Thesis (Selection of subject)Thesis (Selection of subject)(version: 368)
Thesis details
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Algorithms for protein-ligand binding site discovery
Thesis title in Czech: Algoritmy pro detekci vazebních míst u protein-ligand interakcí
Thesis title in English: Algorithms for protein-ligand binding site discovery
Key words: Strukturální Bioinformatika, Vazební místa pro Ligandy, Strojové učení
English key words: Structural Bioinformatics, Protein-ligand binding sites, Machine learning
Academic year of topic announcement: 2012/2013
Thesis type: diploma thesis
Thesis language: angličtina
Department: Department of Theoretical Computer Science and Mathematical Logic (32-KTIML)
Supervisor: Mgr. Roman Neruda, CSc.
Author: hidden - assigned and confirmed by the Study Dept.
Date of registration: 31.08.2012
Date of assignment: 31.10.2012
Confirmed by Study dept. on: 29.01.2013
Date and time of defence: 10.09.2013 00:00
Date of electronic submission:02.08.2013
Date of submission of printed version:02.08.2013
Date of proceeded defence: 10.09.2013
Opponents: RNDr. František Mráz, CSc.
 
 
 
Advisors: doc. RNDr. David Hoksza, Ph.D.
Guidelines
Virtually all processes in living organisms are conducted by proteins. Proteins perform their function by binding to other proteins (protein-protein interactions) or small molecules - so called ligands (protein-ligand interactions). Active sites for protein-ligand interactions are pockets in protein structure where ligand can bind. In this thesis we will look into possibility of application of artificial intelligence methods to improve current algorithms for pocket detection and characterization. The student will get familiar with current approaches and will propose his own ones,which will be compared with existing solutions. The thesis will most likely build on existing representation of protein pockets that will be used within a new algorithm.
References
[1] Structural Bioinformatics, 2nd ed. , Jenny Gu, Philip E. Bourne http://eu.wiley.com/WileyCDA/WileyTitle/productCd-1118210565.html

[2] Intelligent Bioinformatics: The Application of Artificial Intelligence Techniques to Bioinformatics Problems, Edward Keedwell, Ajit Narayanan  http://eu.wiley.com/WileyCDA/WileyTitle/productCd-0470021756.html

[3] From Protein Structure to Function with Bioinformatics, Daniel John Rigden  (Ed.) http://www.springer.com/biomed/book/978-1-4020-9057-8

[4] Beyond structural genomics: computational approaches for the identification of ligand binding sites in protein structures., Ghersi D, Sanchez R.  http://www.ncbi.nlm.nih.gov/pubmed/21537951

[5] Druggable pockets and binding site centric chemical space: a paradigm shift in drug discovery., Pérot S, Sperandio O, Miteva MA, Camproux AC, Villoutreix BO.  http://www.ncbi.nlm.nih.gov/pubmed/21537951
 
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