Moruf Adedeji Adeagbo

Biography

Moruf Adedeji Adeagbo is the founder and CEO of HaqHayTech Limited. He is a PhD candidate in Computer Science at the Universidade Federal de Viçosa (UFV), Brazil, in the Bioinformatics research line, supervised by Prof. Sabrina de A. Silveira. His doctoral work develops graph-based methods for predicting protein–protein interactions (PPIs): predPPI-GReMLIN (accepted at PLOS ONE, in revision) and its public web server. He also works on machine learning for computational drug discovery, published in the Journal of Cheminformatics (2026) together with the Calabar platform for screening acetylcholinesterase inhibitors, and on rigorous benchmarking of PPI predictors, with the PPI Benchmark Studio web application.

His work sits where HaqHayTech sits: between research and application. Before his doctorate he earned an M.Sc. in Computer Science (Bioinformatics) at UFV, with a thesis on predicting ligands from conserved substructures in protein–protein interactions, and an M.Sc. and a B.Sc. (Computer Science with Economics) at Obafemi Awolowo University (OAU), Ile-Ife, Nigeria. He has been an Assistant Lecturer at First Technical University, Ibadan, since 2019.

Alongside research, he has worked in software engineering since 2011. He built web and FinTech applications at Netvoize Solutions in Lagos, worked as a software engineer and ICT instructor in Ile-Ife, developed result-processing and cooperative-management systems for universities, a polytechnic and a teaching hospital, and consulted on automating business processes for companies in Ikeja, Lagos. His research has been supported by TETFund (M.Sc.) and CAPES (PhD) scholarships, and his job recommender model won a Bronze Award at the 2017 Innovation Technology Expo (InTEX) in Malaysia.

Moruf Adedeji Adeagbo, founder and CEO of HaqHayTech, smiling in a blue suit and tie

Research interests

01
Bioinformatics and computational molecular biology
- Protein–protein interaction prediction
- Structural and interface characterisation
- Molecular interaction analysis
Publications
- Protein-protein interactions
- Structural bioinformatics
02
Graph representation learning and network modelling
- Protein structure and interface graphs
- Biological interaction networks
- Graph neural networks
Publications
- Graph mining & graph machine learning
03
Chemoinformatics and computational drug discovery
- Molecular representations
- Chemical fingerprints
- Virtual screening and compound prioritisation
Publications
- Computational drug discovery
04
Statistical learning and chemometrics
- Multivariate chemical-data analysis
- Classification
- Robust model evaluation
Publications
- Machine learning
05
Research software engineering
- Integrated computational frameworks
- Reproducible pipelines
- Accessible research web servers
Publications
- Software engineering

Publications

Type

Status

24 publications

2026

Under reviewJournal article
Temporal Generalization and Global Stability of Resource Importance in Software Developer Compensation Models in Stack Overflow Surveys
Citation: Adeagbo, M. A., Ibrahim, W. A., & Ortil, M. (2026). Temporal Generalization and Global Stability of Resource Importance in Software Developer Compensation Models in Stack Overflow Surveys. Science of Computer Programming.
Under reviewPreprint
Protein-novelty, sequence-similarity, and negative-sampling controls reveal benchmark-specific discrimination in protein–protein interaction prediction
Citation: Adeagbo, M. A., Agbaje, H. A., & Silveira, S. A. (2026). Protein-novelty, sequence-similarity, and negative-sampling controls reveal benchmark-specific discrimination in protein–protein interaction prediction. bioRxiv. https://doi.org/10.64898/2026.10.06.757125
Software: PPI Benchmark Studio
DOI for Protein-novelty, sequence-similarity, and negative-sampling controls reveal benchmark-specific discrimination in protein–protein interaction prediction (opens in a new tab)
PublishedJournal article
Integrating multi-criteria decision-making and machine learning for fingerprint selection and virtual screening of Acetylcholinesterase inhibitors
Citation: Adeagbo, M. A., Ibrahim, W. A., & de Azevedo Silveira, S. (2026). Integrating multi-criteria decision-making and machine learning for fingerprint selection and virtual screening of Acetylcholinesterase inhibitors. Journal of Cheminformatics. https://doi.org/10.1186/s13321-026-01300-8
Software: Calabar
DOI for Integrating multi-criteria decision-making and machine learning for fingerprint selection and virtual screening of Acetylcholinesterase inhibitors (opens in a new tab)

2025

Under reviewPreprint
predPPI-GReMLIN: prediction of protein-protein interactions through mining of conserved bipartite graphs
Citation: Adeagbo, M. A., Gonçalves-Almeida, V. M., Izidoro, S. C., & Silveira, S. A. (2025). predPPI-GReMLIN: prediction of protein-protein interactions through mining of conserved bipartite graphs. bioRxiv. https://doi.org/10.64898/2025.12.03.692055
Software: predPPI-GReMLIN web server
DOI for predPPI-GReMLIN: prediction of protein-protein interactions through mining of conserved bipartite graphs (opens in a new tab)
PublishedPoster
Predicting Protein–Protein Interaction Types Using Graph-Based Surface Residue and Machine Learning
Citation: Adeagbo, M. A., & Silveira, S. A. (2025, November 25). Predicting Protein–Protein Interaction Types Using Graph-Based Surface Residue and Machine Learning. In 2ª Semana da Inteligência Artificial do IDATA, Universidade Federal de Viçosa, Brazil.

Research Software and Tools

Software, computational tools, and reproducible workflows developed as part of our research in bioinformatics, cheminformatics, machine learning, and software engineering.

Research softwareLive
Calabar
Virtual screening and prioritisation of acetylcholinesterase inhibitors
Launch Calabar (opens in a new tab) Code Calabar (opens in a new tab)
Research softwareLive
PPI Benchmark Studio
Check protein–protein interaction datasets for bias before training
Launch PPI Benchmark Studio (opens in a new tab) Code PPI Benchmark Studio (opens in a new tab)
Research softwareLive
predPPI-GReMLIN web server
Online tool for predicting protein-protein interactions
Launch predPPI-GReMLIN web server (opens in a new tab) Code predPPI-GReMLIN web server (opens in a new tab)

Education and experience

Education

PhD in Computer Science (Bioinformatics)
Universidade Federal de Viçosa (UFV), Brazil
2023–2027 (expected)
Supervised by Prof. Sabrina de A. Silveira. CAPES scholarship.
M.Sc. in Computer Science (Bioinformatics)
Universidade Federal de Viçosa (UFV), Brazil
2023
Thesis: pGReMLIN, prediction of ligands using conserved substructures in protein–protein interaction. TETFund scholarship.
M.Sc. in Computer Science (Information Storage and Retrieval)
Obafemi Awolowo University (OAU), Ile-Ife, Nigeria
2016
Thesis: Social Network-Based Job Recommender System.
B.Sc. in Computer Science with Economics
Obafemi Awolowo University (OAU), Ile-Ife, Nigeria
2010

Experience

Founder & Chief Executive Officer
HaqHayTech Limited
2026 – present
Assistant Lecturer
First Technical University, Ibadan, Nigeria
2019 – present
Consultant, automation of business processes
Aleeph Environmental Services Limited, Ikeja, Lagos
2018 – 2019
Consultant, automation of business processes
TravelRouters Limited, Ikeja, Lagos
2018 – 2018
Software Engineer / Developer
Centre for Distance Learning, Obafemi Awolowo University
2018 – 2018
Software Engineer and ICT Instructor
EChanelVentures, Ile-Ife
2016 – 2018
Software Engineer (earlier Web Developer)
Netvoize Solutions Limited, Lagos
2012 – 2015

Bioinformatics and computational molecular biology

Graph representation learning and network modelling

Chemoinformatics and computational drug discovery

Statistical learning and chemometrics

Research software engineering

2026

2025

Education

Experience

Research collaboration