecular interactions, especially for large scale biology systems. The StructureMan tool is available at our website: http://compbio.utep.edu/static/downloads/script-for-munipulation2.zip.
Copyright © 2021 Xian, Xie, Silva, Karki, Qiu and Li.

Entities:  

Keywords:  DelPhi; DelPhiForce; electrostatic force; kinesin; molecular motor; protein-RNA/DNA interactions; protein-protein interactions; viral capsid assembly

Year:  2021        PMID: 33505991      PMCID: PMC7831659          DOI: 10.3389/fmolb.2020.627087

Source DB:  PubMed          Journal:  Front Mol Biosci        ISSN: 2296-889X


  55 in total

1.  Comparative assessment of large-scale data sets of protein-protein interactions.

Authors:  Christian von Mering; Roland Krause; Berend Snel; Michael Cornell; Stephen G Oliver; Stanley Fields; Peer Bork
Journal:  Nature       Date:  2002-05-08       Impact factor: 49.962

2.  ZDOCK: an initial-stage protein-docking algorithm.

Authors:  Rong Chen; Li Li; Zhiping Weng
Journal:  Proteins       Date:  2003-07-01

Review 3.  Kinesin motors and disease.

Authors:  Eckhard Mandelkow; Eva-Maria Mandelkow
Journal:  Trends Cell Biol       Date:  2002-12       Impact factor: 20.808

4.  A novel shape complementarity scoring function for protein-protein docking.

Authors:  Rong Chen; Zhiping Weng
Journal:  Proteins       Date:  2003-05-15

Review 5.  Scoring functions and their evaluation methods for protein-ligand docking: recent advances and future directions.

Authors:  Sheng-You Huang; Sam Z Grinter; Xiaoqin Zou
Journal:  Phys Chem Chem Phys       Date:  2010-08-23       Impact factor: 3.676

6.  The capsid protein of Turnip crinkle virus overcomes two separate defense barriers to facilitate systemic movement of the virus in Arabidopsis.

Authors:  Mingxia Cao; Xiaohong Ye; Kristen Willie; Junyan Lin; Xiuchun Zhang; Margaret G Redinbaugh; Anne E Simon; T Jack Morris; Feng Qu
Journal:  J Virol       Date:  2010-05-26       Impact factor: 5.103

7.  DelPhiForce, a tool for electrostatic force calculations: Applications to macromolecular binding.

Authors:  Lin Li; Arghya Chakravorty; Emil Alexov
Journal:  J Comput Chem       Date:  2017-01-28       Impact factor: 3.376

Review 8.  Principles of protein-protein interactions.

Authors:  S Jones; J M Thornton
Journal:  Proc Natl Acad Sci U S A       Date:  1996-01-09       Impact factor: 11.205

9.  Highly efficient and exact method for parallelization of grid-based algorithms and its implementation in DelPhi.

Authors:  Chuan Li; Lin Li; Jie Zhang; Emil Alexov
Journal:  J Comput Chem       Date:  2012-06-04       Impact factor: 3.376

10.  DARS-RNP and QUASI-RNP: new statistical potentials for protein-RNA docking.

Authors:  Irina Tuszynska; Janusz M Bujnicki
Journal:  BMC Bioinformatics       Date:  2011-08-18       Impact factor: 3.169

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  6 in total

1.  Electrostatic features for nucleocapsid proteins of SARS-CoV and SARS-CoV-2.

Authors:  Wenhan Guo; Yixin Xie; Alan E Lopez-Hernandez; Shengjie Sun; Lin Li
Journal:  Math Biosci Eng       Date:  2021-03-09       Impact factor: 2.080

2.  Molecular mechanisms of cardiac actomyosin transforming from rigor state to post-rigor state.

Authors:  Shengjie Sun; Chitra Karki; Bruce Z Gao; Lin Li
Journal:  J Chem Phys       Date:  2022-01-21       Impact factor: 4.304

3.  The pH Effects on SARS-CoV and SARS-CoV-2 Spike Proteins in the Process of Binding to hACE2.

Authors:  Yixin Xie; Wenhan Guo; Alan Lopez-Hernadez; Shaolei Teng; Lin Li
Journal:  Res Sq       Date:  2021-09-09

4.  The pH Effects on SARS-CoV and SARS-CoV-2 Spike Proteins in the Process of Binding to hACE2.

Authors:  Yixin Xie; Wenhan Guo; Alan Lopez-Hernadez; Shaolei Teng; Lin Li
Journal:  Pathogens       Date:  2022-02-11

5.  Computational Study on E-Hooks of Tubulins in the Binding Process with Kinesin.

Authors:  Yixin Xie; Lin Li
Journal:  Int J Mol Sci       Date:  2022-02-12       Impact factor: 6.208

6.  Using a comprehensive approach to investigate the interaction between Kinesin-5/Eg5 and the microtubule.

Authors:  Wenhan Guo; Shengjie Sun; Jason E Sanchez; Alan E Lopez-Hernandez; Tolulope A Ale; Jiawei Chen; Tanjina Afrin; Weihong Qiu; Yixin Xie; Lin Li
Journal:  Comput Struct Biotechnol J       Date:  2022-08-11       Impact factor: 6.155

  6 in total

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