I
Izzati Ibrahim Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
faculty
4 h-index
15 pubs
45 cited
Research Areas
Biography and Research Information
OverviewAI-generated summary
Izzati Ibrahim's research focuses on the application of machine learning and artificial intelligence in drug design and molecular dynamics. A recent publication explores the de novo design and bioactivity prediction of mitotic kinesin Eg5 inhibitors, utilizing MPNN and LSTM-based transfer learning techniques. Another publication discusses the integration of artificial intelligence within engineering design, manufacturing, and CAD, highlighting advancements in innovation, efficiency, and automation. Ibrahim has co-authored publications with Mujeebat Bashiru from the University of Arkansas at Little Rock and Rachael Oluwakamiye Abolade from the University of Arkansas for Medical Sciences. With an h-index of 4 and 15 total publications, Ibrahim's work contributes to the fields of computational chemistry and engineering.
Metrics
- h-index: 4
- Publications: 15
- Citations: 45
Selected Publications
-
The Integration of Artificial Intelligence in Engineering Design, Manufacturing, and CAD: A Triangular Revolution of Innovation, Efficiency, and Automation (2025)
-
De novo design and bioactivity prediction of mitotic kinesin Eg5 inhibitors using MPNN and LSTM-based transfer learning (2025)
-
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
Aliyeva Ruhangiz Tofig
1 shared publication
- The formation of industrial clusters and the impact of the volume of innovative products on the economic development of the country
Aslanova Turan Tofig
1 shared publication
- The formation of industrial clusters and the impact of the volume of innovative products on the economic development of the country
Similar Researchers
Based on overlapping research topics
Curtis Goolsby
University of Arkansas at Fayetteville
Computational Drug Discovery Methods
Advanced Neural Network Applications
Protein Structure and Dynamics
Nathan Avaritt
University of Arkansas for Medical Sciences
Computational Drug Discovery Methods
Cancer-related molecular mechanisms research
Protein Structure and Dynamics
Rachael Oluwakamiye Abolade
University of Arkansas for Medical Sciences
Machine Learning Applications
Computational Drug Discovery Methods
Advanced Neural Network Applications
Adithya Polasa Vivek Govind Kumar
University of Arkansas at Fayetteville
Computational Drug Discovery Methods
Protein Structure and Dynamics
Molecular Biology Techniques and Applications
Soheil Jamali
University of Arkansas at Fayetteville
Machine Learning Applications
Computational Drug Discovery Methods
Protein Structure and Dynamics
Ari Filip
University of Arkansas for Medical Sciences
Machine Learning Applications
Computational Drug Discovery Methods
Protein Structure and Dynamics