Literature DB >> 22155026

Structural modelling and dynamics of proteins for insights into drug interactions.

Tim Werner1, Michael B Morris, Siavoush Dastmalchi, W Bret Church.   

Abstract

Proteins are the workhorses of biomolecules and their function is affected by their structure and their structural rearrangements during ligand entry, ligand binding and protein-protein interactions. Hence, the knowledge of protein structure and, importantly, the dynamic behaviour of the structure are critical for understanding how the protein performs its function. The predictions of the structure and the dynamic behaviour can be performed by combinations of structure modelling and molecular dynamics simulations. The simulations also need to be sensitive to the constraints of the environment in which the protein resides. Standard computational methods now exist in this field to support the experimental effort of solving protein structures. This review presents a comprehensive overview of the basis of the calculations and the well-established computational methods used to generate and understand protein structure and function and the study of their dynamic behaviour with the reference to lung-related targets. Copyright Â
© 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 22155026     DOI: 10.1016/j.addr.2011.11.011

Source DB:  PubMed          Journal:  Adv Drug Deliv Rev        ISSN: 0169-409X            Impact factor:   15.470


  11 in total

1.  Identification of Distinct Conformations of the Angiotensin-II Type 1 Receptor Associated with the Gq/11 Protein Pathway and the β-Arrestin Pathway Using Molecular Dynamics Simulations.

Authors:  Jérôme Cabana; Brian Holleran; Richard Leduc; Emanuel Escher; Gaétan Guillemette; Pierre Lavigne
Journal:  J Biol Chem       Date:  2015-05-01       Impact factor: 5.157

2.  Critical hydrogen bond formation for activation of the angiotensin II type 1 receptor.

Authors:  Jérôme Cabana; Brian Holleran; Marie-Ève Beaulieu; Richard Leduc; Emanuel Escher; Gaétan Guillemette; Pierre Lavigne
Journal:  J Biol Chem       Date:  2012-12-07       Impact factor: 5.157

Review 3.  Snake venoms: attractive antimicrobial proteinaceous compounds for therapeutic purposes.

Authors:  Nelson Gomes de Oliveira Junior; Marlon Henrique e Silva Cardoso; Octavio Luiz Franco
Journal:  Cell Mol Life Sci       Date:  2013-05-09       Impact factor: 9.261

4.  Accelerating Virtual High-Throughput Ligand Docking: current technology and case study on a petascale supercomputer.

Authors:  Sally R Ellingson; Sivanesan Dakshanamurthy; Milton Brown; Jeremy C Smith; Jerome Baudry
Journal:  Concurr Comput       Date:  2014-04-25       Impact factor: 1.536

5.  Coarse-Grained Models for Protein-Cell Membrane Interactions.

Authors:  Ryan Bradley; Ravi Radhakrishnan
Journal:  Polymers (Basel)       Date:  2013       Impact factor: 4.329

6.  Immobilised histidine tagged β2-adrenoceptor oriented by a diazonium salt reaction and its application in exploring drug-protein interaction using ephedrine and pseudoephedrine as probes.

Authors:  Qian Li; Liujiao Bian; Xinfeng Zhao; Xiaokang Gao; Jianbin Zheng; Zijian Li; Youyi Zhang; Ru Jiang; Xiaohui Zheng
Journal:  PLoS One       Date:  2014-04-18       Impact factor: 3.240

7.  A structural and energetic model for the slow-onset inhibition of the Mycobacterium tuberculosis enoyl-ACP reductase InhA.

Authors:  Huei-Jiun Li; Cheng-Tsung Lai; Pan Pan; Weixuan Yu; Nina Liu; Gopal R Bommineni; Miguel Garcia-Diaz; Carlos Simmerling; Peter J Tonge
Journal:  ACS Chem Biol       Date:  2014-03-10       Impact factor: 5.100

Review 8.  Structure of fish Toll-like receptors (TLR) and NOD-like receptors (NLR).

Authors:  Bikash Ranjan Sahoo
Journal:  Int J Biol Macromol       Date:  2020-08-02       Impact factor: 6.953

9.  RGD-hirudin-based low molecular weight peptide prevents blood coagulation via subcutaneous injection.

Authors:  Ya-Ran Li; Yi-Nong Huang; Bing Zhao; Meng-Fang Wu; Tian-Yu Li; Yan-Ling Zhang; Di Chen; Min Yu; Wei Mo
Journal:  Acta Pharmacol Sin       Date:  2020-01-16       Impact factor: 6.150

10.  A Benchmark Dataset for Evaluating Practical Performance of Model Quality Assessment of Homology Models.

Authors:  Yuma Takei; Takashi Ishida
Journal:  Bioengineering (Basel)       Date:  2022-03-15
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