In Silico Identification of Novel Cancer Drugs with 3D Interaction Profiling

In Silico Identification of Novel Cancer Drugs with 3D Interaction Profiling

Cancer is a leading cause of death worldwide. Development of new cancer drugs is increasingly costly and time-consuming. By exploiting massive amounts of biological data, computational repositioning proposes new uses for old drugs to reduce these development hurdles. A promising approach is the syst...

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Bibliographic Details
Main Author:	Salentin, Sebastian
Other Authors:	Technische Universität Dresden, Fakultät Informatik
Format:	Doctoral Thesis
Language:	English
Published:	Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden 2018
Subjects:	Protein-Ligand Interaktionen Interaktionsmuster Drug Repositioning Krebs Virtuelles Screening Fingerprinting PDB protein-ligand interactions interaction patterns drug repositioning BVDU cancer virtual screening fingerprinting ddc:540 rvk:VS 9107
Online Access:	http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-226435 http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-226435 http://www.qucosa.de/fileadmin/data/qucosa/documents/22643/Dissertation_Salentin_Qucosa.pdf

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