Literature DB >> 15379706

Peptides and proteins in membranes: what can we learn via computer simulations?

R G Efremov1, D E Nolde, A G Konshina, N P Syrtcev, A S Arseniev.   

Abstract

Membrane and membrane-active peptides and proteins play a crucial role in numerous cell processes, such as signaling, ion conductance, fusion, and others. Many of them act as highly specific and efficient drugs or drug targets, and, therefore, attract growing interest of medicinal chemists. Because of experimental difficulties with characterization of their spatial structure and mode of membrane binding, essential attention is given now to molecular modeling techniques. During the last years an important progress has been achieved in molecular dynamics (MD) and Monte Carlo (MC) simulations of peptides and proteins with explicit and/or implicit theoretical models of membranes. The first ones allow atomic-resolution studies of peptides behavior on the membrane-water interfaces. Models with implicit consideration of membrane are of a special interest because of their computational efficiency and ability to account for principal trends in protein-lipid interactions. In this approximation, the bilayer is usually treated as continuum whose properties vary along the membrane thickness, and membrane insertion is simulated using either MC or MD methods. This review surveys recent applications of both types of lipid bilayer models in computer simulations of a wide variety of peptides and proteins with different biological activities. Theoretical background of the membrane models is considered with examples of their applications to biologically relevant problems. The emphasis of the review is made on recent MC and MD computations, on structural and/or functional information, which may be obtained via molecular modeling. The approximations and shortcomings of the models, along with their perspectives in design of new membrane active drugs, are discussed.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15379706     DOI: 10.2174/0929867043364496

Source DB:  PubMed          Journal:  Curr Med Chem        ISSN: 0929-8673            Impact factor:   4.530


  9 in total

Review 1.  Structure elucidation of dimeric transmembrane domains of bitopic proteins.

Authors:  Eduard V Bocharov; Pavel E Volynsky; Konstantin V Pavlov; Roman G Efremov; Alexander S Arseniev
Journal:  Cell Adh Migr       Date:  2010-05-01       Impact factor: 3.405

Review 2.  Latarcins: versatile spider venom peptides.

Authors:  Peter V Dubovskii; Alexander A Vassilevski; Sergey A Kozlov; Alexey V Feofanov; Eugene V Grishin; Roman G Efremov
Journal:  Cell Mol Life Sci       Date:  2015-08-19       Impact factor: 9.261

3.  A generalized born implicit-membrane representation compared to experimental insertion free energies.

Authors:  Martin B Ulmschneider; Jakob P Ulmschneider; Mark S P Sansom; Alfredo Di Nola
Journal:  Biophys J       Date:  2007-01-11       Impact factor: 4.033

4.  Membrane-protein interactions in a generic coarse-grained model for lipid bilayers.

Authors:  Beate West; Frank L H Brown; Friederike Schmid
Journal:  Biophys J       Date:  2009-01       Impact factor: 4.033

5.  Association of transmembrane helices: what determines assembling of a dimer?

Authors:  Roman G Efremov; Yana A Vereshaga; Pavel E Volynsky; Dmitry E Nolde; Alexander S Arseniev
Journal:  J Comput Aided Mol Des       Date:  2006-05-19       Impact factor: 3.686

6.  Flexibility of ras lipid modifications studied by 2H solid-state NMR and molecular dynamics simulations.

Authors:  Alexander Vogel; Kui-Thong Tan; Herbert Waldmann; Scott E Feller; Michael F Brown; Daniel Huster
Journal:  Biophys J       Date:  2007-06-08       Impact factor: 4.033

7.  OPM database and PPM web server: resources for positioning of proteins in membranes.

Authors:  Mikhail A Lomize; Irina D Pogozheva; Hyeon Joo; Henry I Mosberg; Andrei L Lomize
Journal:  Nucleic Acids Res       Date:  2011-09-02       Impact factor: 16.971

8.  The role of hydrophobic interactions in positioning of peripheral proteins in membranes.

Authors:  Andrei L Lomize; Irina D Pogozheva; Mikhail A Lomize; Henry I Mosberg
Journal:  BMC Struct Biol       Date:  2007-06-29

9.  Modeling the structure of SARS 3a transmembrane protein using a minimum unfavorable contact approach.

Authors:  S Ramakrishna; Siladitya Padhi; U Deva Priyakumar
Journal:  J Chem Sci (Bangalore)       Date:  2015-12-09
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.