Literature DB >> 19495994

Lessons for fragment library design: analysis of output from multiple screening campaigns.

I-Jen Chen1, Roderick E Hubbard.   

Abstract

Over the past 8 years, we have developed, refined and applied a fragment based discovery approach to a range of protein targets. Here we report computational analyses of various aspects of our fragment library and the results obtained for fragment screening. We reinforce the finding of others that the experimentally observed hit rate for screening fragments can be related to a computationally defined druggability index for the target. In general, the physicochemical properties of the fragment hits display the same profile as the library, as is expected for a truly diverse library which probes the relevant chemical space. An analysis of the fragment hits against various protein classes has shown that the physicochemical properties of the fragments are complementary to the properties of the target binding site. The effectiveness of some fragments appears to be achieved by an appropriate mix of pharmacophore features and enhanced aromaticity, with hydrophobic interactions playing an important role. The analysis emphasizes that it is possible to identify small fragments that are specific for different binding sites. To conclude, we discuss how the results could inform further development and improvement of our fragment library.

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Year:  2009        PMID: 19495994     DOI: 10.1007/s10822-009-9280-5

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  74 in total

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Authors:  P J Hajduk; A Gomtsyan; S Didomenico; M Cowart; E K Bayburt; L Solomon; J Severin; R Smith; K Walter; T F Holzman; A Stewart; S McGaraughty; M F Jarvis; E A Kowaluk; S W Fesik
Journal:  J Med Chem       Date:  2000-12-14       Impact factor: 7.446

2.  Molecular scaffold-based design and comparison of combinatorial libraries focused on the ATP-binding site of protein kinases.

Authors:  F L Stahura; L Xue; J W Godden; J Bajorath
Journal:  J Mol Graph Model       Date:  1999-02       Impact factor: 2.518

3.  Comprehensive identification of "druggable" protein ligand binding sites.

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Review 4.  Predicting protein druggability.

Authors:  Philip J Hajduk; Jeffrey R Huth; Christin Tse
Journal:  Drug Discov Today       Date:  2005-12       Impact factor: 7.851

5.  A simple and fuzzy method to align and compare druggable ligand-binding sites.

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6.  Identifying and characterizing binding sites and assessing druggability.

Authors:  Thomas A Halgren
Journal:  J Chem Inf Model       Date:  2009-02       Impact factor: 4.956

7.  Differences between high- and low-affinity complexes of enzymes and nonenzymes.

Authors:  Heather A Carlson; Richard D Smith; Nickolay A Khazanov; Paul D Kirchhoff; James B Dunbar; Mark L Benson
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8.  New antibacterial agents derived from the DNA gyrase inhibitor cyclothialidine.

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Journal:  J Med Chem       Date:  2004-03-11       Impact factor: 7.446

9.  Discovery of dibenzo[c,f][2,7]naphthyridines as potent and selective 3-phosphoinositide-dependent kinase-1 inhibitors.

Authors:  Ariamala Gopalsamy; Mengxiao Shi; Diane H Boschelli; Robert Williamson; Andrea Olland; Yongbo Hu; Girija Krishnamurthy; Xin Han; Kim Arndt; Bing Guo
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10.  Structural basis for high-affinity peptide inhibition of human Pin1.

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  22 in total

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Authors:  Georgiana Surpateanu; Bogdan I Iorga
Journal:  J Comput Aided Mol Des       Date:  2011-12-17       Impact factor: 3.686

2.  Integrated biophysical approach to fragment screening and validation for fragment-based lead discovery.

Authors:  Hernani Leonardo Silvestre; Thomas L Blundell; Chris Abell; Alessio Ciulli
Journal:  Proc Natl Acad Sci U S A       Date:  2013-07-19       Impact factor: 11.205

3.  Design of a multi-purpose fragment screening library using molecular complexity and orthogonal diversity metrics.

Authors:  Wan F Lau; Jane M Withka; David Hepworth; Thomas V Magee; Yuhua J Du; Gregory A Bakken; Michael D Miller; Zachary S Hendsch; Venkataraman Thanabal; Steve A Kolodziej; Li Xing; Qiyue Hu; Lakshmi S Narasimhan; Robert Love; Maura E Charlton; Samantha Hughes; Willem P van Hoorn; James E Mills
Journal:  J Comput Aided Mol Des       Date:  2011-05-21       Impact factor: 3.686

4.  Fragment Screening by NMR.

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Journal:  Methods Mol Biol       Date:  2021

5.  Dynamic undocking and the quasi-bound state as tools for drug discovery.

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Review 6.  Approaches to target tractability assessment - a practical perspective.

Authors:  Kristin K Brown; Michael M Hann; Ami S Lakdawala; Rita Santos; Pamela J Thomas; Kieran Todd
Journal:  Medchemcomm       Date:  2018-02-14       Impact factor: 3.597

7.  Fragment screening by surface plasmon resonance.

Authors:  Iva Navratilova; Andrew L Hopkins
Journal:  ACS Med Chem Lett       Date:  2010-02-04       Impact factor: 4.345

Review 8.  Twenty years on: the impact of fragments on drug discovery.

Authors:  Daniel A Erlanson; Stephen W Fesik; Roderick E Hubbard; Wolfgang Jahnke; Harren Jhoti
Journal:  Nat Rev Drug Discov       Date:  2016-07-15       Impact factor: 84.694

9.  Correlation between protein function and ligand binding profiles.

Authors:  Matthew D Shortridge; Michael Bokemper; Jennifer C Copeland; Jaime L Stark; Robert Powers
Journal:  J Proteome Res       Date:  2011-03-22       Impact factor: 4.466

10.  Design of a fragment library that maximally represents available chemical space.

Authors:  M N Schulz; J Landström; K Bright; R E Hubbard
Journal:  J Comput Aided Mol Des       Date:  2011-07-27       Impact factor: 3.686

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