Selected Publications & Presentations
491 citations · h-index 8 · i10-index 7 (Google Scholar, October 2026)
2026
CatRange enables robust prediction of enzyme variant kinetic regimes.
Karuna Anna Sajeevan and Abraham Osinuga et al. · First-author: Abraham Osinuga. PNAS Nexus: pgag309.
Karuna Anna Sajeevan and Abraham Osinuga share first authorship.
"Mutation-sensitive predictions of enzyme kinetic regimes built around protein sequence, substrate chemistry, and curated evidence."
2026
Machine learning reveals proteome-encoded growth determinants underlying metabolic versatility of Rhodopseudomonas palustris on lignin-derived aromatics.
Abraham Osinuga, Mark Kathol, and Rajib Saha. mSystems 11(6): e00383-26.
"Separating shared growth-associated proteins from environment-specific adaptation in R. palustris."
2026
Multi-omics integration in genome-scale metabolic models: a review of constraint-based approaches.
Nabia Shahreen and Abraham Osinuga et al. · First-author: Abraham Osinuga. Molecular Omics 22(2): aaiag005.
Nabia Shahreen and Abraham Osinuga contributed equally.
"How molecular measurements become modeling constraints, rather than simply more input features."
2026
In-silico discovery of Dipeptidyl Peptidase-4 inhibitors from African medicinal plants: Molecular docking, ADMET, dynamics simulation, and MM-GBSA analyses.
Ishola Abeeb Akinwumi et al. · Co-author: Abraham Osinuga. The Nucleus 69(1): 75–97.
Published online in January 2025; 2026 journal issue.
"Molecular docking, ADMET, dynamics simulation for drug discovery from natural products."
2025 · Preprint, version 2
Robust Prediction of Enzyme Variant Kinetics with RealKcat.
Karuna Anna Sajeevan and Abraham Osinuga et al. · First-author: Abraham Osinuga. bioRxiv.
Earlier preprint in the CatRange research lineage. The peer-reviewed article is listed above.
2025
The role of machine learning in discovering biomarkers and predicting treatment strategies for neurodegenerative diseases: A narrative review.
Abdullahi Tunde Aborode et al. · Co-author: Abraham Osinuga. NeuroMarkers 2(1): 100034.
"Narrative review of ML applications in neurodegenerative disease biomarker discovery."
2024
Deciphering sphingolipid biosynthesis dynamics in Arabidopsis thaliana cell cultures: Quantitative analysis amid data variability.
Abraham Osinuga et al. iScience 27(9): 110675.
"Isotope-informed dynamic modeling of plant sphingolipid metabolism with explicit uncertainty treatment."
2024
Identification of novel phytotherapeutic agents for understanding hypertrophic cardiomyopathy via genetic mapping and advanced computational analysis.
Abdullahi Tunde Aborode et al. · Co-author: Abraham Osinuga. Genome Instability & Disease 5(6): 262–286.
"Genetic mapping and computational analysis for cardiomyopathy drug discovery."
2024
Transforming early microbial detection: Investigating innovative biosensors for emerging infectious diseases.
Godfred Yawson Scott et al. · Co-author: Abraham Osinuga. Advances in Biomarker Sciences and Technology 6: 59–71.
"Innovative biosensors for early detection of emerging infectious diseases."
2023
Offset-Free Quasi-Infinite Horizon Nonlinear Model Predictive Controller Design Using Parameter Adaptation.
Ayorinde Bamimore et al. · Co-author: Abraham Osinuga. Journal of Dynamic Systems, Measurement, and Control 145(10): 101005.
"Parameter-adaptive nonlinear model predictive control ensuring offset-free tracking."
2022
An online machine learning-based sensors clustering system for efficient and cost-effective environmental monitoring in controlled environment agriculture.
Daniel Dooyum Uyeh et al. · Co-author: Abraham Osinuga. Computers and Electronics in Agriculture 199: 107139.
"Internet-of-Things (IoT) sensor placement optimization for controlled-environment agriculture."
2021
Design, fabrication and interfacing of a cascaded three-tank system with micro-controller board for research and education in process control.
A. Bamimore et al. · Co-author: Abraham Osinuga. Innovative Solutions in Engineering: Journal of the Nigerian Academy of Engineering 3(1).
"Physical process platform design for research and education in process control."
2021
A Comparison of Two Artificial Neural Networks for Modelling and Predictive Control of a Cascaded Three-Tank System.
A. Bamimore et al. · Co-author: Abraham Osinuga. IFAC-PapersOnLine 54(21): 145–150.
"Neural network architectures compared for multivariable predictive control."
Conference presentations & abstracts
Recent talks and posters, with conference records and source links on the presentations page.
NOBCChE 2026 · Cincinnati, Ohio
An Agentic Framework for Enzyme Kinetics Prediction and Interpretation
Presenter: Abraham Osinuga · September 23, 2026 · Biochemistry III
Podium presenter, poster judge, and Advancing Science Conference Grant recipient (Tier 1).
Speaker programme2026 · Oral presentation
Revealing Core Growth Determinants Hidden in a Redundant Proteome: Solving a High-Complexity Biological Problem
Presenter: Abraham Osinuga
College of Engineering Graduate Student Symposium, University of Nebraska–Lincoln · Willa Cather Dining Complex, Red Cloud B, Lincoln, Nebraska, USA
Programme2025 · Poster presentation
Empirical and Computational Advances in Enzyme Kinetics Prediction: A Machine Learning Approach to Catalytic Variability
Presenter: Abraham Osinuga
Metabolic Engineering 16 (ME16), International Metabolic Engineering Society · Copenhagen, Denmark
Programme2024 · Poster abstract
Embracing Variability in Dynamic Metabolic Modeling: Novel Insights into Arabidopsis thaliana’s Sphingolipid Biosynthesis
Abraham B. Osinuga et al.
26th International Symposium on Plant Lipids · Lincoln, Nebraska, USA
Poster abstract