Ma Honglei - Protein structure and function - Best Researcher Award

Qingdao Institute of Bioenergy and Bioprocess Technology - China

AUTHOR PROFILE

SCOPUS

EDUCATION AND EARLY CAREER

Dr. Ma Honglei, a distinguished Professor and doctoral supervisor, completed his undergraduate studies at Jilin University in 2009. He furthered his academic journey by pursuing doctoral research at the Shanghai Institute of Materia Medica from 2011 to 2016. Following his Ph.D., he worked as a postdoctoral fellow and associate researcher at the same institute before joining Shandong University in 2021. In 2022, he transitioned to the Qingdao Institute of Bioenergy and Process at the Chinese Academy of Sciences.

RESEARCH FOCUS AND METHODS

Dr. Ma's research is centered on the molecular analysis of protein complex structures and their interactions. His expertise encompasses the use of advanced techniques such as crystallography and cryo-electron microscopy, integrated with structural biology methods. These techniques are pivotal in understanding the functions of biological macromolecules and elucidating receptor-ligand interaction mechanisms for pharmacological predictions.

PUBLICATIONS AND CITATIONS

Dr. Ma has made significant contributions to the field, with his research featured in leading journals including Cell Research, Nature Communications, Science Advances, and Cell Discovery. His publications have garnered over 1000 citations, reflecting the impact and recognition of his work in the scientific community.

AWARDS AND RECOGNITION

Dr. Ma Honglei has been acknowledged for his outstanding research contributions through various accolades. He has been selected for prestigious honors such as the Talent Program, Distinguished Researcher, and Youth Innovation Promotion Association of the Chinese Academy of Sciences. In addition, he was named a "Qilu Young Scholar" at Shandong University and received the President's Excellence Award from the Chinese Academy of Sciences in 2016.

GRANT FUNDING AND PROJECT LEADERSHIP

Dr. Ma has successfully led numerous high-profile research projects, with funding exceeding 10 million yuan. His projects have been supported by the National Natural Science Foundation of China, the China Postdoctoral Foundation, the Shanghai Municipal Science and Technology Commission, major special projects of the Shandong Energy Research Institute, and subprojects of the Shandong Laboratory.

KEY PUBLICATIONS

Among his influential publications are "Molecular insights into ligand recognition and activation of chemokine receptors CCR2 and CCR3" in Cell Discovery (2022), "Molecular insights into ago-allosteric modulation of the human glucagon-like peptide-1 receptor" in Nature Communications (2021), and "Structural insights into the activation of GLP-1R by a small molecule agonist" in Cell Research (2020). These papers highlight his contributions to understanding receptor mechanisms and protein interactions.

HONORS AND ACHIEVEMENTS

In recognition of his exemplary research, Dr. Ma has received the Outstanding Young Talent Award from the Shanghai Institute of Life Sciences of the Sanofi-Chinese Academy of Sciences in 2020. His achievements underscore his commitment to advancing scientific knowledge and his leadership in the field of structural biology.

NOTABLE PUBLICATION

Title: Molecular Insights into Ligand Recognition and Activation of Chemokine Receptors CCR2 and CCR3
Authors: Shao, Z., Tan, Y., Shen, Q., Zhang, Y., Shen, H.
Year: 2022
Journal: Cell Discovery

Title: Structural Insights into the Ligand Binding and Gi Coupling of Serotonin Receptor 5-HT5A
Authors: Tan, Y., Xu, P., Huang, S., Xu, H.E., Jiang, Y.
Year: 2022
Journal: Cell Discovery

Title: Identification and Mechanism of G Protein-Biased Ligands for Chemokine Receptor CCR1
Authors: Shao, Z., Shen, Q., Yao, B., Zhang, Y., Shen, H.
Year: 2022
Journal: Nature Chemical Biology

Title: Molecular Insights into Ago-Allosteric Modulation of the Human Glucagon-Like Peptide-1 Receptor
Authors: Cong, Z., Chen, L.-N., Ma, H., Zhang, Y., Wang, M.-W.
Year: 2021
Journal: Nature Communications

Title: Structural Insights into the Activation of GLP-1R by a Small Molecule Agonist
Authors: Ma, H., Huang, W., Wang, X., Yuan, D., Xu, H.E.
Year: 2020
Journal: Cell Research

PROFESSIONAL EMPLOYMENT

Leyli Mohammad Khanli is a highly esteemed Professor in the Department of Computer Engineering at the University of Tabriz, where she has been serving since 2020. She previously held positions as an Associate Professor from 2012 to 2020 and as an Assistant Professor in the Department of Computer Science from 2007 to 2012 at the same institution. Her academic journey at the University of Tabriz has been marked by significant contributions to the fields of computer science and engineering.

RESEARCH INTERESTS

Prof. Khanli's research interests are broad and include Cloud Computing, Network Security, Artificial Intelligence, Intrusion Detection, Computer Networks, and Information Systems. Her work has contributed to advancements in these areas, addressing both theoretical and practical challenges in modern computing and security.

UNDER-REVIEW ARTICLES

Prof. Khanli has several under-review articles, showcasing her ongoing research endeavors. These include "A Fast Multi-network k-Dependency Bayesian Classifier for Continuous Features" and "ACQC-LJP: Apollonius Circle-based Quantum Clustering using Lennard-Jones Potential," both submitted to the Pattern Recognition Journal. Additionally, she has work under review in the International Journal of Intelligent Engineering and Systems and Knowledge-based Systems, demonstrating her active engagement in cutting-edge research.

ARTICLES IN PROGRESS

Her current articles in progress include "Fuzzy Modeling of the Individual Behaviors Tendency based on the Cloninger’s Personality Theory," "Increasing Chatbot’s Context-Dependent Grasping, through Cloninger's Planes of Being Theory," and "Investigating the Relationship between the Dissemination of Neuronal Signals and Modeling the Spread of Memes in Social Networks." These projects highlight her innovative approach to integrating psychological theories and computational models.

MASTER AND DOCTORATE THESIS SUPERVISION

Prof. Khanli has supervised numerous master's and doctorate theses, guiding students through complex research projects. Notable theses include "Nonparametric Bayesian Network for Classifying Non-Stationary Data Streams" by Imaneh Khodayari, "A Novel Facial Expression Recognition Algorithm using Geometry B-Skeleton in Fusion based on Deep CNN" by Abbas Issa Jabbooree, and "Adaptive Neighborhood Bandwidth Detection of Gaussian Kernel in Quantum Clustering using the Apollonius Circle" by Nasim Abdolmaleki. Her mentorship has been instrumental in shaping the careers of many researchers.

CONFERENCE PRESENTATIONS

Prof. Khanli has presented her research at various international conferences. Recent presentations include "Automatic Clustering by Geometric Method of Tangent Lines with Points" and "Increasing Artificial Intelligence’s Context-Dependent Grasping, through Cloninger's Planes of Being Theory" at the 7th International Symposium on Innovative Approaches in Smart Technologies. She has also presented at the International Conference on Communication and Signal Processing in Montreal, Canada, and the International Conference on Computer Science, Communication, and Information Technology in Tbilisi, Georgia, among others.