Literature DB >> 30999240

Computational approaches to macromolecular interactions in the cell.

Ilya A Vakser1, Eric J Deeds2.   

Abstract

Structural modeling of a cell is an evolving strategic direction in computational structural biology. It takes advantage of new powerful modeling techniques, deeper understanding of fundamental principles of molecular structure and assembly, and rapid growth of the amount of structural data generated by experimental techniques. Key modeling approaches to principal types of macromolecular assemblies in a cell already exist. The main challenge, along with the further development of these modeling approaches, is putting them together in a consistent, unified whole cell model. This opinion piece addresses the fundamental aspects of modeling macromolecular assemblies in a cell, and the state-of-the-art in modeling of the principal types of such assemblies.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Year:  2019        PMID: 30999240      PMCID: PMC6692245          DOI: 10.1016/j.sbi.2019.03.012

Source DB:  PubMed          Journal:  Curr Opin Struct Biol        ISSN: 0959-440X            Impact factor:   6.809


  68 in total

1.  Large-scale characteristics of the energy landscape in protein-protein interactions.

Authors:  Nicholas O'Toole; Ilya A Vakser
Journal:  Proteins       Date:  2008-04

2.  The size of the intermolecular energy funnel in protein-protein interactions.

Authors:  Jagtar Hunjan; Andrey Tovchigrechko; Ying Gao; Ilya A Vakser
Journal:  Proteins       Date:  2008-07

3.  Expanding the toolkit for membrane protein modeling in Rosetta.

Authors:  Julia Koehler Leman; Benjamin K Mueller; Jeffrey J Gray
Journal:  Bioinformatics       Date:  2017-03-01       Impact factor: 6.937

Review 4.  Low-resolution structural modeling of protein interactome.

Authors:  Ilya A Vakser
Journal:  Curr Opin Struct Biol       Date:  2013-01-05       Impact factor: 6.809

5.  A whole-cell computational model predicts phenotype from genotype.

Authors:  Jonathan R Karr; Jayodita C Sanghvi; Derek N Macklin; Miriam V Gutschow; Jared M Jacobs; Benjamin Bolival; Nacyra Assad-Garcia; John I Glass; Markus W Covert
Journal:  Cell       Date:  2012-07-20       Impact factor: 41.582

Review 6.  Interaction proteomics by using in-cell NMR spectroscopy.

Authors:  Leonard Breindel; David S Burz; Alexander Shekhtman
Journal:  J Proteomics       Date:  2018-02-08       Impact factor: 4.044

7.  Memdock: an α-helical membrane protein docking algorithm.

Authors:  Naama Hurwitz; Dina Schneidman-Duhovny; Haim J Wolfson
Journal:  Bioinformatics       Date:  2016-04-08       Impact factor: 6.937

8.  Perspective: On the importance of hydrodynamic interactions in the subcellular dynamics of macromolecules.

Authors:  Jeffrey Skolnick
Journal:  J Chem Phys       Date:  2016-09-14       Impact factor: 3.488

9.  Crowding in Cellular Environments at an Atomistic Level from Computer Simulations.

Authors:  Michael Feig; Isseki Yu; Po-Hung Wang; Grzegorz Nawrocki; Yuji Sugita
Journal:  J Phys Chem B       Date:  2017-07-12       Impact factor: 2.991

10.  Template-based protein-protein docking exploiting pairwise interfacial residue restraints.

Authors:  Li C Xue; João P G L M Rodrigues; Drena Dobbs; Vasant Honavar; Alexandre M J J Bonvin
Journal:  Brief Bioinform       Date:  2017-05-01       Impact factor: 11.622

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  3 in total

Review 1.  Challenges in protein docking.

Authors:  Ilya A Vakser
Journal:  Curr Opin Struct Biol       Date:  2020-08-21       Impact factor: 6.809

Review 2.  A comprehensive review on genomics, systems biology and structural biology approaches for combating antimicrobial resistance in ESKAPE pathogens: computational tools and recent advancements.

Authors:  P Priyamvada; Reetika Debroy; Anand Anbarasu; Sudha Ramaiah
Journal:  World J Microbiol Biotechnol       Date:  2022-07-05       Impact factor: 3.312

3.  Docking-based long timescale simulation of cell-size protein systems at atomic resolution.

Authors:  Ilya A Vakser; Sergei Grudinin; Nathan W Jenkins; Petras J Kundrotas; Eric J Deeds
Journal:  Proc Natl Acad Sci U S A       Date:  2022-10-03       Impact factor: 12.779

  3 in total

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