Literature DB >> 21371585

Designing a diverse high-quality library for crystallography-based FBDD screening.

Brett A Tounge1, Michael H Parker.   

Abstract

A well-chosen set of fragments is able to cover a large chemical space using a small number of compounds. The actual size and makeup of the fragment set is dependent on the screening method since each technique has its own practical limits in terms of the number of compounds that can be screened and requirements for compound solubility. In this chapter, an overview of the general requirements for a fragment library is presented for different screening platforms. In the case of the FBDD work at Johnson & Johnson Pharmaceutical Research and Development, L.L.C., our main screening technology is X-ray crystallography. Since every soaked protein crystal needs to be diffracted and a protein structure determined to delineate if a fragment binds, the size of our initial screening library cannot be a rate-limiting factor. For this reason, we have chosen 900 as the appropriate primary fragment library size. To choose the best set, we have developed our own mix of simple property ("Rule of 3") and "bad" substructure filtering. While this gets one a long way in terms of limiting the fragment pool, there are still tens of thousands of compounds to choose from after this initial step. Many of the choices left at this stage are not drug-like, so we have developed an FBDD Score to help select a 900-compound set. The details of this score and the filtering are presented.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21371585     DOI: 10.1016/B978-0-12-381274-2.00001-7

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  5 in total

1.  A three-stage biophysical screening cascade for fragment-based drug discovery.

Authors:  Ellene H Mashalidis; Paweł Śledź; Steffen Lang; Chris Abell
Journal:  Nat Protoc       Date:  2013-10-24       Impact factor: 13.491

2.  Identification of potential glutaminyl cyclase inhibitors from lead-like libraries by in silico and in vitro fragment-based screening.

Authors:  Mária Szaszkó; István Hajdú; Beáta Flachner; Krisztina Dobi; Csaba Magyar; István Simon; Zsolt Lőrincz; Zoltán Kapui; Tamás Pázmány; Sándor Cseh; György Dormán
Journal:  Mol Divers       Date:  2017-01-09       Impact factor: 2.943

3.  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

Review 4.  Concepts and Core Principles of Fragment-Based Drug Design.

Authors:  Philine Kirsch; Alwin M Hartman; Anna K H Hirsch; Martin Empting
Journal:  Molecules       Date:  2019-11-26       Impact factor: 4.411

Review 5.  Biomolecular Simulations with the Three-Dimensional Reference Interaction Site Model with the Kovalenko-Hirata Closure Molecular Solvation Theory.

Authors:  Dipankar Roy; Andriy Kovalenko
Journal:  Int J Mol Sci       Date:  2021-05-11       Impact factor: 5.923

  5 in total

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