Professor Ezekiel Adebiyi
Head, CU Bioinformatics Research (CUBRe)
B.Sc Mathematics, M.Sc Mathematics (Computer Sc option), Ph.D (Computer Sc and Bioinformatics)
College
School
Department
Programme
Research Interests
My main research interests are in computational complexity and computational molecular biology, with emphases on
- anti malarial drugs design and development;
- PCR detection of malaria at the liver stage;
- anti-malaria drugs resistance mechanism;
- combined anti malarial drugs development;
- characterizing the malaria parasite transcription factors and their DNA binding sites using a holistic probabilistic framework;
- 3D Structures prediction and structures based drug discovery;
- computational identification of functional modules in Plasmodium falciparum;
- organisms inter-pathways analysis using the microarray data,
- insecticides design and development and recently
- Human genetics
Based on the above, there are presently six (6) divisions under Covenant University Bioinformatics Research (CUBRe). Please http://cubre.covenantuniversity.edu.ng for more deatils. If the link is active for clicking, copy and paste this on your browser.
Materials and Presentations from CUBRe Seminars can be downloaded from the following web addresses:
CUBRe web site (http://cubre.covenantuniversity.edu.ng)
LinkedIn (http://www.linkedin.com/pub/ezekiel-adebiyi/16/954/65a) and
Research Gate (http://www.researchgate.net/profile/Ezekiel_Adebiyi/publications/).
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Our works in progress were presented at the technical presentations of the 2012 World Malaria Day held at Covenant University:
Scientific presentations at the technical Session:
Integrating Novel Genetic Control Methods into AnoSpEx: an advanced mathematical simulation model for malaria eradication campaign. - Olugbenga Oluwagbemi, Ezekiel Adebiyi, Jason Rasgon.
Automating the discovery of resistance mechanisms and insecticidal targets in the malaria vector, Anopheles gambiae. - Marion Adebiyi, Segun Fatumo, Banke Ogunlana and Ezekiel Adebiyi
Large scale mining of transcription factors from the genome of Plasmodium falciparum. - Itunu Ewejobi, Brors Benedikt and Ezekiel Adebiyi
Revisiting the Africa Plasmodium falciparum database (AfriPFdb): Introducing agents.- Tolu Oladimeji, Itunu Isewon and Ezekiel Adebiyi
Signalling pathways and RBCs invasion by the malaria parasite: A computational analysis - Jelili Oyelade, Itunu Isewon, Benedikt Brors, Ezekiel Adebiyi
Transition In Horse Haemoglobin Induced By Inositol Hexakisphosphate. - Kehinde O. Okonjo, Omolola E. Omotosho and Shalom N. Chinedu
Detection of Plasmodium Falciparum Multidrug Resistant Gene (Pfmdr 1) Among Asymptomatic Carriers In Ota, Ogun State, Nigeria.- Olasehinde G.I ; Moses G.O; Ajayi A.A and Adebiyi M.O.
Glucose 6-phosphate dehydrogenase and haematological activities of artemether and lumefantrine in non-malaria infected rats - Abiodun Humphrey Adebayo, Chioma Uchechukwu Mbogu, Omolola Elizabeth Omotosho
CODE MALARIA – Compounds Synthesis at Prof Martin Schlitzer’s lab at the Marburg University, Germany: Prospects - Olayinka Ajani, Rainer Koenig, Micheal Lanzer, Martin Schlitzer, Ezekiel Adebiyi
AnoCyc: Introducing an Automated Biochemical Metabolic Network for the malaria vector, Anopheles gambiae - Adebiyi Adeniji, Bolaji Famuyiwa, Olubanke Ogunlana, Segun Fatumo, Benedikt Brors, Rainer Koenig and Ezekiel Adebiyi
Diagnosing liver malaria: The challenge ahead - Victor Osamor, Angela Eni, Banke Ogunlana, Grace Olasehinde, Joyce Oyedepo, Ezekiel Adebiyi
Computational Identification of Metabolic Pathways in the Malaria Parasite, Plasmodium falciparum - Jelili Oyelade, Itunu Ewejobi, Benedikt Brors and Roland Eils, Ezekiel Adebiyi
Selected Publications (24)
4. In-silico evaluation of malaria drug targets.
[ Download 169.43 kB ]5. Clustering Plasmodium falciparum Genes to their Functional Roles Using k-means.
[ Download 295.37 kB ]6. Aligning Multiple Sequences with Genetic Algorithm.
[ Download 241.62 kB ]9. Computational Biology and Bioinformatics in Nigeria
[ Download 240.54 kB ]14. New insights into the genetic regulation of Plasmodium falciparum obtained by Bayesian modeling.
[ Download 484.17 kB ] [Visit]18. Computational identification of signalling pathways in Plasmodium falciparum.
[ Download 302.06 kB ] [Visit]