جستجوی استاد راهنمای دانشگاهی

Dr. Clement Agoni is an SFI Fellow at the School of Medicine, University College Dublin. He holds a Ph.D. in Pharmaceutical Chemistry and an MMedSc from the University of KwaZulu-Natal (South Africa), and a BSc in Medical Laboratory Technology from the University of Cape Coast (Ghana). His research focuses on computational drug design, structural bioinformatics, and molecular modeling for discovering therapeutic molecules, particularly bioactive peptides and small molecules. Academic Positions: Honorary Research Fellow (University of KwaZulu-Natal), Postdoctoral Research Fellow (Tshwane University of Technology), Research Assistant (University of KwaZulu-Natal). Non-Academic Roles: Laboratory Manager (Baiden Ghartey Memorial Hospital), Founder of Dream Laboratory Consult. Research Interests: Developing computational pipelines for peptide discovery, integrating machine learning and protein language models to prioritize therapeutic candidates. His work emphasizes accelerating drug discovery through faster computational methods and structural modeling. Articles Trends: Recent work includes computational screening for anti-SARS-CoV-2 therapeutics, peptide bioactivity predictors (AutoPeptideML), gold complexes for HIV inhibition, and molecular modeling of SARS-CoV-2 proteins. Themes span drug repurposing, natural product inhibitors, and bioactive peptide characterization. Scientific Awards: Marie Skłodowska-Curie CareerFit Plus Fellowship, SFI Fellow, Top 10 Published Postgraduate Students (2019). Advising/Grants: Mentored 7 students in projects like Food Protein Database and peptide-GPCR interactions. Funded by EU Horizon 2020 via the Marie Skłodowska-Curie grant (No. 847402). Active in grant administration and collaborative research networks. Labs/Teams: Collaborates with the Conway Institute, NITheCS, and global research groups in computational biology and drug discovery.

• Computer-Aided Drug Design
• Structural Bioinformatics
• Molecular Modeling
• +۳ مورد دیگر

Dr. Jianghui Meng is an Assistant Professor at the School of Biotechnology , Dublin City University (DCU), and a Principal Investigator in the National Institute of Cellular Biotechnology . His research focuses on defining itch and pain signaling pathways , elucidating neuroimmune modulation , and developing novel analgesics and antipruritics with support from Science Foundation Ireland (SFI), Sanofi, and the LEO Foundation. Molecular Neuroscience Neurotherapeutics Chronic Itch Mechanisms Neuroimmune Interactions Translational Dermatology His recent work explores SNARE proteins , cytokine signaling (e.g., IL-20, IL-27), and neuroimmune pathways in atopic dermatitis and chronic pain. Key publications highlight interventions in CCL8–CCR8 , VAMP7 , and GSK3 signaling for inflammation and itch mitigation. Funded projects include Unravelling SNARE proteins in pruritus (2016–2020) and Delineating Chronic Itch Mechanism (2024–2028). No awards or students are explicitly mentioned.

• Molecular Neuroscience
• Neurotherapeutics
• Chronic Itch
• +۴ مورد دیگر

Dr. Shubham Vishnoi is a Postdoctoral Researcher at the University of Limerick within the Faculty of Science and Engineering, Department of Physics . He completed his PhD in Physics in 2023 under the supervision of Professor Damien Thompson, funded through the Science Foundation Ireland SSPC research center for Pharmaceuticals. He holds advanced degrees in Pharmaceutical Sciences from NIPER Mohali, India (M.S. 2019) and first-class honours in B.Pharm (2017). Research Expertise: Specializing in physics-based molecular simulations and computational protein design , his work focuses on G protein-coupled receptor (GPCR) modeling and atom-scale simulation techniques. He combines machine learning with high-throughput data analysis to solve critical challenges in biopharmaceutical formulation design , particularly for peptide-based therapeutics . 2021 SSPC Industrial PhD Placement Award Three-time winner of President's Volunteer Award (2020, 2021, and special recognition for COVID-19 Volunteering ) Industry Experience: Completed impactful placement at APC Ltd, Dublin (2021-2022) developing machine learning tools for drug solubility analysis and high-throughput screening visualization systems. Collaborated with Upstream Bioprocessing teams on digital transformation initiatives in pharmaceutical R&D.

• Physics-based Molecular Simulations
• Computational Protein Design
• GPCR Modelling
• +۴ مورد دیگر