Literature DB >> 23061419

Molecular basis for nanoscopic membrane curvature generation from quantum mechanical models and synthetic transporter sequences.

Nathan W Schmidt1, Michael Lis, Kun Zhao, Ghee Hwee Lai, Anastassia N Alexandrova, Gregory N Tew, Gerard C L Wong.   

Abstract

We investigate the physical origin of peptide-induced membrane curvature by contrasting differences between H-bonding interactions of prototypical cationic amino acids, arginine (Arg) and lysine (Lys), with phosphate groups of phospholipid heads using quantum mechanical (QM) calculations of a minimum model and test the results via synthetic oxaorbornene-based transporter sequences without the geometric constraints of polypeptide backbones. QM calculations suggest that although individual Lys can in principle coordinate two phosphates, they are not able to do so at small inter-Lys distances without drastic energetic penalties. In contrast, Arg can coordinate two phosphates down to less than 5 Å, where guanidinium groups can stack "face to face". In agreement with these observations, poly-Lys cannot generate the nanoscale positive curvature necessary for inducing negative Gaussian membrane curvature, in contrast to poly-Arg. Also consistent with QM calculations, polyguanidine-oxanorbornene homopolymers (PGONs) showed that curvature generation is exquisitely sensitive to the guanidinium group spacing when the phosphate groups are near close packing. Addition of phenyl or butyl hydrophobic groups into guanidine-oxanorbornene polymers increased the amount of induced saddle-splay membrane curvature and broadened the range of lipid compositions where saddle-splay curvature was induced. The enhancement of saddle-splay curvature generation and relaxation of lipid composition requirements via addition of hydrophobicity is consistent with membrane activity profiles. While PGON polymers displayed selective antimicrobial activity against prototypical (Gram positive and negative) bacteria, polymers with phenyl and butyl groups were also active against red blood cells. Our results suggest that it is possible to achieve deterministic molecular design of pore-forming peptides.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 23061419      PMCID: PMC4036524          DOI: 10.1021/ja308459j

Source DB:  PubMed          Journal:  J Am Chem Soc        ISSN: 0002-7863            Impact factor:   15.419


  63 in total

Review 1.  Amphipathic, alpha-helical antimicrobial peptides.

Authors:  A Tossi; L Sandri; A Giangaspero
Journal:  Biopolymers       Date:  2000       Impact factor: 2.505

2.  Studies on the internalization mechanism of cationic cell-penetrating peptides.

Authors:  Guillaume Drin; Sylvine Cottin; Emmanuelle Blanc; Anthony R Rees; Jamal Temsamani
Journal:  J Biol Chem       Date:  2003-06-03       Impact factor: 5.157

3.  Atoms, molecules, solids, and surfaces: Applications of the generalized gradient approximation for exchange and correlation.

Authors: 
Journal:  Phys Rev B Condens Matter       Date:  1992-09-15

Review 4.  Noncovalent binding between guanidinium and anionic groups: focus on biological- and synthetic-based arginine/guanidinium interactions with phosph[on]ate and sulf[on]ate residues.

Authors:  Kevin A Schug; Wolfgang Lindner
Journal:  Chem Rev       Date:  2005-01       Impact factor: 60.622

Review 5.  Molecular modeling of organic and biomolecular systems using BOSS and MCPRO.

Authors:  William L Jorgensen; Julian Tirado-Rives
Journal:  J Comput Chem       Date:  2005-12       Impact factor: 3.376

6.  Cellular uptake and subsequent intracellular trafficking of R8-liposomes introduced at low temperature.

Authors:  Akitada Iwasa; Hidetaka Akita; Ikramy Khalil; Kentaro Kogure; Shiroh Futaki; Hideyoshi Harashima
Journal:  Biochim Biophys Acta       Date:  2006-05-05

Review 7.  The design of guanidinium-rich transporters and their internalization mechanisms.

Authors:  Paul A Wender; Wesley C Galliher; Elena A Goun; Lisa R Jones; Thomas H Pillow
Journal:  Adv Drug Deliv Rev       Date:  2007-11-09       Impact factor: 15.470

8.  Electrostatics-defying interaction between arginine termini as a thermodynamic driving force in protein-protein interaction.

Authors:  Deepa Pednekar; Abhijit Tendulkar; Susheel Durani
Journal:  Proteins       Date:  2009-01

9.  In vitro cytotoxicity testing of polycations: influence of polymer structure on cell viability and hemolysis.

Authors:  Dagmar Fischer; Youxin Li; Barbara Ahlemeyer; Josef Krieglstein; Thomas Kissel
Journal:  Biomaterials       Date:  2003-03       Impact factor: 12.479

Review 10.  Twenty years of cell-penetrating peptides: from molecular mechanisms to therapeutics.

Authors:  Frederic Heitz; May Catherine Morris; Gilles Divita
Journal:  Br J Pharmacol       Date:  2009-03-20       Impact factor: 8.739

View more
  26 in total

1.  Unifying structural signature of eukaryotic α-helical host defense peptides.

Authors:  Nannette Y Yount; David C Weaver; Ernest Y Lee; Michelle W Lee; Huiyuan Wang; Liana C Chan; Gerard C L Wong; Michael R Yeaman
Journal:  Proc Natl Acad Sci U S A       Date:  2019-03-15       Impact factor: 11.205

Review 2.  What can machine learning do for antimicrobial peptides, and what can antimicrobial peptides do for machine learning?

Authors:  Ernest Y Lee; Michelle W Lee; Benjamin M Fulan; Andrew L Ferguson; Gerard C L Wong
Journal:  Interface Focus       Date:  2017-10-20       Impact factor: 3.906

Review 3.  Development of protein mimics for intracellular delivery.

Authors:  Brittany M deRonde; Gregory N Tew
Journal:  Biopolymers       Date:  2015-07       Impact factor: 2.505

4.  Mapping membrane activity in undiscovered peptide sequence space using machine learning.

Authors:  Ernest Y Lee; Benjamin M Fulan; Gerard C L Wong; Andrew L Ferguson
Journal:  Proc Natl Acad Sci U S A       Date:  2016-11-14       Impact factor: 11.205

5.  Designing mimics of membrane active proteins.

Authors:  Federica Sgolastra; Brittany M Deronde; Joel M Sarapas; Abhigyan Som; Gregory N Tew
Journal:  Acc Chem Res       Date:  2013-09-05       Impact factor: 22.384

Review 6.  Machine learning-enabled discovery and design of membrane-active peptides.

Authors:  Ernest Y Lee; Gerard C L Wong; Andrew L Ferguson
Journal:  Bioorg Med Chem       Date:  2017-07-08       Impact factor: 3.641

7.  Antimicrobial peptides and induced membrane curvature: geometry, coordination chemistry, and molecular engineering.

Authors:  Nathan W Schmidt; Gerard C L Wong
Journal:  Curr Opin Solid State Mater Sci       Date:  2013-08       Impact factor: 11.354

8.  Viral fusion protein transmembrane domain adopts β-strand structure to facilitate membrane topological changes for virus-cell fusion.

Authors:  Hongwei Yao; Michelle W Lee; Alan J Waring; Gerard C L Wong; Mei Hong
Journal:  Proc Natl Acad Sci U S A       Date:  2015-08-17       Impact factor: 11.205

9.  Influenza virus A M2 protein generates negative Gaussian membrane curvature necessary for budding and scission.

Authors:  Nathan W Schmidt; Abhijit Mishra; Jun Wang; William F DeGrado; Gerard C L Wong
Journal:  J Am Chem Soc       Date:  2013-09-06       Impact factor: 15.419

10.  Two interdependent mechanisms of antimicrobial activity allow for efficient killing in nylon-3-based polymeric mimics of innate immunity peptides.

Authors:  Michelle W Lee; Saswata Chakraborty; Nathan W Schmidt; Rajan Murgai; Samuel H Gellman; Gerard C L Wong
Journal:  Biochim Biophys Acta       Date:  2014-04-14
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.