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

Internet

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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