Nabras Al-Mahrami | Proteomics | Best Researcher Award

Mr. Nabras Al-Mahrami | Proteomics | Best Researcher Award

Oman College of Health Sciences, Oman

Author Profiles ๐Ÿ“š

Scopus

Orcid

Early Academic Pursuits ๐ŸŽ“

Mr. Nabras Al-Mahramiโ€™s academic journey has been marked by a strong foundation in molecular medicine and bioinformatics. After completing his BSc in Medical Laboratory Science at Oman College of Health Sciences in 2018, he pursued an MSc in Molecular Medicine (Bioinformatics) at the Cyprus Institute of Neurology and Genetics in Cyprus, graduating in 2022. His research project, titled “Bioinformatics approach to related genetic variants with functionality, phenotype, and pathogenicity,” underscores his deep interest in understanding the genetic basis of diseases through bioinformatics techniques. This academic background enabled him to merge laboratory science with computational biology seamlessly.

Professional Endeavors ๐Ÿงฌ

Mr. Al-Mahrami has developed a strong professional profile, especially in bioinformatics, through his roles at Oman College of Health Sciences and the National Genetic Center. As a Bioinformatician at the Royal Hospital in Muscat from 2018 to 2024, he played a key role in genomics data analysis, developing pipelines for whole genome sequencing (WGS), whole exome sequencing (WES), and target panel analysis. His work also spanned Genome-Wide Association Studies (GWAS), Gene Set Enrichment Analysis (GSEA), RNA-seq analysis, and proteomics data analysis, demonstrating his broad and diverse expertise in the molecular biology and bioinformatics fields.

Contributions and Research Focus ๐Ÿ”ฌ

Mr. Al-Mahramiโ€™s research has greatly contributed to the field of bioinformatics, particularly in genetic variant analysis, phenotypic predictions, and understanding the pathogenicity of diseases. His use of advanced tools like machine learning, molecular docking, and network interaction analysis in the development of bioinformatics tools has further enhanced the precision of genomic research. His impactful research involves bridging the gap between bioinformatics, molecular genetics, and clinical applications, fostering advancements in precision medicine.

Impact and Influence ๐ŸŒ

Through his work, Mr. Al-Mahrami has influenced bioinformatics research not only in Oman but globally. His involvement in high-profile conferences, such as the 5th Congress of Reproductive Genetics and the Precision Med Exhibit and Summit 2023, has allowed him to share his insights on cutting-edge genetic technologies and their clinical applications. His academic contributions have positioned him as a key figure in applying bioinformatics approaches to real-world medical challenges.

Academic Cites ๐Ÿ“š

Mr. Al-Mahrami has contributed significantly to academic advancements. His research and presentations have been featured at various scientific conferences and workshops, such as the Gene Set Enrichment Analysis Workshop hosted by the Swiss Bioinformatics Institute. His academic works and insights into genetic technologies are widely cited and discussed in the bioinformatics and medical communities, particularly regarding the potential of AI-driven bioinformatics tools in healthcare.

Technical Skills ๐Ÿ’ป

Mr. Al-Mahrami possesses advanced technical skills essential for modern bioinformatics. His proficiency in R (RStudio) and Python programming allows him to handle large datasets and perform complex analyses, while his experience with Linux OS and HPC ensures that his computational work is efficient and scalable. Additionally, his knowledge in CSS and JavaScript aids in the development of user-friendly bioinformatics tools and applications.

Teaching Experience๐Ÿ‘จโ€๐Ÿซ

In 2024, Mr. Al-Mahrami took on the role of Academic Faculty in Bioinformatics at Oman College of Health Sciences, where he teaches Principles of Bioinformatics, covering both theoretical and practical modules, and Laboratory Management. His ability to impart knowledge to students helps shape the next generation of bioinformaticians, ensuring they are equipped with both theoretical insights and hands-on experience in the field. His passion for education extends beyond the classroom, influencing students to pursue careers in bioinformatics and molecular medicine.

Legacy and Future Contributions ๐ŸŒŸ

Looking forward, Mr. Al-Mahramiโ€™s journey is marked by his commitment to expanding bioinformatics research and education in Oman and beyond. His work in genomic data analysis, AI integration, and bioinformatics tools development lays the groundwork for future innovations in personalized medicine. His legacy will likely include contributing to groundbreaking research and training future generations of bioinformaticians, particularly in regions with emerging biomedical research landscapes. With his continued involvement in both academia and research, his influence on the scientific community is poised to grow, fostering a deeper understanding of the genetic basis of diseases and improving patient care globally.

Top Noted Publications ๐Ÿ“–

Exploring advanced genomic and immunoinformatics techniques for identifying drug and vaccine targets against SARS-CoV-2
    • Authors: Syed Luqman Ali, Awais Ali, Waseef Ullah, Abdulaziz Alamri, Elham Mohammed Khatrawi, Gulzira Sagimova, Aigul Almabayeva, Farida Rakhimzhanova, Gulsum Askarova, Fatima Suleimenova et al.
    • Journal: Journal of Genetic Engineering and Biotechnology
    • Year: 2024
In-silico and in-vitro studies to identify potential inhibitors of SARS-CoV-2 spike protein from Omani medicinal plants
    • Authors: Nabras Al-Mahrami, Smitha Sunil Kumaran Nair, Adhra Al Mawali, Raja-Mohamed Beema Shafreen, Saeed Ullah, Sobia Ahsan Halim, Ahmed Al-Harrasi, Nallusamy Sivakumar
    • Journal: Heliyon
    • Year: 2024
Bioinformatics Approach is Unraveling Potential Crosstalk between Cytomegalovirus and Epilepsy
    • Authors: Salim Al Rashdi, Nabras Al-Mahrami
    • Journal: Preprint
    • Year: 2024
PlantMedOman: an online database for Oman’s medicinal plants
    • Authors: Department of Computing and Electronics Engineering, Middle East College, Sultanate of Oman; Smitha Sunil Kumaran Nair; Aqsa Bibi; Nabras Al-Mahrami; Piyusha Mahesh Satam; Alya Al Farsi et al.
    • Journal: Bioinformation
    • Year: 2024

Neda Fayyazi | Bioinformatics | Excellence in Innovation

Dr. Neda Fayyazi | Bioinformatics | Excellence in Innovation

ogen/ medical iincubator, Iran

ย Author Profile ๐Ÿ“š

Google Scholar

Early Academic Pursuits ๐ŸŽ“

Dr. Neda Fayyazi’s academic journey is marked by significant achievements, beginning with her Ph.D. in Pharmaceutical and Medicinal Chemistry from Isfahan University of Medical Sciences, which she completed between February 2015 and October 2019. Her outstanding academic performance earned her a top rank (A) with a GPA of 3.60. Dr. Fayyazi’s thesis, titled Molecular modeling, synthesis, and biological evaluation of hybrid multi-target iron chelators for anticancer and antimalarial applications, was highly regarded, securing an Excellent Rank (A). Her interdisciplinary focus on combining computational techniques and medicinal chemistry positions her as an emerging leader in the field.

Professional Endeavors ๐Ÿ’ผ

Dr. Fayyazi’s professional experience spans academia and industry, with roles in pharmaceutical companies and research institutions. She has worked with leading organizations, including TPCO Holding, Pars Darou Pharmaceutical Company, and Barkat Holding. Her roles involved product development, technology transfer, and research in the areas of pharmaceutical formulations, softgel production, and drug discovery. As a board member of Ozhan Pharma Group and an active participant in various projects, Dr. Fayyazi continues to bridge the gap between scientific research and commercial application.

Contributions and Research Focus ๐Ÿ”ฌ

Dr. Fayyaziโ€™s research contributions are primarily in the field of Medicinal Chemistry, with a focus on drug design, molecular modeling, and hybrid molecule synthesis. Her work on molecular dynamics simulations and protein-ligand interactions using cutting-edge tools like Gromacs, GOLD, and Discovery Studio has been instrumental in advancing the understanding of drug interactions at the molecular level. Additionally, she is passionate about developing novel drug delivery systems, particularly in sustained-release formulations, and exploring natural products for therapeutic potential. Her research integrates AI and machine learning approaches in drug discovery, a testament to her forward-thinking methodology.

Impact and Influence ๐ŸŒ

Dr. Fayyazi has had a significant impact on the pharmaceutical industry and academia through her work in drug discovery, technology transfer, and industry collaboration. Her expertise in bioassay-guided screening and cancer therapy research has led to breakthroughs in medicinal chemistry, especially in the development of multi-target anticancer agents. As a member of various prestigious associations such as the European Bioinformatics Association and the American Chemical Society, she has contributed to the global advancement of biotechnology and pharmaceutical sciences. Her work has garnered recognition, including a prize for innovative ideas in drug research at the Euro Chemistry Conference in Berlin (2019).

Academic Cites and Research Recognition ๐Ÿ“‘

Dr. Fayyazi’s academic publications and research outputs are highly cited in the fields of molecular modeling and pharmaceutical sciences. Her collaborations with research institutions and pharmaceutical companies have cemented her reputation as a thought leader in medicinal chemistry. Notably, her research on iron chelators and cancer treatment has positioned her as a pivotal figure in advancing drug discovery methodologies. Her work is frequently referenced in studies related to drug design, molecular dynamics, and natural product research.

Technical Skills and Expertise ๐Ÿง‘โ€๐Ÿ”ฌ

Dr. Fayyaziโ€™s technical proficiency extends across a broad spectrum of advanced scientific methods and tools. She is highly skilled in QSAR (Quantitative Structure-Activity Relationship), molecular dynamics simulations, and protein-ligand interactions. Her ability to synthesize hybrid compounds, coupled with her expertise in computational chemistry and machine learning, allows her to investigate complex biochemical interactions and design novel therapeutic agents. Furthermore, her knowledge of Linux environments, scripting, and drug discovery processes in natural products underscores her broad technical competence.

Teaching Experience ๐Ÿ“š

Dr. Fayyaziโ€™s passion for teaching is evident in her role as an educator at Isfahan University of Medical Sciences, where she has taught undergraduate students in organic chemistry, pharmacology, and computational chemistry. She has also supervised and mentored numerous masterโ€™s and Ph.D. students in the fields of medicinal chemistry and bioassays. Her teaching methods emphasize interdisciplinary approaches, integrating cutting-edge technology and scientific research into practical applications.

Legacy and Future Contributions ๐ŸŒŸ

Looking ahead, Dr. Fayyazi’s future contributions are poised to continue shaping the pharmaceutical and biotechnology sectors. Her ongoing projects in controlled release formulations, softgel technology transfer, and sustained-release drug delivery systems demonstrate her commitment to improving patient outcomes through innovative therapeutic solutions. As she works to bridge the gap between academic research and industry applications, Dr. Fayyazi aims to inspire the next generation of scientists and continue her impactful work in drug design and natural product research.

Honor and Awards ๐Ÿ†

Dr. Fayyazi’s career has been punctuated with numerous accolades, including the Best Score in the National Entrance Exam for Pharmaceutical Projects in 2001, the Productivity Management Prize at Soha Pharmaceutical Company (2010), and the prestigious PhD Scholarship for Medicinal Chemistry at Isfahan University. These awards reflect her unwavering dedication to excellence and innovation in both academic and industrial settings.

 

Top Noted Publications ๐Ÿ“–

Molecular dynamics simulation and 3D-pharmacophore analysis of new quinoline-based analogues with dual potential against EGFR and VEGFR-2
    • Authors: N. Fayyazi, A. Fassihi, S. Esmaeili, S. Taheri, J.B. Ghasemi, L. Saghaie
    • Journal: International Journal of Biological Macromolecules
    • Year: 2020
Pharmacophore modeling, synthesis, scaffold hopping and biological ฮฒ-Hematin inhibition interaction studies for anti-malaria compounds
    • Authors: N. Fayyazi, S. Esmaeili, S. Taheri, F.F. Ribeiro, M.T. Scotti, L. Scotti, …
    • Journal: Current Topics in Medicinal Chemistry
    • Year: 2019
Molecular dynamics simulation, 3D-pharmacophore and scaffold hopping analysis in the design of multi-target drugs to inhibit potential targets of COVID-19
    • Authors: N. Fayyazi, T. Mostashari-Rad, J.B. Ghasemi, M.M. Ardakani, F. Kobarfard
    • Journal: Journal of Biomolecular Structure and Dynamics
    • Year: 2022
Design, synthesis, in silico studies, and antiproliferative evaluations of novel indolin-2-one derivatives containing 3-hydroxy-4-pyridinone fragment
    • Authors: P. Shirvani, N. Fayyazi, S. Van Belle, Z. Debyser, F. Christ, L. Saghaie, …
    • Journal: Bioorganic & Medicinal Chemistry Letters
    • Year: 2022
Phytochemical analysis and purification of chief components of Ononis spinosa
    • Authors: N. Fayyazi, F. Naghibi, S. Taheri
    • Journal: N/A
    • Year: 2014
A new insight into the mechanism of loading of Granisetron, Naltrexone and Risperidone in poly (ortho ester) and poly (lactic-co-glycolic acid) as the controlled release drug
    • Authors: L. Karami, N. Fayyazi, M. Akbari, A. Molaei-Baghbanan, M. Maaza
    • Journal: Journal of Drug Delivery Science and Technology
    • Year: 2024

Medhat Saleh | Genomic Data Analytics | Best Researcher Award

Mr. Medhat Saleh | Genomic Data Analytics | Best Researcher Award

Bari University, Italy

๐Ÿ‘จโ€๐ŸŽ“Professional Profiles

Orcid Profile

Scopus Profile

Google Scholar Profile

๐Ÿ‘จโ€๐Ÿ”ฌ Summary

Dr. Medhat Saleh is a dedicated Ph.D. student at the Department of Veterinary Medicine, University of Bari, Italy, and an Assistant Lecturer at Benha University, Egypt. His academic expertise includes quantitative genetics, animal breeding, genomics, and bioinformatics. His research focuses on studying genomic diversity, the genetic architecture of complex traits, and conducting GWAS analyses to identify SNPs and functional genes that influence economic traits in livestock species.

๐ŸŽ“ Education

Dr. Saleh holds a Ph.D. in Veterinary Medicine from the University of Bari, Italy (2021 – Present). He completed his M.Sc. in Agricultural Sciences (Biotechnology) at Benha University, Egypt (2016 – 2019), and earned his B.Sc. in Agricultural Science (Animal Production) from Benha University, Egypt (2011 – 2015).

๐Ÿ’ผ Professional Experience

Dr. Salehโ€™s academic career includes roles such as a Ph.D. Student at the University of Bari (2021 – Present), an Assistant Lecturer in Poultry Breeding and Genetics at Benha University, Egypt (2019 – Present), and a Demonstrator at Benha University (2015 – 2019). He has also served as a Visiting Scholar at the University of Bari in 2017 and as a Visiting Researcher at Wageningen University, Netherlands (2023 – 2024).

๐Ÿ”ง Technical Skills

Dr. Saleh has expertise in molecular techniques such as DNA/RNA extraction, PCR, and PCR-RFLP. He is proficient in bioinformatics tools including Plink, R, GENALEX, SAS, and BLUPF90 for data analysis. He also applies bioinformatics databases to genomic research, focusing on genetic analysis and statistical techniques for animal breeding.

๐Ÿ… Teaching Experience

Dr. Saleh has contributed significantly to teaching as an Assistant Lecturer in Poultry Breeding and Genetics at Benha University, where he also organized workshops on poultry incubation and brooding techniques. His dedication to enhancing the practical knowledge of students is evident through his active participation in curriculum development and student mentoring.

๐Ÿ”ฌ Research Interests

His primary research interests lie in exploring genomic diversity and the genetic architecture of complex traits in livestock species, with a particular focus on GWAS analyses. He is dedicated to identifying SNPs and functional genes that influence important economic traits, with applications in animal breeding and genomics.

 

๐Ÿ“–Top Noted Publications

Poisoning by Nerium oleander L. in Franconia Geese

Authors: Nicola Pugliese, Antonella Tinelli, Giuseppe Crescenzo, Maria Nieddu, Elena Baralla, Antonella Schiavone, Zizzo Nicola, Rossella Samarelli, Filomena Dessรฌ, Elena Circella et al.

Journal: Animals

Year: 2024

A Safe and Effective Atovaquone-Proguanil Therapeutic Protocol for the Treatment of Avian Malaria by Plasmodium relictum in Snowy Owl (Bubo scandiacus)

Authors: Nicola Pugliese, Rossella Samarelli, Roberto Lombardi, Antonella Schiavone, Giuseppe Crescenzo, Elena Circella, Claudia Zizzadoro, Olimpia Lai, Medhat S. Saleh, Michela Prioletti et al.

Journal: Animals

Year: 2023

Pilot Study on the Action of Thymus vulgaris Essential Oil in Treating the Most Common Bacterial Contaminants and Salmonella enterica subsp. enterica Serovar Derby in Poultry Litter

Authors: Michela Galgano, Francesco Pellegrini, Giuseppe Fracchiolla, Daniela Mrenoshki, Aya Attia Koraney Zarea, Angelica Bianco, Laura Del Sambro, Loredana Capozzi, Antonella Schiavone, Medhat S. Saleh et al.

Journal: Antibiotics

Year: 2023

Vertical Transmission of Salmonella enterica ser. Gallinarum in Dermanyssus gallinae by the Mean of the Baudruche-Based Artificial Feeding Device

Authors: Antonella Schiavone, Nicola Pugliese, Ifra Siddique, Rossella Samarelli, Medhat S. Saleh, Roberto Lombardi, Elena Circella, Antonio Camarda

Journal: Applied Sciences

Year: 2023

Crossbreeding Impacts on Caecal Bacterial Count and Antibody Titres in Chickens

Authors: M. S. Saleh, M. H. Khalil, M. M. Iraqi, A. Camarda

Journal: British Poultry Science

Year: 2022

Polymorphic Characterisation of Gallinacin Candidate Genes and Their Molecular Associations with Growth and Immunity Traits in Chickens

Authors: M. S. Saleh, M. H. Khalil, M. M. Iraqi, A. Camarda

Journal: British Poultry Science

Year: 2021

Bohong Chen | Bioinformatics analysis | Best Researcher Award

Mr. Bohong Chen | Bioinformatics analysis | Best Researcher Award

Mr. Bohong Chen at The First Affiliated Hospital of Xi’an Jiaotong University, China

๐Ÿ‘จโ€๐ŸŽ“Professional Profile

๐Ÿง‘โ€๐Ÿ”ฌ Summary

Mr. Bohong Chen is a talented researcher from The First Affiliated Hospital of Xi’an Jiaotong University, China, currently pursuing his PhD with a focus on tumor drug resistance mechanisms, specifically for breast cancer. His work integrates transcriptomics, single-cell bioinformatics, and Mendelian randomization to better understand the molecular foundations of disease. With a strong academic background and multiple published articles in high-impact journals, Mr. Chen is well-equipped to contribute to foundational biomedical research aimed at improving cancer treatment strategies.

๐Ÿ‘จโ€๐ŸŽ“ Education

Mr. Bohong Chen is currently pursuing a PhD at The First Affiliated Hospital of Xi’an Jiaotong University in China, where he focuses on exploring the mechanisms of tumor drug resistance, particularly for breast cancer. Prior to this, he earned his Masterโ€™s degree under the supervision of Wu Dapeng, equipping him with strong research skills in bioinformatics and molecular biology.

๐Ÿ† Academic Honors

Mr. Chen has received several prestigious academic honors, including a Second-Class Scholarship for two consecutive years and the title of “Excellent Graduate Student” for the 2021 academic year. Additionally, he serves as a reviewer for the SCI journal PLOS ONE, demonstrating his academic contributions.

๐Ÿ’ป Technical Skills

With expertise in bioinformatics, Mr. Chen is proficient in using R Language for transcriptomic and single-cell data analysis. His skills also include Mendelian randomization, a method he uses for genetic epidemiology and to explore causal relationships in disease mechanisms. These technical skills form the backbone of his innovative research in tumor drug resistance and other medical conditions.

๐Ÿ‘จโ€๐Ÿซ Teaching Experience

In addition to his research, Mr. Chen has demonstrated teaching abilities as a Master’s Supervisor under Wu Dapeng. He assists graduate students in their research and offers valuable guidance in bioinformatics and genomics.

๐Ÿ”ฌ Research Interests

Mr. Chenโ€™s research interests are primarily focused on understanding tumor drug resistance, especially in breast cancer. He is particularly interested in leveraging advanced bioinformatics techniques such as single-cell sequencing and machine learning to identify novel therapeutic targets. His goal is to provide more effective treatment strategies for cancer patients by exploring the molecular mechanisms behind drug resistance.