Izzati Ibrahim Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

Arkansas State University

faculty

4 h-index 15 pubs 44 cited

Research Areas

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OverviewAI-generated summary

Izzati Ibrahim's research investigates the intersection of computational methods and biological applications, with a recent focus on the de novo design and bioactivity prediction of mitotic kinesin Eg5 inhibitors. This work utilizes advanced machine learning techniques, specifically Message Passing Neural Networks (MPNN) and Long Short-Term Memory (LSTM)-based transfer learning. Ibrahim also explores the broader impact of artificial intelligence in engineering design, manufacturing, and CAD, examining its role in driving innovation, efficiency, and automation. Additionally, their scholarship extends to the economic implications of industrial clusters and the influence of innovative products on national economic development. Ibrahim holds a faculty position at Arkansas State University and has an h-index of 4 with 15 total publications and 44 citations.

Metrics

h-index: 4
Publications: 15
Citations: 44

Selected Publications

De novo design and bioactivity prediction of mitotic kinesin Eg5 inhibitors using MPNN and LSTM-based transfer learning (2025) DOI
De Novo Design and Bioactivity Prediction of Mitotic Kinesin Eg5 Inhibitors Using MPNN and LSTM-Based Transfer Learning (2025) DOI