Dr. Shazia Rehman | Bioinformatics | Research Excellence Award 

Dr. Shazia Rehman | Bioinformatics | Research Excellence Award 

Rawalpindi Women University | Pakistan 

Dr. Shazia Rehman is a plant scientist specializing in Bioinformatics, molecular biology, and genetic research. Her work focuses on CRISPR-Cas9 gene editing, phylogenetic and genetic diversity studies, stress physiology, proteomics, metabolomics, and pharmaceutical applications of algae. She is skilled in molecular techniques, tissue culture, and bioinformatics tools for genome analysis and protein structure prediction. Dr. Rehman has published extensively in peer-reviewed journals, including research on plant transcription factors, proteinase inhibitor-II (PI-II) genes, and crop genetic diversity. She has contributed to national and international research projects and received recognition such as the Seal of Excellence from the European Commission. Her research integrates molecular biology, biotechnology, and bioinformatics to advance plant functional genomics and applied plant sciences.

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Citations 467

Documents 18

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Featured Publications

Prof. Marta Szachniuk | RNA Structure | Women Researcher Award 

Prof. Marta Szachniuk | RNA Structure | Women Researcher Award 

Poznan University of Technology | Poland 

Marta Szachniuk is an internationally recognized researcher in structural bioinformatics and computational RNA biology, combining computer science, mathematics, and life sciences to address key challenges in RNA structure analysis. Her research focuses on the development of innovative combinatorial models, algorithms, and computational methods for RNA structure prediction, modeling, and functional motif identification. She is the founder and lead architect of RNApolis, a comprehensive virtual laboratory that integrates original tools widely used by the global RNA research community. These systems support large-scale computational studies and translational applications in biotechnology, medical diagnostics, and drug discovery. Her scientific output includes a substantial body of influential publications and extensive participation in international conferences, reflecting strong research impact. She has received numerous prestigious distinctions recognizing excellence in bioinformatics and technical sciences. Beyond research, she plays a significant leadership role in international scientific societies and advisory bodies shaping computational biology. She serves on editorial boards of leading journals and contributes extensively as a reviewer for top-tier scientific publications and funding agencies. Her academic activities include mentoring researchers at multiple career stages and delivering advanced education in algorithmics and structural bioinformatics. Through sustained research excellence, infrastructure development, and community leadership, she has made a lasting and internationally visible contribution to computational life sciences.

Citation Metrics (Scopus)

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Citations
2,795

Documents
71

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26

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Featured Publications

Graph neural network and diffusion model for modeling RNA interatomic interactions
– Bioinformatics, 2025 
Assessing interface accuracy in macromolecular complexes
– PLOS ONE, 2025 
Unknotting RNA: A method to resolve computational artifacts
– PLOS Computational Biology, 2025
RNA-Puzzles Round V: Blind predictions of 23 RNA structures
– Nature Methods, 2025 
Toward Increasing the Credibility of RNA Design
– Book Chapter, 2025 

Assoc. Prof. Dr. Halil İbrahim GÜLER | MD Simulations | Best Researcher Award 

Assoc. Prof. Dr. Halil İbrahim GÜLER | MD Simulations | Best Researcher Award 

Karadeniz Technical University | Turkey

Assoc. Prof. Halil İbrahim Güler is a distinguished molecular biologist and geneticist whose research unites enzymology, proteomics, bioinformatics, and microbial genetics. A graduate of Sivas Cumhuriyet University and Karadeniz Technical University (KTÜ), where he also earned his Ph.D., Güler’s early studies on Thermus plasmids laid the foundation for his focus on microbial adaptation and enzyme mechanisms. Currently serving as Associate Professor in KTÜ’s Department of Molecular Biology and Genetics, he leads innovative research on microbial enzymes—particularly β-glucosidases—and designs biocatalysts for industrial and medical applications. Using structural modeling, molecular docking, and dynamics simulations, he explores enzyme-ligand interactions and develops compounds with antitumor, antidiabetic, and anti-Alzheimer potential. His prolific publications highlight contributions to biocatalyst design, protein stability, and natural product biosynthesis. As an educator and mentor, he teaches courses in Bioinformatics, Microbial Ecology, and Gene Manipulation, fostering data-driven and experimental proficiency among students. His administrative roles and participation in research committees reflect his dedication to institutional growth and scientific collaboration. Through his academic leadership and interdisciplinary research, Güler continues to advance molecular genetics and biotechnology in Turkey and beyond.

Profiles: Scopus | Google Scholar 

Publications

Synthesis, characterization and antitumor assessments of sulfonamide-1,2,4-triazole compounds with EGFR inhibitory potential: DFT calculation, molecular docking, molecular dynamics, and MM/PBSA approaches. (2026). Journal of Molecular Structure.

Comparison of active site mutations at subsite +2 of Anoxybacillus ayderensis A9 β-glucosidase for hydrolysis of pNPG and polydatin. (2025). BMC Biotechnology.

New methyl/benzyl-1,2,4-triazole-3-one derivatives: Synthesis, characterization (IR, NMR), antidiabetic, anti-Alzheimer, and molecular docking study. (2025). Journal of Biochemical and Molecular Toxicology.

Fluorobenzylidene-1,2,4-triazol-3-one derivatives: Synthesis, characterization, antimicrobial activity, and molecular docking study. (2025). Russian Journal of Organic Chemistry.

Biochemical characterization of a novel, glucose-tolerant β-glucosidase from Jiangella ureilytica KC603, and determination of resveratrol production capacity from polydatin.