Irena Roterman | Protein structure | Best Researcher Award

Irena Roterman | Protein structure | Best Researcher Award

Prof. Irena Roterman , Jagiellonian University – Medical College , Poland

Irena Roterman-Konieczna is a distinguished biochemist specializing in bioinformatics and protein structure. With a PhD in biochemistry from the Nicolaus Copernicus Medical Academy Krakow, she has held significant academic positions, including Professor of Medical Sciences at Jagiellonian University. Irena is recognized for her innovative contributions, particularly the fuzzy oil drop model, which emphasizes environmental influence on protein folding. She has published extensively, contributing to the understanding of protein dynamics and interactions. As a committed educator, she has guided numerous PhD students and served as the Chief Editor for the journal Bio-Algorithms and Med-Systems. Her work continues to impact the fields of protein folding, membrane proteins, and systems biology.

Publication Profile

Scopus

Strengths for the Award

Irena Roterman-Konieczna’s extensive academic background and innovative contributions to the field of bioinformatics and protein structure make her an exceptional candidate for the Best Researcher Award. Her pioneering work on the fuzzy oil drop model has provided critical insights into the environmental influences on protein folding. With a prolific publication record of 149 articles, she has consistently advanced the understanding of protein dynamics, particularly in membrane proteins and chaperonins. Additionally, her role as Chief Editor of the journal Bio-Algorithms and Med-Systems demonstrates her leadership in the scientific community. Her commitment to mentoring future researchers is evident through her advisory work with 15 PhD students, ensuring the continued growth of the field.

Areas for Improvement

While Irena’s contributions to theoretical models are significant, there may be opportunities to further integrate experimental validation into her research. Collaborating with experimentalists could enhance the practical applications of her models, particularly in understanding real-world protein behavior. Additionally, increasing outreach to interdisciplinary fields could broaden the impact of her research on medicine and biotechnology.

Education

Irena Roterman-Konieczna completed her basic education in theoretical chemistry at Jagiellonian University in 1974. She earned her PhD in biochemistry in 1984, focusing on the structure of the recombinant IgG hinge region at the Nicolaus Copernicus Medical Academy in Krakow. Following her doctoral studies, Irena undertook postdoctoral research at Cornell University from 1987 to 1989 in Harold A. Scheraga’s group, where she analyzed force fields in molecular modeling programs like Amber and Charmm. In 1994, she achieved habilitation in biochemistry at Jagiellonian University’s Faculty of Biotechnology and later attained the title of Professor of Medical Sciences in 2004. This strong educational foundation laid the groundwork for her extensive research and contributions to the field of biochemistry and bioinformatics.

Experience

Irena Roterman-Konieczna has a robust academic and research background spanning several decades. She has held key academic positions at Jagiellonian University, where she is currently a Professor of Medical Sciences. Irena’s postdoctoral research at Cornell University deepened her expertise in molecular modeling and protein interactions. Throughout her career, she has authored numerous publications and books, significantly advancing the understanding of protein folding and structure. As Chief Editor of the journal Bio-Algorithms and Med-Systems from 2005 to 2020, she played a vital role in disseminating research in the field. Additionally, she has supervised 15 PhD students, fostering the next generation of researchers. Irena’s collaborative efforts and advisory roles in various projects highlight her commitment to scientific advancement and education in biochemistry and bioinformatics.

Research Focus

Irena Roterman-Konieczna’s research centers on bioinformatics, particularly in understanding protein structure and dynamics. Her innovative fuzzy oil drop model explores the role of environmental factors in protein folding, proposing that external force fields influence hydrophobic core formation and overall structure. Irena investigates the effects of membrane environments on protein behavior, examining how hydrophobic factors can alter folding dynamics. Her work also delves into chaperonins and their role in facilitating proper protein folding under varying conditions. Additionally, she explores domain-swapping structures and their implications for complex formation in proteins. Irena’s research emphasizes the necessity of simulating external force fields in computational protein folding, integrating both internal and external interactions. Her contributions to systems biology and the development of quantitative models for protein behavior continue to advance the field, making significant impacts in both theoretical and practical applications.

Publications Top Notes

  • Chameleon Sequences─Structural Effects in Proteins Characterized by Hydrophobicity Disorder 🌊
  • Transmembrane proteins—Different anchoring systems
  • External Force Field for Protein Folding in Chaperonins─Potential Application in In Silico Protein Folding 💻
  • Structural features of Prussian Blue-related iron complex FeT of activity to peroxidate unsaturated fatty acids 🔬
  • Domain swapping: a mathematical model for quantitative assessment of structural effects 📊
  • Editorial: Structure and function of trans-membrane proteins 🧬
  • Model of the external force field for the protein folding process—the role of prefoldin 🌐
  • Role of environmental specificity in CASP results 📈
  • Ab initio protein structure prediction: the necessary presence of external force field as it is delivered by Hsp40 chaperone 🔍
  • Secondary structure in polymorphic forms of alpha-synuclein amyloids 🧪

Conclusion

Irena Roterman-Konieczna’s innovative research, leadership in academia, and dedication to mentorship position her as a strong contender for the Best Researcher Award. Her groundbreaking work in bioinformatics not only advances scientific understanding but also lays the groundwork for future discoveries in protein dynamics and interactions. Recognizing her contributions would not only honor her achievements but also inspire ongoing research in the field.