Literature DB >> 19031067

Computer modeling in biotechnology: a partner in development.

Aleksei Aksimentiev1, Robert Brunner, Jordi Cohen, Jeffrey Comer, Eduardo Cruz-Chu, David Hardy, Aruna Rajan, Amy Shih, Grigori Sigalov, Ying Yin, Klaus Schulten.   

Abstract

Computational modeling can be a useful partner in biotechnology, in particular, in nanodevice engineering. Such modeling guides development through nanoscale views of biomolecules and devices not available through experimental imaging methods. We illustrate the role of computational modeling, mainly of molecular dynamics, through four case studies: development of silicon bionanodevices for single molecule electrical recording, development of carbon nano-tube-biomolecular systems as in vivo sensors, development of lipoprotein nanodiscs for assays of single membrane proteins, and engineering of oxygen tolerance into the enzyme hydrogenase for photosynthetic hydrogen gas production. The four case studies show how molecular dynamics approaches were adapted to the specific technical uses through (i) multi-scale extensions, (ii) fast quantum chemical force field evaluation, (iii) coarse graining, and (iv) novel sampling methods. The adapted molecular dynamics simulations provided key information on device behavior and revealed development opportunities, arguing that the "computational microscope" is an indispensable nanoengineering tool.

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Year:  2008        PMID: 19031067     DOI: 10.1007/978-1-59745-480-3_11

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  9 in total

1.  Deciphering ionic current signatures of DNA transport through a nanopore.

Authors:  Aleksei Aksimentiev
Journal:  Nanoscale       Date:  2010-02-02       Impact factor: 7.790

2.  Identification of specific lipid-binding sites in integral membrane proteins.

Authors:  Marc F Lensink; Cédric Govaerts; Jean-Marie Ruysschaert
Journal:  J Biol Chem       Date:  2010-02-05       Impact factor: 5.157

Review 3.  Nanodiscs in Membrane Biochemistry and Biophysics.

Authors:  Ilia G Denisov; Stephen G Sligar
Journal:  Chem Rev       Date:  2017-02-08       Impact factor: 60.622

4.  Computational investigation of DNA detection using graphene nanopores.

Authors:  Chaitanya Sathe; Xueqing Zou; Jean-Pierre Leburton; Klaus Schulten
Journal:  ACS Nano       Date:  2011-10-13       Impact factor: 15.881

5.  Symmetry-based self-assembled nanotubes constructed using native protein structures: the key role of flexible linkers.

Authors:  Idit Buch; Chung-Jung Tsai; Haim J Wolfson; Ruth Nussinov
Journal:  Protein Pept Lett       Date:  2011-04       Impact factor: 1.890

6.  Electrically induced conformational change of peptides on metallic nanosurfaces.

Authors:  Yi Chen; Eduardo R Cruz-Chu; Jaie C Woodard; Manas R Gartia; Klaus Schulten; Logan Liu
Journal:  ACS Nano       Date:  2012-08-21       Impact factor: 15.881

7.  Homology modeling and molecular dynamics simulations of MUC1-9/H-2K(b) complex suggest novel binding interactions.

Authors:  Athanassios Stavrakoudis; Ioannis G Tsoulos; Katalin Uray; Ferenc Hudecz; Vasso Apostolopoulos
Journal:  J Mol Model       Date:  2010-11-16       Impact factor: 1.810

8.  Ionic Current Rectification Through Silica Nanopores.

Authors:  Eduardo R Cruz-Chu; Aleksei Aksimentiev; Klaus Schulten
Journal:  J Phys Chem C Nanomater Interfaces       Date:  2009-02-01       Impact factor: 4.126

Review 9.  Discovery through the computational microscope.

Authors:  Eric H Lee; Jen Hsin; Marcos Sotomayor; Gemma Comellas; Klaus Schulten
Journal:  Structure       Date:  2009-10-14       Impact factor: 5.006

  9 in total

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