A5019281122- Machine Learning in Bioinformatics
- Genetics, Bioinformatics, and Biomedical Research
- Computational Drug Discovery Methods
- vaccines and immunoinformatics approaches
- Genomics and Rare Diseases
- Malaria Research and Control
- Microbial Metabolic Engineering and Bioproduction
- Gene Regulatory Network Analysis
- Protein Structure and Dynamics
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Invertebrate Immune Response Mechanisms
- BRCA gene mutations in cancer
- RNA and protein synthesis mechanisms
- Biotechnology and Related Fields
- Genomics and Phylogenetic Studies
- Petri Nets in System Modeling
- Biochemical and Molecular Research
- Plant biochemistry and biosynthesis
- Formal Methods in Verification
- Carbohydrate Chemistry and Synthesis
- Genetic Associations and Epidemiology
- Mosquito-borne diseases and control
- Glycosylation and Glycoproteins Research
- Genomic variations and chromosomal abnormalities
Covenant University
2016-2025
Obafemi Awolowo University
2021
The Federal Polytechnic Ilaro
2015
The Federal Polytechnic, Ado-Ekiti
2015
Data is useless if information or knowledge that can be used for further reasoning cannot inferred from it. Cluster analysis, based on some criteria, shares data into important, practical both categories (clusters) shared common characteristics. In research, clustering and classification have been to analyze data, in the field of machine learning, bioinformatics, statistics, pattern recognition mention a few. Different methods include Partitioning (K-means), Hierarchical (AGNES),...
The H3ABioNet pan-African bioinformatics network, which is funded to support the Human Heredity and Health in Africa (H3Africa) program, has developed node-assessment exercises gauge ability of its participating research service groups analyze typical genome-wide datasets being generated by H3Africa groups. We describe a framework for assessment computational genomics analysis skills, includes standard operating procedures, training test datasets, process administering exercise. present...
Tyrosine kinase (TK), vascular endothelial growth factor (VEGF), and matrix metalloproteinases (MMP) are important cancer therapeutic target proteins. Based on reported anti-cancer cytotoxic activities of Caesalpinia bonduc, this study isolated phytochemicals from young twigs leaves C bonduc identified the interaction between them proteins (TK, VEGF, MMP) in silico. AutoDock Vina, iGEMDOCK, analysis pharmacokinetic pharmacodynamic properties bioactives as molecules were performed. Seven...
A Text-to-speech synthesizer is an application that converts text into spoken word, by analyzing and processing the using Natural Language Processing (NLP) then Digital Signal (DSP) technology to convert this processed synthesized speech representation of text.Here, we developed a useful text-to-speech in form simple inputted reads out user which can be saved as mp3.file.The development will great help people with visual impairment make making through large volume easier.
Plasmodium falciparum Apicomplexan Apetala 2 Invasion ( PfAP2-I) transcription factor (TF) is a protein that regulates the expression of subset gene families involved in P. red blood cell (RBC) invasion. Inhibiting PfAP2-I TF with small molecules represents potential new antimalarial therapeutic target to combat drug resistance, which this study aims achieve. The 3D model structure was predicted ab initio using ROBETTA prediction tool and validated Save server 6.0 MolProbity. Computed Atlas...
<ns3:p>Background Machine learning (ML) algorithms have generally enhanced the speed and accuracy of image-based diagnosis, treatment strategy planning, compared to traditional approach interpreting medical images by experienced radiologists. Convolutional neural networks (CNNs) been particularly useful in this regard. However, training CNNs come with significant time computational cost necessitating development efficient solutions for deploying low-resource environments. This study...
Malaria importation is one of the hypothetical drivers malaria transmission dynamics across globe. Several studies on focused effect use conventional control strategies as approved by World Health Organization (WHO) but did not capture traditional vigilant humans. In order to handle aforementioned situation, a novel system Ordinary Differential Equations (ODEs) was developed comprising human and vector compartments. Analysis carried out assess its quantitative properties. The computational...
Healthcare Informatics focuses on health data, information and knowledge, including their collection, processing, analysis use.Bioinformatics employ computational tools techniques to study analyse large biological databases absolutely understand disease grasp the genetics proteomics by relating them with healthcare data.The focus is processing genomic data for basic research in biology, but also medicine, drug discovery, related areas.Analytics came as a result of that are being gathered...
Malaria is one of the deadly diseases, which affects a large number world's population. The Plasmodium falciparum parasite during erythrocyte stages produces its energy mainly through anaerobic glycolysis, with pyruvate being converted into lactate. glycolysis metabolism in P. falci-parum important metabolic pathways because entirely dependent on it for energy. Also, several glycolytic enzymes have been proposed as drug targets. Petri nets (PNs) recognized models representing biological...
Abstract Africa plays a central importance role in the human origins, and disease susceptibility, agriculture biodiversity conservation. Nigeria as most populous diverse country Africa, owing to its 250 ethnic groups over 500 different native languages is imperative any global genomic initiative. The newly inaugurated Nigerian Bioinformatics Genomics Network (NBGN) becomes necessary facilitate research collaborative activities foster opportunities for skills’ development amongst...
Computational prediction of absolute essential genes using machine learning has gained wide attention in recent years. However, are mostly conditional and not absolute. Experimental techniques provide a reliable approach identifying conditionally genes; however, experimental methods laborious, time resource consuming, hence computational have been used to complement the methods. such as supervised learning, or flux balance analysis grossly limited due unavailability required data for...
Background: The use of machine learning models in sequence-based Protein-Protein Interaction prediction typically requires the conversion amino acid sequences into feature vectors. From literature, two approaches have been used to achieve this transformation. These are referred as Independent Protein Feature (IPF) and Merged (MPF) extraction methods. As observed, studies predominantly adopted IPF approach, while others preferred MPF method, which host pathogen concatenated before encoding....
Plasmodium falciparum, a malaria pathogen, has shown substantial resistance to treatment coupled with poor response some vaccines thereby requiring urgent, holistic, and broad approach prevent this endemic disease. Understanding the biology of parasite been identified as vital overcome threat malaria. This study is aimed at identifying essential proteins unique parasites using reconstructed iPfa genome-scale metabolic model (GEM) 3D7 strain falciparum by filling gaps in nineteen (19)...
Malaria is an infectious disease that affects close to half a million individuals every year and Plasmodium falciparum major cause of malaria. The treatment this could be done effectively if the essential enzymes parasite are specifically targeted. Nevertheless, development in resisting existing drugs now makes discovering new core responsibility. In study, novel computational model prediction validated antimalarial drug target cheaper, easier, faster has been developed. We have identified...
<ns3:p>Agronomic traits of plants especially those economic or aesthetic importance are threatened by climatic and environmental factors such as climate change, biotic, abiotic stresses. These threats now being mitigated through the analyses omics data like genomics, transcriptomics, proteomics, metabolomics, phenomics. The emergence high-throughput technology has led to an avalanche plant data. Plant research demands novel analytical paradigms extract harness large for improvement...
Abstract Despite concerted efforts by the World Health Organization (WHO) to control malaria, it is still being diagnosed in patients visiting hospitals Tropical Countries of World. Hence, this study investigated risk factors responsible for malaria transmission dynamics through a hospital case study. Data that presented with from June 2019 December 2020 were acquired Covenant University Medical Centre Ota, South West Nigeria. Descriptive statistical analyses carried out so as examine...