Literature DB >> 19443265

Transforming fragments into candidates: small becomes big in medicinal chemistry.

Gerdien E de Kloe1, David Bailey, Rob Leurs, Iwan J P de Esch.   

Abstract

Fragment-based drug discovery (FBDD) represents a logical and efficient approach to lead discovery and optimisation. It can draw on structural, biophysical and biochemical data, incorporating a wide range of inputs, from precise mode-of-binding information on specific fragments to wider ranging pharmacophoric screening surveys using traditional HTS approaches. It is truly an enabling technology for the imaginative medicinal chemist. In this review, we analyse a representative set of 23 published FBDD studies that describe how low molecular weight fragments are being identified and efficiently transformed into higher molecular weight drug candidates. FBDD is now becoming warmly endorsed by industry as well as academia and the focus on small interacting molecules is making a big scientific impact.

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Year:  2009        PMID: 19443265     DOI: 10.1016/j.drudis.2009.03.009

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  30 in total

1.  Computational fragment-based screening using RosettaLigand: the SAMPL3 challenge.

Authors:  Ashutosh Kumar; Kam Y J Zhang
Journal:  J Comput Aided Mol Des       Date:  2012-01-15       Impact factor: 3.686

2.  The generation of purinome-targeted libraries as a means to diversify ATP-mimetic chemical classes for lead finding.

Authors:  Eduard R Felder; Alessandra Badari; Teresa Disingrini; Sergio Mantegani; Christian Orrenius; Nilla Avanzi; Antonella Isacchi; Barbara Salom
Journal:  Mol Divers       Date:  2012-02-15       Impact factor: 2.943

3.  Quantifying labile protein-ligand interactions using electrospray ionization mass spectrometry.

Authors:  Amr El-Hawiet; Elena N Kitova; Lan Liu; John S Klassen
Journal:  J Am Soc Mass Spectrom       Date:  2010-07-29       Impact factor: 3.109

4.  Crystal structure-based virtual screening for fragment-like ligands of the human histamine H(1) receptor.

Authors:  Chris de Graaf; Albert J Kooistra; Henry F Vischer; Vsevolod Katritch; Martien Kuijer; Mitsunori Shiroishi; So Iwata; Tatsuro Shimamura; Raymond C Stevens; Iwan J P de Esch; Rob Leurs
Journal:  J Med Chem       Date:  2011-11-07       Impact factor: 7.446

5.  A structural chemogenomics analysis of aminergic GPCRs: lessons for histamine receptor ligand design.

Authors:  A J Kooistra; S Kuhne; I J P de Esch; R Leurs; C de Graaf
Journal:  Br J Pharmacol       Date:  2013-09       Impact factor: 8.739

Review 6.  Targeting protein kinases in central nervous system disorders.

Authors:  Laura K Chico; Linda J Van Eldik; D Martin Watterson
Journal:  Nat Rev Drug Discov       Date:  2009-11       Impact factor: 84.694

7.  Fragment-based lead discovery: challenges and opportunities.

Authors:  Chaohong Sun; Andrew M Petros; Philip J Hajduk
Journal:  J Comput Aided Mol Des       Date:  2011-07-06       Impact factor: 3.686

Review 8.  Applying thermodynamic profiling in lead finding and optimization.

Authors:  Gerhard Klebe
Journal:  Nat Rev Drug Discov       Date:  2015-01-23       Impact factor: 84.694

9.  A virtual screen discovers novel, fragment-sized inhibitors of Mycobacterium tuberculosis InhA.

Authors:  Alexander L Perryman; Weixuan Yu; Xin Wang; Sean Ekins; Stefano Forli; Shao-Gang Li; Joel S Freundlich; Peter J Tonge; Arthur J Olson
Journal:  J Chem Inf Model       Date:  2015-02-17       Impact factor: 4.956

10.  Integrated In Silico Fragment-Based Drug Design: Case Study with Allosteric Modulators on Metabotropic Glutamate Receptor 5.

Authors:  Yuemin Bian; Zhiwei Feng; Peng Yang; Xiang-Qun Xie
Journal:  AAPS J       Date:  2017-05-30       Impact factor: 4.009

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