Literature DB >> 31244051

Uncovering the Binding Mode of γ -Secretase Inhibitors.

Manuel Hitzenberger1, Martin Zacharias1.   

Abstract

Knowledge of how transition state inhibitors bind to γ-secretase is of major importance for the design of new Alzheimer's disease therapies. On the basis of the known structure of γ-secretase in complex with a fragment of the amyloid precursor protein, we generated a structural model of γ-secretase in complex with the effective L-685,458 transition state inhibitor. The predicted binding mode is in excellent agreement with experimental data, mimicking all enzyme-substrate interactions at the active site and forming the relevant transition state geometry with the active site aspartate residues. The model also indicates the possible location and nature of the amino acid residues forming the proposed binding pockets S1', S2', and S3' near the active site that are occupied by chemical groups of the inhibitor. In addition, we found that the stability of the complex is very likely sensitive to the pH value. Comparative simulations on the binding of L-685,458 and the epimer L682,679 allowed us to explain the strongly reduced affinity of the epimer for γ-secretase. The structural model could form a valuable basis for the design of new or modified γ-secretase inhibitors.

Entities:  

Keywords:  enzyme dynamics; enzyme inhibition; ligand−receptor docking; γ-Secretase drug binding; γ-secretase transition state inhibition

Year:  2019        PMID: 31244051     DOI: 10.1021/acschemneuro.9b00272

Source DB:  PubMed          Journal:  ACS Chem Neurosci        ISSN: 1948-7193            Impact factor:   4.418


  8 in total

1.  Active site geometry stabilization of a presenilin homolog by the lipid bilayer promotes intramembrane proteolysis.

Authors:  Lukas P Feilen; Shu-Yu Chen; Akio Fukumori; Regina Feederle; Martin Zacharias; Harald Steiner
Journal:  Elife       Date:  2022-05-17       Impact factor: 8.713

2.  An internal docking site stabilizes substrate binding to γ-secretase: Analysis by molecular dynamics simulations.

Authors:  Shu-Yu Chen; Martin Zacharias
Journal:  Biophys J       Date:  2022-05-20       Impact factor: 3.699

Review 3.  Structure and mechanism of the γ-secretase intramembrane protease complex.

Authors:  Michael S Wolfe; Yinglong Miao
Journal:  Curr Opin Struct Biol       Date:  2022-04-20       Impact factor: 7.786

4.  Structure and dynamics of γ-secretase with presenilin 2 compared to presenilin 1.

Authors:  Budheswar Dehury; Ning Tang; Tom L Blundell; Kasper P Kepp
Journal:  RSC Adv       Date:  2019-07-04       Impact factor: 4.036

5.  Super-resolution microscopy reveals majorly mono- and dimeric presenilin1/γ-secretase at the cell surface.

Authors:  Abril Angélica Escamilla-Ayala; Ragna Sannerud; Magali Mondin; Karin Poersch; Wendy Vermeire; Laura Paparelli; Caroline Berlage; Marcelle Koenig; Lucia Chavez-Gutierrez; Maximilian H Ulbrich; Sebastian Munck; Hideaki Mizuno; Wim Annaert
Journal:  Elife       Date:  2020-07-07       Impact factor: 8.140

6.  Mechanisms of γ-Secretase Activation and Substrate Processing.

Authors:  Apurba Bhattarai; Sujan Devkota; Sanjay Bhattarai; Michael S Wolfe; Yinglong Miao
Journal:  ACS Cent Sci       Date:  2020-06-04       Impact factor: 14.553

Review 7.  Recent Developments in New Therapeutic Agents against Alzheimer and Parkinson Diseases: In-Silico Approaches.

Authors:  Pedro Cruz-Vicente; Luís A Passarinha; Samuel Silvestre; Eugenia Gallardo
Journal:  Molecules       Date:  2021-04-11       Impact factor: 4.411

8.  A thermodynamic investigation of amyloid precursor protein processing by human γ-secretase.

Authors:  Xiaoli Lu; Jing Huang
Journal:  Commun Biol       Date:  2022-08-18
  8 in total

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