Literature DB >> 28157311

Structure-Based Library Design and Fragment Screening for the Identification of Reversible Complement Factor D Protease Inhibitors.

Anna Vulpetti1, Stefan Randl1, Simon Rüdisser1, Nils Ostermann1, Paul Erbel1, Aengus Mac Sweeney1, Thomas Zoller1, Bahaa Salem1, Bernd Gerhartz1, Frederic Cumin1, Ulrich Hommel1, Claudio Dalvit1, Edwige Lorthiois1, Jürgen Maibaum1.   

Abstract

Chronic dysregulation of alternative complement pathway activation has been associated with diverse clinical disorders including age-related macular degeneration and paroxysmal nocturnal hemoglobinurea. Factor D is a trypsin-like serine protease with a narrow specificity for arginine in the P1 position, which catalyzes the first enzymatic reaction of the amplification loop of the alternative pathway. In this article, we describe two hit finding approaches leading to the discovery of new chemical matter for this pivotal protease of the complement system: in silico active site mapping for hot spot identification to guide rational structure-based design and NMR screening of focused and diverse fragment libraries. The wealth of information gathered by these complementary approaches enabled the identification of ligands binding to different subpockets of the latent Factor D conformation and was instrumental for understanding the binding requirements for the generation of the first known potent noncovalent reversible Factor D inhibitors.

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Year:  2017        PMID: 28157311     DOI: 10.1021/acs.jmedchem.6b01684

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  4 in total

1.  Discovery and Design of First Benzylamine-Based Ligands Binding to an Unlocked Conformation of the Complement Factor D.

Authors:  Anna Vulpetti; Nils Ostermann; Stefan Randl; Taeyoung Yoon; Aengus Mac Sweeney; Frederic Cumin; Edwige Lorthiois; Simon Rüdisser; Paul Erbel; Jürgen Maibaum
Journal:  ACS Med Chem Lett       Date:  2018-04-24       Impact factor: 4.345

Review 2.  Novel Insights into Factor D Inhibition.

Authors:  Eleni Gavriilaki; Anna Papakonstantinou; Konstantinos A Agrios
Journal:  Int J Mol Sci       Date:  2022-06-29       Impact factor: 6.208

Review 3.  The renaissance of complement therapeutics.

Authors:  Daniel Ricklin; Dimitrios C Mastellos; Edimara S Reis; John D Lambris
Journal:  Nat Rev Nephrol       Date:  2017-12-04       Impact factor: 28.314

4.  Pharmaceutical Machine Learning: Virtual High-Throughput Screens Identifying Promising and Economical Small Molecule Inhibitors of Complement Factor C1s.

Authors:  Jonathan J Chen; Lyndsey N Schmucker; Donald P Visco
Journal:  Biomolecules       Date:  2018-05-07
  4 in total

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