The computational methods for in silico drug discovery have been broadly categories into two fields bioinformatics and chemoinformatics. In case of bioinformatics, major emphasis is on identification and validation of drug targets, mainly based on functional/structural annotation of genomes. In case of chemoinformatics or pharmacoinformatics, major emphasis is on designing of drug molecules or ligands and their interaction with drug targets.
Applied Bioinformatics & Chemoinformatics: Techniques, Tools, and Opportunities
1. Applied Bioinformatics & Chemoinformatics:
Techniques, Tools and Opportunities.
FATOKI, Toluwase H.
Department of Biochemistry,
Federal University of Technology, Akure, Nigeria.
+2347032219821
hezekiahfatoki@gmail.com
www.linkedin.com/in/hezekiahfatoki
www.fheztbioinformatics.wordpress.com
2. “None of us is as smart as all of us” – Ken Blanchard.
“If you want to go fast, go alone. If you want to go far, go together.” – African Proverb.
3. OUTLINES
• Introduction to Genetic Engineering
• Sequencing: The Next Generation
• Introduction to Bioinformatics
• Overview of Bioinformatics in Africa
• Essential Bioinformatics
• Introduction to Database and Tools
• Introduction to Chemoinformatics/Pharmacoinformatics
• Applications of Bioinformatics
• Application in Biotechnology Industries
• Application in Biomedical and Biopharmaceuticals Industries
• Current Trends and Opportunities
• Questions and Answers
4. Introduction to Genetic Engineering
• The Central Dogma
• Concept Maps of Genetic Engineering
5. Sequencing: The Next Generation
A Life Decoded is the story of this singular milestone in our history, told by the man
who through a combination of vision, tenacity, ingenuity, and insight challenged
conventional wisdom and refuted his critics to reveal the human genetic code.
Desmond S. T. Nicholl, (2008). An Introduction to Genetic Engineering. Cambridge University Press, New York.
11. Essential Bioinformatics
• Section I: Introduction And Biological Databases
• Section II: Sequence Alignment
• Section III: Gene And Promoter Prediction
• Section IV: Molecular Phylogenetics
• Section V: Structural Bioinformatics
• Section VI: Genomics and Proteomics
Arthur M. Lesk,(2002). Introduction to Bioinformatics, Oxford University Press, New York
12. Introduction to Databases and Tools
http://www.cbs.dtu.dk/biotools/
http://molbiol-tools.ca/molecular_biology_freeware.htm
http://www.hpc.cam.ac.uk/compbio/software
http://bioinformaticssoftwareandtools.co.in/bio_tools.php
http://www.bioafrica.net/software.php
13. • NCBI: The National Center
for Biotechnology Information
(USA):
http://ncbi.nlm.nih.gov
• EBI:The European
Bioinformatics Institute:
www.ebi.ac.uk
• SIB:The Swiss Institute of
Bioinformatics
Expasy (Expert Protein
analysis system):
www.expasy.org
• Canadian Bioinformatics
Resource
http://cbr-rbc.nrc-cnrc.gc.ca/
14. Chemoinformatics/Pharmacoinformatics
Darren Green, (2016). Computational Drug discovery.
The computational methods for in silico drug discovery have been
broadly categories into two fields bioinformatics and chemoinformatics.
In case of bioinformatics, major emphasis is on identification and
validation of drug targets, mainly based on functional/structural annotation
of genomes.
In case of cheminformatics or pharmacoinformatics, major emphasis is
on designing of drug molecules or ligands and their interaction with drug
targets.
Frank K. Brown (1998) defined Chemoinformatics as the mixing of
information resources to transform data into information, and information
into knowledge, for the intended purpose of making better decisions faster
in the arena of drug lead identification and optimization.
19. Application in Biotechnology Industries
Desmond S. T. Nicholl, (2008). An Introduction to Genetic Engineering. Cambridge University Press, New York.
20.
21. Application in Biomedical and
Biopharmaceuticals Industries
Desmond S. T. Nicholl, (2008). An Introduction to Genetic Engineering. Cambridge University Press, New York.
22. Jurgen Drews (2000). Drug Discovery: A Historical Perspective, Science/Drug Discovery, vol.287, 1960-1964.