Literature DB >> 17395455

Bridging from molecular simulation to biochemical networks.

Matthias Stein1, Razif R Gabdoulline, Rebecca C Wade.   

Abstract

How can we make the connection between the three-dimensional structures of individual proteins and understanding how complex biological systems involving many proteins work? The modelling and simulation of protein structures can help to answer this question for systems ranging from multimacromolecular complexes to organelles and cells. On one hand, multiscale modelling and simulation techniques are advancing to permit the spatial and temporal properties of large systems to be simulated using atomic-detail structures. On the other hand, the estimation of kinetic parameters for the mathematical modelling of biochemical pathways using protein structure information provides a basis for iterative manipulation of biochemical pathways guided by protein structure. Recent advances include the structural modelling of protein complexes on the genomic level, novel coarse-graining strategies to increase the size of the system and the time span that can be simulated, and comparative molecular field analyses to estimate enzyme kinetic parameters.

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Year:  2007        PMID: 17395455     DOI: 10.1016/j.sbi.2007.03.014

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


  22 in total

Review 1.  Molecular simulations of protein dynamics: new windows on mechanisms in biology.

Authors:  Guy G Dodson; David P Lane; Chandra S Verma
Journal:  EMBO Rep       Date:  2008-02       Impact factor: 8.807

2.  A force field for virtual atom molecular mechanics of proteins.

Authors:  Anil Korkut; Wayne A Hendrickson
Journal:  Proc Natl Acad Sci U S A       Date:  2009-08-28       Impact factor: 11.205

Review 3.  Multi-scale modeling in biology: how to bridge the gaps between scales?

Authors:  Zhilin Qu; Alan Garfinkel; James N Weiss; Melissa Nivala
Journal:  Prog Biophys Mol Biol       Date:  2011-06-23       Impact factor: 3.667

4.  Integrating Structural Information to Study the Dynamics of Protein-Protein Interactions in Cells.

Authors:  Bo Wang; Zhong-Ru Xie; Jiawen Chen; Yinghao Wu
Journal:  Structure       Date:  2018-08-30       Impact factor: 5.006

Review 5.  Computational algorithms for in silico profiling of activating mutations in cancer.

Authors:  E Joseph Jordan; Keshav Patil; Krishna Suresh; Jin H Park; Yael P Mosse; Mark A Lemmon; Ravi Radhakrishnan
Journal:  Cell Mol Life Sci       Date:  2019-04-13       Impact factor: 9.261

Review 6.  Modelling the molecular mechanisms of synaptic plasticity using systems biology approaches.

Authors:  Jeanette Hellgren Kotaleski; Kim T Blackwell
Journal:  Nat Rev Neurosci       Date:  2010-04       Impact factor: 34.870

Review 7.  Sending signals dynamically.

Authors:  Robert G Smock; Lila M Gierasch
Journal:  Science       Date:  2009-04-10       Impact factor: 47.728

8.  Post-reductionist protein science, or putting Humpty Dumpty back together again.

Authors:  Lila M Gierasch; Anne Gershenson
Journal:  Nat Chem Biol       Date:  2009-11       Impact factor: 15.040

Review 9.  Reaching new levels of realism in modeling biological macromolecules in cellular environments.

Authors:  Michael Feig; Yuji Sugita
Journal:  J Mol Graph Model       Date:  2013-08-28       Impact factor: 2.518

Review 10.  The role of predictive modelling in rationally re-engineering biological systems.

Authors:  Tie Koide; Wyming Lee Pang; Nitin S Baliga
Journal:  Nat Rev Microbiol       Date:  2009-03-02       Impact factor: 60.633

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