Match tier
Confirmed
Presence
Current · Arkansas
Last published
2025
Sources
OpenAlex · ORCID
Refreshed
2026-08-06
I
Izzati Ibrahim
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
Faculty Researcher
4 h-index
15 pubs
45 cited
Research Areas
Biomedical Subjects
Biography and Research Information
OverviewAI-generated summary
Izzati Ibrahim's research centers on the application of machine learning and advanced computational methods to drug design, with a particular focus on mitotic kinesin Eg5 inhibitors. Ibrahim has published work exploring de novo design and bioactivity prediction of these inhibitors using techniques such as MPNN and LSTM-based transfer learning. This work contributes to understanding cancer-related molecular mechanisms and developing potential pharmacological treatments. Ibrahim also investigates the broader integration of artificial intelligence within engineering design and manufacturing processes, examining its impact on innovation, efficiency, and automation. Scholarship metrics include an h-index of 4, with 15 total publications and 45 total citations. Ibrahim collaborates with researchers from institutions including the University of Arkansas at Little Rock and the University of Arkansas for Medical Sciences.
Metrics
- h-index: 4
- Publications: 15
- Citations: 45
Selected Publications
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The Integration of Artificial Intelligence in Engineering Design, Manufacturing, and CAD: A Triangular Revolution of Innovation, Efficiency, and Automation (2025)
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De novo design and bioactivity prediction of mitotic kinesin Eg5 inhibitors using MPNN and LSTM-based transfer learning (2025)
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De Novo Design and Bioactivity Prediction of Mitotic Kinesin Eg5 Inhibitors Using MPNN and LSTM-Based Transfer Learning (2025)
Collaboration Network
Top Collaborators
Damilola S. Bodun
Covenant University (NG)
2 shared publications
- De novo design and bioactivity prediction of mitotic kinesin Eg5 inhibitors using MPNN and LSTM-based transfer learning
- De Novo Design and Bioactivity Prediction of Mitotic Kinesin Eg5 Inhibitors Using MPNN and LSTM-Based Transfer Learning
Mujeebat Bashiru
University of Arkansas at Little Rock
2 shared publications
In database
- De novo design and bioactivity prediction of mitotic kinesin Eg5 inhibitors using MPNN and LSTM-based transfer learning
- De Novo Design and Bioactivity Prediction of Mitotic Kinesin Eg5 Inhibitors Using MPNN and LSTM-Based Transfer Learning
Rachael Oluwakamiye Abolade
University of Arkansas for Medical Sciences
2 shared publications
In database
- De novo design and bioactivity prediction of mitotic kinesin Eg5 inhibitors using MPNN and LSTM-based transfer learning
- De Novo Design and Bioactivity Prediction of Mitotic Kinesin Eg5 Inhibitors Using MPNN and LSTM-Based Transfer Learning
Wilberforce K. Ndarawit
University of Embu (KE)
2 shared publications
- De novo design and bioactivity prediction of mitotic kinesin Eg5 inhibitors using MPNN and LSTM-based transfer learning
- De Novo Design and Bioactivity Prediction of Mitotic Kinesin Eg5 Inhibitors Using MPNN and LSTM-Based Transfer Learning
Adedoyin John‐Joy Owolade
Obafemi Awolowo University (NG)
2 shared publications
- De novo design and bioactivity prediction of mitotic kinesin Eg5 inhibitors using MPNN and LSTM-based transfer learning
- De Novo Design and Bioactivity Prediction of Mitotic Kinesin Eg5 Inhibitors Using MPNN and LSTM-Based Transfer Learning
Ezekiel A. Olugbogi
Babcock University (NG)
2 shared publications
- De novo design and bioactivity prediction of mitotic kinesin Eg5 inhibitors using MPNN and LSTM-based transfer learning
- De Novo Design and Bioactivity Prediction of Mitotic Kinesin Eg5 Inhibitors Using MPNN and LSTM-Based Transfer Learning
Katukoliya Gamage Anuththara Samadhi
American Standard (United States) (US)
2 shared publications
- De novo design and bioactivity prediction of mitotic kinesin Eg5 inhibitors using MPNN and LSTM-based transfer learning
- De Novo Design and Bioactivity Prediction of Mitotic Kinesin Eg5 Inhibitors Using MPNN and LSTM-Based Transfer Learning
Gbolahan O. Oduselu
Covenant University (NG)
2 shared publications
- De novo design and bioactivity prediction of mitotic kinesin Eg5 inhibitors using MPNN and LSTM-based transfer learning
- De Novo Design and Bioactivity Prediction of Mitotic Kinesin Eg5 Inhibitors Using MPNN and LSTM-Based Transfer Learning
Suliman Sharif
American Standard (United States) (US)
2 shared publications
- De novo design and bioactivity prediction of mitotic kinesin Eg5 inhibitors using MPNN and LSTM-based transfer learning
- De Novo Design and Bioactivity Prediction of Mitotic Kinesin Eg5 Inhibitors Using MPNN and LSTM-Based Transfer Learning
Damilola A. Omoboyowa
Adekunle Ajasin University (NG)
2 shared publications
- De novo design and bioactivity prediction of mitotic kinesin Eg5 inhibitors using MPNN and LSTM-based transfer learning
- De Novo Design and Bioactivity Prediction of Mitotic Kinesin Eg5 Inhibitors Using MPNN and LSTM-Based Transfer Learning
Olayinka O. Ajani
Covenant University (NG)
2 shared publications
- De novo design and bioactivity prediction of mitotic kinesin Eg5 inhibitors using MPNN and LSTM-based transfer learning
- De Novo Design and Bioactivity Prediction of Mitotic Kinesin Eg5 Inhibitors Using MPNN and LSTM-Based Transfer Learning
Temitope Ibukunoluwa Adegbenro
University of Lagos (NG)
1 shared publication
- De Novo Design and Bioactivity Prediction of Mitotic Kinesin Eg5 Inhibitors Using MPNN and LSTM-Based Transfer Learning
John Somtochukwu Ibeh
University of Lagos (NG)
1 shared publication
- De Novo Design and Bioactivity Prediction of Mitotic Kinesin Eg5 Inhibitors Using MPNN and LSTM-Based Transfer Learning
Adegbenro Temitope
University of Lagos (NG)
1 shared publication
- De novo design and bioactivity prediction of mitotic kinesin Eg5 inhibitors using MPNN and LSTM-based transfer learning
Ibeh John Somtochukwu
University of Lagos (NG)
1 shared publication
- De novo design and bioactivity prediction of mitotic kinesin Eg5 inhibitors using MPNN and LSTM-based transfer learning
Similar Researchers
Based on overlapping research topics
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University of Arkansas for Medical Sciences
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Yanan Wu
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