Linker prediction in fragment-based drug design.
Fragment-based drug design is a drug discovery technique where 2 fragments each having some degree of pharmacological activity is covalently tethered together using a linker to reap the energetic benefit of their combined pharmacological action. However, the effects of the linker on the binding ener...
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sg-ntu-dr.10356-467082023-02-28T23:11:14Z Linker prediction in fragment-based drug design. Nyam, Ching Wee. Mu Yuguang School of Physical and Mathematical Sciences DRNTU::Science::Biological sciences::Biophysics Fragment-based drug design is a drug discovery technique where 2 fragments each having some degree of pharmacological activity is covalently tethered together using a linker to reap the energetic benefit of their combined pharmacological action. However, the effects of the linker on the binding energetics of the system are not simple and recent studies have revealed that not only are linkers not a passive medium for bringing the linked fragments together, they also affect the binding energetics of the protein-ligand system in an unpredictable manner. Currently, a pharmaceutical researcher would need to do a careful structural investigation before he/she would be able to predict which linker can optimize the binding affinity of the linked compound with the protein. Consequently, this meant that many potential leads went undiscovered because a suboptimal linker was used when they were screened. This study aims to perform a simulated replication of the experimental results of one such investigation about linker effects, particularly the effects of linker strain and flexibility. The aim of performing such a study is two-fold: to verify the explanation given for the phenomenon studied as well as to better understand the molecular dynamics involved behind the physically observable phenomenon. Bachelor of Science in Physics 2011-12-23T05:43:49Z 2011-12-23T05:43:49Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/46708 en 41 p. application/pdf |
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DRNTU::Science::Biological sciences::Biophysics Nyam, Ching Wee. Linker prediction in fragment-based drug design. |
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Fragment-based drug design is a drug discovery technique where 2 fragments each having some degree of pharmacological activity is covalently tethered together using a linker to reap the energetic benefit of their combined pharmacological action. However, the effects of the linker on the binding energetics of the system are not simple and recent studies have revealed that not only are linkers not a passive medium for bringing the linked fragments together, they also affect the binding energetics of the protein-ligand system in an unpredictable manner. Currently, a pharmaceutical researcher would need to do a careful structural investigation before he/she would be able to predict which linker can optimize the binding affinity of the linked compound with the protein. Consequently, this meant that many potential leads went undiscovered because a suboptimal linker was used when they were screened. This study aims to perform a simulated replication of the experimental results of one such investigation about linker effects, particularly the effects of linker strain and flexibility. The aim of performing such a study is two-fold: to verify the explanation given for the phenomenon studied as well as to better understand the molecular dynamics involved behind the physically observable phenomenon. |
author2 |
Mu Yuguang |
author_facet |
Mu Yuguang Nyam, Ching Wee. |
format |
Final Year Project |
author |
Nyam, Ching Wee. |
author_sort |
Nyam, Ching Wee. |
title |
Linker prediction in fragment-based drug design. |
title_short |
Linker prediction in fragment-based drug design. |
title_full |
Linker prediction in fragment-based drug design. |
title_fullStr |
Linker prediction in fragment-based drug design. |
title_full_unstemmed |
Linker prediction in fragment-based drug design. |
title_sort |
linker prediction in fragment-based drug design. |
publishDate |
2011 |
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http://hdl.handle.net/10356/46708 |
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1759853141291958272 |