Literature DB >> 18703072

A molecular dynamics study of the interaction of D-peptide amyloid inhibitors with their target sequence reveals a potential inhibitory pharmacophore conformation.

Alexandra Esteras-Chopo1, Giulia Morra, Elisabetta Moroni, Luis Serrano, Manuela Lopez de la Paz, Giorgio Colombo.   

Abstract

The self-assembly of soluble proteins and peptides into beta-sheet-rich oligomeric structures and insoluble fibrils is a hallmark of a large number of human diseases known as amyloid diseases. Drugs that are able to interfere with these processes may be able to prevent and/or cure these diseases. Experimental difficulties in the characterization of the intermediates involved in the amyloid formation process have seriously hampered the application of rational drug design approaches to the inhibition of amyloid formation and growth. Recently, short model peptide systems have proved useful in understanding the relationship between amino acid sequence and amyloid formation using both experimental and theoretical approaches. Moreover, short D-peptide sequences have been shown to specifically interfere with those short amyloid stretches in proteins, blocking oligomer formation or disassembling mature fibrils. With the aim of rationalizing which interactions drive the binding of inhibitors to nascent beta-sheet oligomers, in this study, we have carried out extensive molecular dynamics simulations of the interaction of selected d-peptide sequences with oligomers of the target model sequence STVIIE. Structural analysis of the simulations helped to identify the molecular determinants of an inhibitory core whose conformational and physicochemical properties are actually shared by nonpeptidic small-molecule inhibitors of amyloidogenesis. Selection of one of these small molecules and experimental validation against our model system proved that it was indeed an effective inhibitor of fibril formation by the STVIIE sequence, supporting theoretical predictions. We propose that the inhibitory determinants derived from this work be used as structural templates in the development of pharmacophore models for the identification of novel nonpeptidic inhibitors of aggregation.

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Year:  2008        PMID: 18703072     DOI: 10.1016/j.jmb.2008.07.076

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  5 in total

1.  Destruction of amyloid fibrils of keratoepithelin peptides by laser irradiation coupled with amyloid-specific thioflavin T.

Authors:  Daisaku Ozawa; Yuichi Kaji; Hisashi Yagi; Kazumasa Sakurai; Toru Kawakami; Hironobu Naiki; Yuji Goto
Journal:  J Biol Chem       Date:  2011-02-07       Impact factor: 5.157

2.  Alzheimer's protective A2T mutation changes the conformational landscape of the Aβ₁₋₄₂ monomer differently than does the A2V mutation.

Authors:  Payel Das; Brian Murray; Georges Belfort
Journal:  Biophys J       Date:  2015-02-03       Impact factor: 4.033

3.  Non-peptidic thrombospondin-1 mimics as fibroblast growth factor-2 inhibitors: an integrated strategy for the development of new antiangiogenic compounds.

Authors:  Giorgio Colombo; Barbara Margosio; Laura Ragona; Marco Neves; Silvia Bonifacio; Douglas S Annis; Matteo Stravalaci; Simona Tomaselli; Raffaella Giavazzi; Marco Rusnati; Marco Presta; Lucia Zetta; Deane F Mosher; Domenico Ribatti; Marco Gobbi; Giulia Taraboletti
Journal:  J Biol Chem       Date:  2010-01-07       Impact factor: 5.157

4.  Virtual and In Vitro Screens Reveal a Potential Pharmacophore that Avoids the Fibrillization of Aβ1-42.

Authors:  Maricarmen Hernández-Rodríguez; José Correa-Basurto; María Inés Nicolás-Vázquez; René Miranda-Ruvalcaba; Claudia Guadalupe Benítez-Cardoza; Aldo Arturo Reséndiz-Albor; Juan Vicente Méndez-Méndez; Martha C Rosales-Hernández
Journal:  PLoS One       Date:  2015-07-14       Impact factor: 3.240

5.  Emergence of Alternative Structures in Amyloid Beta 1-42 Monomeric Landscape by N-terminal Hexapeptide Amyloid Inhibitors.

Authors:  Srirupa Chakraborty; Payel Das
Journal:  Sci Rep       Date:  2017-08-30       Impact factor: 4.379

  5 in total

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