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Large-Scale Crystallographic Fragment Screening Expedites Compound Optimization and Identifies Putative Protein-Protein Interaction Sites

Barthel, Tatjana ; Wollenhaupt, Jan ; Lima, Gustavo M.A. LU orcid ; Wahl, Markus C. and Weiss, Manfred S. (2022) In Journal of Medicinal Chemistry 65(21). p.14630-14641
Abstract

The identification of starting points for compound development is one of the key steps in early-stage drug discovery. Information-rich techniques such as crystallographic fragment screening can potentially increase the efficiency of this step by providing the structural information of the binding mode of the ligands in addition to the mere binding information. Here, we present the crystallographic screening of our 1000-plus-compound F2X-Universal Library against the complex of the yeast spliceosomal Prp8 RNaseH-like domain and the snRNP assembly factor Aar2. The observed 269 hits are distributed over 10 distinct binding sites on the surface of the protein-protein complex. Our work shows that hit clusters from large-scale... (More)

The identification of starting points for compound development is one of the key steps in early-stage drug discovery. Information-rich techniques such as crystallographic fragment screening can potentially increase the efficiency of this step by providing the structural information of the binding mode of the ligands in addition to the mere binding information. Here, we present the crystallographic screening of our 1000-plus-compound F2X-Universal Library against the complex of the yeast spliceosomal Prp8 RNaseH-like domain and the snRNP assembly factor Aar2. The observed 269 hits are distributed over 10 distinct binding sites on the surface of the protein-protein complex. Our work shows that hit clusters from large-scale crystallographic fragment screening campaigns identify known interaction sites with other proteins and suggest putative additional interaction sites. Furthermore, the inherent binding pose validation within the hit clusters may accelerate downstream compound optimization.

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author
; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Journal of Medicinal Chemistry
volume
65
issue
21
pages
12 pages
publisher
The American Chemical Society (ACS)
external identifiers
  • scopus:85140624045
  • pmid:36260741
ISSN
0022-2623
DOI
10.1021/acs.jmedchem.2c01165
language
English
LU publication?
yes
id
6776d232-d060-4cba-bba8-c0abde226fe1
date added to LUP
2023-01-16 12:38:42
date last changed
2024-06-13 01:38:31
@article{6776d232-d060-4cba-bba8-c0abde226fe1,
  abstract     = {{<p>The identification of starting points for compound development is one of the key steps in early-stage drug discovery. Information-rich techniques such as crystallographic fragment screening can potentially increase the efficiency of this step by providing the structural information of the binding mode of the ligands in addition to the mere binding information. Here, we present the crystallographic screening of our 1000-plus-compound F2X-Universal Library against the complex of the yeast spliceosomal Prp8 RNaseH-like domain and the snRNP assembly factor Aar2. The observed 269 hits are distributed over 10 distinct binding sites on the surface of the protein-protein complex. Our work shows that hit clusters from large-scale crystallographic fragment screening campaigns identify known interaction sites with other proteins and suggest putative additional interaction sites. Furthermore, the inherent binding pose validation within the hit clusters may accelerate downstream compound optimization.</p>}},
  author       = {{Barthel, Tatjana and Wollenhaupt, Jan and Lima, Gustavo M.A. and Wahl, Markus C. and Weiss, Manfred S.}},
  issn         = {{0022-2623}},
  language     = {{eng}},
  month        = {{11}},
  number       = {{21}},
  pages        = {{14630--14641}},
  publisher    = {{The American Chemical Society (ACS)}},
  series       = {{Journal of Medicinal Chemistry}},
  title        = {{Large-Scale Crystallographic Fragment Screening Expedites Compound Optimization and Identifies Putative Protein-Protein Interaction Sites}},
  url          = {{http://dx.doi.org/10.1021/acs.jmedchem.2c01165}},
  doi          = {{10.1021/acs.jmedchem.2c01165}},
  volume       = {{65}},
  year         = {{2022}},
}