Literature DB >> 17275736

Fragments, network biology and designing multiple ligands.

Richard Morphy1, Zoran Rankovic.   

Abstract

Modulating multiple protein targets simultaneously can be beneficial for treating complex diseases. The redundancy that exists within biological networks means that modulating single proteins might not be sufficient to produce the desired efficacy while, at the same time, minimizing adverse effects. Designing multi-target drugs can be challenging for medicinal chemists, with current lead-discovery strategies often producing large, complex molecules with low ligand efficiency and poor oral bioavailability. Paradoxically, analyses of the relationship between the selectivity of biologically active compounds and their molecular size suggest that promiscuous compounds should typically be smaller than target-selective compounds. A fragment-based approach to multi-target drug discovery could lead to a new generation of compounds with improved physicochemical and pharmacokinetic properties.

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Year:  2006        PMID: 17275736     DOI: 10.1016/j.drudis.2006.12.006

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


  40 in total

1.  Computer-Aided Fragment Growing Strategies to Design Dual Inhibitors of Soluble Epoxide Hydrolase and LTA4 Hydrolase.

Authors:  Lena Hefke; Kerstin Hiesinger; W Felix Zhu; Jan S Kramer; Ewgenij Proschak
Journal:  ACS Med Chem Lett       Date:  2020-04-08       Impact factor: 4.345

2.  Systems chemical biology.

Authors:  Tudor I Oprea; Alexander Tropsha; Jean-Loup Faulon; Mark D Rintoul
Journal:  Nat Chem Biol       Date:  2007-08       Impact factor: 15.040

Review 3.  Ten things you should know about protein kinases: IUPHAR Review 14.

Authors:  Doriano Fabbro; Sandra W Cowan-Jacob; Henrik Moebitz
Journal:  Br J Pharmacol       Date:  2015-03-24       Impact factor: 8.739

4.  Multiple Target Drug Design Using LigBuilder 3.

Authors:  Xiaoyu Qing; Shiwei Wang; Yaxia Yuan; Jianfeng Pei; Luhua Lai
Journal:  Methods Mol Biol       Date:  2021

Review 5.  Computational polypharmacology: a new paradigm for drug discovery.

Authors:  Rajan Chaudhari; Zhi Tan; Beibei Huang; Shuxing Zhang
Journal:  Expert Opin Drug Discov       Date:  2017-01-23       Impact factor: 6.098

Review 6.  Lost but making progress--Where will new analgesic drugs come from?

Authors:  David Borsook; Richard Hargreaves; Chas Bountra; Frank Porreca
Journal:  Sci Transl Med       Date:  2014-08-13       Impact factor: 17.956

Review 7.  Multi-target design strategies in the context of Alzheimer's disease: acetylcholinesterase inhibition and NMDA receptor antagonism as the driving forces.

Authors:  Michela Rosini; Elena Simoni; Anna Minarini; Carlo Melchiorre
Journal:  Neurochem Res       Date:  2014-02-04       Impact factor: 3.996

8.  Identification of diaryl 5-amino-1,2,4-oxadiazoles as tubulin inhibitors: the special case of 3-(2-fluorophenyl)-5-(4-methoxyphenyl)amino-1,2,4-oxadiazole.

Authors:  Andrei A Gakh; Andrey V Sosnov; Mikhail Krasavin; Tam Luong Nguyen; Ernest Hamel
Journal:  Bioorg Med Chem Lett       Date:  2013-01-11       Impact factor: 2.823

9.  Deciphering diseases and biological targets for environmental chemicals using toxicogenomics networks.

Authors:  Karine Audouze; Agnieszka Sierakowska Juncker; Francisco J S S A Roque; Konrad Krysiak-Baltyn; Nils Weinhold; Olivier Taboureau; Thomas Skøt Jensen; Søren Brunak
Journal:  PLoS Comput Biol       Date:  2010-05-20       Impact factor: 4.475

10.  Discovery of leukotriene A4 hydrolase inhibitors using metabolomics biased fragment crystallography.

Authors:  Douglas R Davies; Bjorn Mamat; Olafur T Magnusson; Jeff Christensen; Magnus H Haraldsson; Rama Mishra; Brian Pease; Erik Hansen; Jasbir Singh; David Zembower; Hidong Kim; Alex S Kiselyov; Alex B Burgin; Mark E Gurney; Lance J Stewart
Journal:  J Med Chem       Date:  2009-08-13       Impact factor: 7.446

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