Maria Hrmova | Computational biology | Best Researcher Award

Best Researcher Award

Maria Hrmova — Adelaide University, Australia

Maria Hrmova
Affiliation Adelaide University
Country Australia
Scopus ID 6603811052
Documents 141
Citations 6,789
h-index 45
Subject Area Computational biology
Event World Top Scientist Awards
ORCID 0000-0002-3545-0605

Maria Hrmova is a Professor of Structural Biochemistry and Biophysics whose documented academic work is associated with the University of Adelaide in Australia. Her research programme focuses on molecular mechanisms that underpin plant protein function, with particular attention to enzymes involved in plant development, plant transport proteins associated with elemental soil toxicity tolerance, and transcription factors involved in plant abiotic stress tolerance. [1]

Abstract

Maria Hrmova’s research profile represents an interdisciplinary programme connecting structural biochemistry, biophysics, computational biology, and plant molecular science. Her documented work examines how molecular structure, catalytic mechanisms, membrane transport, and transcriptional regulation contribute to biological function and environmental adaptation in plants. The supplied academic record reports 141 documents, 6,789 citations, and an h-index of 45 for the specified Scopus author profile. [2]

Keywords

The principal keywords associated with the research record include structural biochemistry, biophysics, biotechnology, carbohydrate and protein chemistry, enzyme mechanisms, genomics and genetic engineering, transport proteins, transcription factors, protein structure, three-dimensional protein modelling, and molecular mechanisms of plant abiotic stress tolerance. Together, these terms describe a broad research framework in which computational and structural approaches are used to investigate protein function. [1]

Introduction

The supplied ORCID record identifies Maria Hrmova as Professor of Structural Biochemistry and Biophysics at the University of Adelaide, Faculty of Sciences, Engineering and Technology, Australia. It states that her laboratory investigates enzymes involved in plant development, transport proteins underlying elemental soil toxicity tolerance, and transcription factors associated with plant abiotic stress tolerance. [1]

Research Profile

Hrmova’s research profile is characterised by the investigation of molecular mechanisms that determine protein structure and function. Her documented studies include enzyme catalysis, glycoside hydrolases, plant membrane proteins, aquaporins, cation–chloride cotransporters, transcription factors, and plant responses to environmental stresses. Computational chemistry, protein modelling, structural analysis, and biochemical approaches appear across the listed works. [1]

Research Contributions

The documented research contributes to understanding catalytic efficiency, substrate recognition, protein structural plasticity, and transport mechanisms in plant systems. Studies of glycoside hydrolases examine relationships between protein structure, water networks, and enzymatic activity, while research on membrane proteins considers the molecular basis of transport and permeability. Other publications investigate transcription factors and molecular responses associated with drought, salinity, and related stresses. [3]

Publications

The ORCID record contains numerous journal articles, preprints, and research resources associated with Maria Hrmova. Recent publications include studies of glycoside exo-hydrolase catalytic efficiency, plant cation–chloride cotransporters, aquaporin membrane-protein arrangements, and the evolutionary advantage of aromatic clamps in plant enzymes. [4]

Research Impact

The supplied Scopus information reports 141 documents, 6,789 citations, and an h-index of 45 for the specified author identifier. These bibliometric measures provide quantitative indicators of publication activity and citation visibility within the Scopus record. The ORCID profile separately describes more than 220 peer-reviewed articles associated with the research group and approximately 9,000 citations, demonstrating that totals can differ between databases and between individual and group-level records. [1]

Award Suitability

The available academic record contains several measurable characteristics relevant to consideration for researcher recognition, including a substantial indexed publication record, citation activity, an h-index of 45, and research spanning structural biochemistry, computational biology, plant molecular biology, and biophysics.  [1]

Conclusion

Maria Hrmova’s documented research profile demonstrates sustained activity across structural biochemistry, biophysics, computational biology, and plant molecular science. Her publications address enzymes, membrane proteins, transport mechanisms, transcription factors, protein modelling, and molecular responses to environmental stress. [5]

References

  1. ORCID. (2026). Maria Hrmova, ORCID record 0000-0002-3545-0605. ORCID.
    https://orcid.org/0000-0002-3545-0605
  2. Luang, S., Fernández-Luengo, X., Streltsov, V. A., Maréchal, J.-D., Masgrau, L., & Hrmova, M. (2025). The structure and dynamics of water molecule networks underlie catalytic efficiency in a glycoside exo-hydrolase. Communications Biology.
    https://doi.org/10.1038/s42003-025-08113-9
  3. Henderson, S. W., Nourmohammadi, S., & Hrmova, M. (2024). Protein Structural Modeling and Transport Thermodynamics Reveal That Plant Cation–Chloride Cotransporters Mediate Potassium–Chloride Symport. International Journal of Molecular Sciences.
    https://doi.org/10.3390/ijms252312955
  4. Hrmova, M. (2024). Quaternary arrangements of membrane proteins: an aquaporin case. Biochemical Society Transactions.
    https://doi.org/10.1042/BST20241630
  5. Hrmova, M. (2022). The evolutionary advantage of an aromatic clamp in plant family 3 glycoside exo-hydrolases. Nature Communications.
    https://doi.org/10.1038/s41467-022-33180-5

Mario Flores | Computational Biology | Next-Generation Science Trailblazer Award

Assist Prof Dr. Mario Flores | Computational Biology | Next-Generation Science Trailblazer Award

Biomedical, University of Texas at San Antonio, United States

Dr. Mario A. Flores is an Assistant Professor at the University of Texas at San Antonio with a joint appointment in Electrical and Computer Engineering (ECE) and Biomedical Engineering (BME). His research focuses on developing AI models for disease phenotype prediction, biomarker identification, and generating explainable mechanisms of disease progression. Dr. Flores has pioneered several genomics and AI-based tools integrating spatial transcriptomics and Electronic Health Records (EHR) to characterize tumor microenvironments. 💻🔬

Publication Profile

ORCID

 

Education:

🎓 B.S. in Electronics Engineering (Instrumentation) – Metropolitan Autonomous University, 2002. M.S. in Applied Mathematics – University of Texas at San Antonio, 2010. Ph.D. in Electrical Engineering (Computational Biology) – University of Texas at San Antonio, 2015

Experience:

Dr. Flores is an Assistant Professor at the University of Texas at San Antonio since 2020. He has previously held roles as a Postdoctoral Fellow at the National Institutes of Health (NIH) and as a Research Associate at the Greehey Children’s Cancer Research Institute. His expertise spans computational biology, bioinformatics, AI, and deep learning. He has contributed significantly to spatial biology and immuno-oncology, tackling diseases using innovative AI techniques. 🧬🤖

Research Focus:

Dr. Flores’ research delves into AI-driven disease modeling, integrating single-cell RNAseq, EHR, and RNA FISH imaging to study tumor microenvironments. His lab develops tools that predict disease gene dependence and identify dysregulated regulatory elements during disease progression. His ongoing work integrates AI with spatially resolved transcriptomics to study cancer and other complex diseases. 🔍🧠

Awards and Honors:

🏅 NIH Functional Peripheral and Central Vagal Neural Circuits Grant (PI), 2023-2025. Artificial Intelligence/Machine Learning Consortium Hub Specific Pilot Grant (PI), 2023-2025. Keystone Symposia Investigator Travel Award, June 2023

Publications Top Notes:

New tools for spatial biology transcriptomics & proteomics in immuno-oncologyImmuno-Oncology Insights (2023) DOI: 10.18609/ioi.2023.005
Cited by 5 articles.

Looking at the TMEs from the Spatial Transcriptomics PerspectiveAdvances in Cancer Research and Clinical Imaging (2022)
Cited by 8 articles.

Poster: The Tumor microenvironment of NSCLCKeystone Symposia (June 2023)
Presented at Keystone Symposia on Single Cell Biology.