Method for Protein-Protein Structure Prediction Developed by Researcher

A Groundbreaking Approach to Protein Structure Prediction

A Nigerian researcher, Muinat Zubair, has made significant strides in the field of protein structure prediction and protein-protein interactions. Her innovative work combines experimental and computational methods to unlock the mysteries of how proteins function and interact within the body.

Zubair developed this method during her time as a graduate teaching and research assistant at Tennessee Technological University in the United States, where she earned her Master’s degree in chemistry. Her research is part of a broader effort to solve the long-standing protein folding problem that has challenged scientists for over half a century.

Speaking about her work, Zubair emphasized the importance of understanding the structures of proteins involved in the mitogen-activated protein kinase (MAPK) pathway. These proteins are activated in response to cellular stress and their malfunction can worsen symptoms of neurodegenerative diseases such as Alzheimer's, Parkinson's, and amyotrophic lateral sclerosis.

“By predicting the full-length structures and interactions between these mammalian enzymes, we can gain insights into how they bind and activate each other,” she explained. “This knowledge could lead to the development of therapeutic targets that help manage these diseases and improve patient outcomes.”

Neurodegenerative diseases are becoming a global health concern, affecting millions of people worldwide. As the population of older adults continues to grow, the number of affected individuals is expected to rise. Zubair highlighted the need for more research in this area, noting that the steady-state kinetics of these proteins had never been studied before.

Under the supervision of Dr. Xuanzhi Zhan, Zubair conducted experiments to determine the apparent Michaelis-Menten parameters of these proteins using kinase assays and Western blot quantification. She also used advanced software like AlphaFold2 and AlphaFold-Multimer to predict the full-length structures and interactions of the proteins.

“Prior to this, X-ray diffraction studies only revealed the structure of the kinase domains of these proteins,” Zubair said. “However, previous research indicates that other parts of the enzymes play a role in binding and activation, which is why predicting the entire structure is crucial.”

To validate her findings, Zubair used additional computational tools. She employed molecular dynamics simulations to test the stability of the proteins under simulated physiological conditions. She also performed protein frustratometer analysis and contact mapping to assess the interactions between the docked proteins.

“The results showed that the protein structures remained stable, confirming the accuracy of our predictions,” she added. “These computational methods can be applied to study other proteins, but further validation through wet laboratory experiments is essential.”

Zubair, who hails from Iganna in Oyo State, Nigeria, grew up in Ibadan. She completed her first degree in biochemistry at Ladoke Akintola University of Technology (LAUTECH) in Nigeria. Currently, she is a doctoral student in the prestigious Purdue University Interdisciplinary Life Science program (PULSe), where she was awarded the highly competitive Lynn Fellowship for her PhD.

Her ultimate goal is to continue working in human health, particularly in the field of neurodegenerative diseases. “I find immense fulfillment in knowing that my research could potentially lead to the discovery of a druggable target or a better understanding of these diseases,” Zubair said.

As her work progresses, she plans to conduct site-directed mutagenesis studies and examine the other two isoforms of the enzyme to further validate her findings. This next phase of her research will build on the foundation she has laid, bringing us closer to new treatments for some of the most challenging diseases of our time.