Heifetz, A;
Southey, M;
Morao, I;
Townsend-Nicholson, A;
Bodkin, MJ;
(2017)
Computational Methods Used in Hit-to-Lead and Lead Optimization Stages of Structure-Based Drug Discovery.
Methods in Molecular Biology
, 1705
pp. 375-394.
10.1007/978-1-4939-7465-8_19.
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Abstract
GPCR modeling approaches are widely used in the hit-to-lead (H2L) and lead optimization (LO) stages of drug discovery. The aims of these modeling approaches are to predict the 3D structures of the receptor-ligand complexes, to explore the key interactions between the receptor and the ligand and to utilize these insights in the design of new molecules with improved binding, selectivity or other pharmacological properties. In this book chapter, we present a brief survey of key computational approaches integrated with hierarchical GPCR modeling protocol (HGMP) used in hit-to-lead (H2L) and in lead optimization (LO) stages of structure-based drug discovery (SBDD). We outline the differences in modeling strategies used in H2L and LO of SBDD and illustrate how these tools have been applied in three drug discovery projects.
Type: | Article |
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Title: | Computational Methods Used in Hit-to-Lead and Lead Optimization Stages of Structure-Based Drug Discovery |
Location: | United States |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1007/978-1-4939-7465-8_19 |
Publisher version: | http://dx.doi.org/10.1007/978-1-4939-7465-8_19 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Docking, G protein-coupled receptor, Hit-to-lead, Lead optimization, Molecular dynamics, Simulation, Structure-based drug design |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Structural and Molecular Biology |
URI: | https://discovery.ucl.ac.uk/id/eprint/10043091 |
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