Literature DB >> 21521152

Fragment-based drug design: computational & experimental state of the art.

Laurent Hoffer1, Jean-Paul Renaud, Dragos Horvath.   

Abstract

Fragment-based screening is an emerging technology which is used as an alternative to high-throughput screening (HTS), and often in parallel. Fragment screening focuses on very small compounds. Because of their small size and simplicity, fragments exhibit a low to medium binding affinity (mM to µM) and must therefore be screened at high concentration in order to detect binding events. Since some issues are associated with high-concentration screening in biochemical assays, biophysical methods are generally employed in fragment screening campaigns. Moreover, these techniques are very sensitive and some of them can give precise information about the binding mode of fragments, which facilitates the mandatory hit-to-lead optimization. One of the main advantages of fragment-based screening is that fragment hits generally exhibit a strong binding with respect to their size, and their subsequent optimization should lead to compounds with better pharmacokinetic properties compared to molecules evolved from HTS hits. In other words, fragments are interesting starting points for drug discovery projects. Besides, the chemical space of low-complexity compounds is very limited in comparison to that of drug-like molecules, and thus easier to explore with a screening library of limited size. Furthermore, the "combinatorial explosion" effect ensures that the resulting combinations of interlinked binding fragments may cover a significant part of "drug-like" chemical space. In parallel to experimental screening, virtual screening techniques, dedicated to fragments or wider compounds, are gaining momentum in order to further reduce the number of compounds to test. This article is a review of the latest news in both experimental and in silico virtual screening in the fragment-based discovery field. Given the specificity of this journal, special attention will be given to fragment library design.

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Year:  2011        PMID: 21521152     DOI: 10.2174/138620711795767884

Source DB:  PubMed          Journal:  Comb Chem High Throughput Screen        ISSN: 1386-2073            Impact factor:   1.339


  9 in total

1.  Target-specific NMR detection of protein-ligand interactions with antibody-relayed 15N-group selective STD.

Authors:  Anasztázia Hetényi; Zsófia Hegedűs; Roberta Fajka-Boja; Éva Monostori; Katalin E Kövér; Tamás A Martinek
Journal:  J Biomol NMR       Date:  2016-11-24       Impact factor: 2.835

Review 2.  Fragment-based drug discovery using NMR spectroscopy.

Authors:  Mary J Harner; Andreas O Frank; Stephen W Fesik
Journal:  J Biomol NMR       Date:  2013-05-18       Impact factor: 2.835

3.  Fragment screening of cyclin G-associated kinase by weak affinity chromatography.

Authors:  Elinor Meiby; Stefan Knapp; Jonathan M Elkins; Sten Ohlson
Journal:  Anal Bioanal Chem       Date:  2012-08-24       Impact factor: 4.142

4.  Identification of small-molecule binding pockets in the soluble monomeric form of the Aβ42 peptide.

Authors:  Maximillian Zhu; Alfonso De Simone; Dale Schenk; Gergely Toth; Christopher M Dobson; Michele Vendruscolo
Journal:  J Chem Phys       Date:  2013-07-21       Impact factor: 3.488

5.  A Fragmentation Study on Four Unusual Secoiridoid Trimers, Swerilactones H-K, by Electrospray Tandem Mass Spectrometry.

Authors:  Chang-An Geng; Ji-Jun Chen
Journal:  Nat Prod Bioprospect       Date:  2016-11-14

Review 6.  Theory and applications of covalent docking in drug discovery: merits and pitfalls.

Authors:  Hezekiel Mathambo Kumalo; Soumendranath Bhakat; Mahmoud E S Soliman
Journal:  Molecules       Date:  2015-01-27       Impact factor: 4.411

7.  Towards systematic exploration of chemical space: building the fragment library module in molecular property diagnostic suite.

Authors:  Anamika Singh Gaur; Lijo John; Nandan Kumar; M Ram Vivek; Selvaraman Nagamani; Hridoy Jyoti Mahanta; G Narahari Sastry
Journal:  Mol Divers       Date:  2022-08-04       Impact factor: 3.364

Review 8.  Arginine-based inhibitors of nitric oxide synthase: therapeutic potential and challenges.

Authors:  Jan Víteček; Antonín Lojek; Giuseppe Valacchi; Lukáš Kubala
Journal:  Mediators Inflamm       Date:  2012-09-04       Impact factor: 4.711

Review 9.  NMR-Fragment Based Virtual Screening: A Brief Overview.

Authors:  Meenakshi Singh; Benjamin Tam; Barak Akabayov
Journal:  Molecules       Date:  2018-01-25       Impact factor: 4.411

  9 in total

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