جستجوی استاد راهنمای دانشگاهی

Professor Thierry Langer is a Full Professor of Pharmaceutical Chemistry at the University of Vienna’s Faculty of Life Sciences (Department of Pharmaceutical Sciences). He leads research in computational drug design, with a focus on pharmacophore modeling, 3D-QSAR analysis, and AI-driven molecular design. His work bridges theoretical and experimental chemistry, addressing targets like viral proteases (e.g., SARS-CoV-2), GABA receptors, and dopamine transporters. Research interests include: Pharmacophore-guided drug discovery for anti-viral and CNS therapies Development of next-generation computational tools (e.g., PharmacoMatch, QPhAR) Protein-ligand interaction modeling using neural networks and graph-based algorithms Recent studies focus on: Inhibitors for herpesvirus nuclear egress complexes, AI-optimized antivirals, and dopamine transporter inhibitors for cognitive enhancement. His lab collaborates on projects like the NeuroDeRisk initiative to de-risk neurotoxic compounds. Publications emphasize drug repurposing, metabolic pathway analysis, and scalable synthesis methods for promising drug candidates.

• Computer-Aided Molecular Design
• Pharmacophore Modeling
• Drug Discovery
• +۷ مورد دیگر

Günter Klambauer is a Professor at the Institute for Machine Learning , Johannes Kepler University Linz, and leads the LIT Artificial Intelligence Lab in Austria. His research bridges artificial intelligence with life sciences , focusing on deep learning applications in retinal imaging , drug discovery , and hydrological modeling . Affiliation: JKU Institute for Machine Learning & LIT Artificial Intelligence Lab Key Research Areas: Medical Imaging AI, Biological Sequence Modeling, Generative Models for Molecules, Time-Series Forecasting His recent publications highlight extended LSTM architectures (xLSTM) for biological sequence modeling, contrastive learning in retinal imaging, and in-context learning for low-data drug discovery. He has pioneered frameworks like TiRex for zero-shot forecasting and LaM-SLidE for spatial dynamical systems. Scientific Awards: Austrian Life Science Award (2012) Award of Excellence (2014) ELLIS Society Scholar (2020) Director, ELLIS Machine Learning for Molecules Discovery Program (2023) Professor Klambauer collaborates extensively on AI-driven biomedical projects , including retinal image analysis and antibody design, while advancing foundational neural network architectures for diverse domains from healthcare to climate modeling.

• Machine Learning
• Computational Biology
• Medical Informatics
• +۹ مورد دیگر

Dr. Alexandra Machado Ferreira Castilho is a leading researcher at the Institute of Plant Biotechnology and Cell Biology within the University of Natural Resources and Life Sciences, Vienna (BOKU) . She has served as Principal Investigator since 2018 and previously as Scientific Coordinator of the Laura Bassi Center PlantBioP (2010-2017). Her work focuses on Plant Molecular Farming and Glycoengineering , aiming to optimize plant-based production of therapeutically relevant glycoproteins. Specializes in tailoring N-glycan profiles for biopharmaceuticals Develops plant cell factories for antibody and decoy receptor production Key projects include SARS-CoV-2 neutralization strategies and cancer immunotherapy agents Her recent publications analyze glycoengineering techniques in Nicotiana benthamiana , covering topics like ACE2-Fc decoys for viral neutralization, PD1/PDL1 blockade for oncology, and protease suppression for protein stability. She has received funding from the Austrian Science Fund (FWF) for projects on immune checkpoint inhibitors and glycosylation pathway modulation.

• Plant Biotechnology
• Molecular Biology
• Biochemistry
• +۴ مورد دیگر

Eduard Gröller is a Full Professor of Visualization at the Vienna University of Technology (TU Wien), leading the Research Unit of Computer Graphics and the Visualization Group within the Institute of Visual Computing & Human-Centered Technology (VC&HCT). He holds adjunct professorships at the University of Bergen, Norway, and chairs several academic committees. His academic journey began with a PhD in 1993 from TU Wien, followed by extensive contributions to visualization research. His research focuses on visual computing, scientific visualization, and medical imaging, with applications in energy modeling, climate analysis, and molecular biology. Gröller has pioneered methods like BEMTrace for BIM-based energy models and HORA 3D for flood risk visualization. He co-authored over 300 publications, including foundational work in IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum . Gröller's awards include the IEEE VGTC Technical Achievement Award (2019), Eurographics 2015 Outstanding Technical Contributions Award, and Fellow of the Eurographics Association (2009). He actively contributes to conferences like EuroVis and IEEE Visualization as program chair and reviewer. His educational efforts span courses in visual computing, graphics, and data analysis, with a focus on immersive tools like ImNDT for material data exploration. Current projects include Climate-Sensitive Adaptive Planning for Resilient Cities, Visual Analytics in Radiation Therapy, and scalable web-based visualization techniques. He leads teams in VRVis, a research center for applied visualization, and collaborates internationally on medical imaging and environmental data challenges.

• Visual Computing
• Scientific Visualization
• Volume Visualization
• +۵ مورد دیگر

Christian Fellinger is a Researcher at the Department of Pharmaceutical Sciences within the Faculty of Life Sciences at the University of Vienna. With a B.Sc. and MSc background, he conducts interdisciplinary research spanning computational chemistry and molecular toxicology, focusing on protein-ligand interactions and the biological impacts of environmental compounds. His research expertise centers on computational pharmaceutical sciences , particularly the development of novel methods like GRADE and X-GRADE for analyzing protein-ligand interactions. Simultaneously, he investigates how foodborne xenoestrogens affect breast cancer cell behavior, with implications for understanding metastatic processes. His work integrates computational modeling with experimental toxicology to address critical questions in drug discovery and environmental health. Analysis of Fellinger's publications reveals a dual research trajectory: methodological innovation in computational chemistry and applied research on environmental impacts on cancer biology. This interdisciplinary approach bridges pharmaceutical sciences with molecular oncology, demonstrating how computational tools can address complex biological questions. Recent Activities: Presented 'GRADE-ing Protein-Ligand Interactions' at a scientific conference (June 2025) Delivered talk on 'Binding affinity estimation using GRADE' (March 2025) Co-authored poster on 'Orally derived endocrine active substances impact tight junction protein claudin 4' (April 2025) Fellinger maintains active collaborations with researchers including Thomas Seidel, Benjamin Merget, Klaus-Jürgen Schleifer, Thierry Langer, Giorgia Del Favero, and Doris Marko, reflecting his position within a vibrant interdisciplinary research network at the University of Vienna.

• Breast Cancer Research
• Pharmacology
• Toxicology
• +۴ مورد دیگر

Nora Henriette de Leeuw is a Professor of Computational Chemistry and Executive Dean of the Faculty of Engineering and Physical Sciences at the University of Leeds, UK. Previously, she held roles such as Pro-Vice Chancellor (International & Doctoral Research) at Cardiff University and Professor of Theoretical Geochemistry & Mineralogy at Utrecht University. Her research focuses on computational materials chemistry, including catalyst design for sustainable energy, geochemical processes, and biomaterials. She has pioneered studies on photo-catalytic materials, collagen structure modeling, and the origin of Earth's water. Her honors include membership in Academia Europaea (2017), Fellowship of the Learned Society of Wales (2016), and the Royal Society Industry Fellowship (2012). Key contributions include explaining enhanced photoresponse in FeS₂ films, demonstrating bioinspired CO₂ conversion via iron sulfide catalysts, and modeling collagen fibril structures. Her work integrates computational methods to address challenges in energy sustainability, biomaterials, and Earth science. She has led interdisciplinary teams and contributed to software for solid solution modeling, now widely used in catalysis and mineralogy.

• Computational Materials Chemistry
• Computer-Aided Catalyst Design
• Geochemical Processes
• +۴ مورد دیگر

Manuela Zaccolo is a Professor of Cell Biology at the University of Oxford since 2012 and a Tutorial Fellow in Pre-Clinical Medicine at Balliol College, Oxford, UK. Her research focuses on the spatial and temporal regulation of cyclic nucleotide signaling, particularly in cardiac pathophysiology. Research Interests : Cyclic nucleotide signaling (cAMP/cGMP) Subcellular compartmentalization of signals Role of phosphodiesterases in heart disease AKAP-mediated signal transduction Quantitative optical imaging in living cells Scientific Contributions : She pioneered genetically encoded FRET-based reporters for cyclic AMP, enabling real-time monitoring of signaling in live cells. Her work on compartmentalized signaling in cardiac myocytes has redefined understanding of second messenger systems. Scientific Awards & Honors : Fellow of the Istituto Veneto di Scienze, Lettere ed Arte (2023) Fellow of the Royal Society of Biology (2019) Royal Society Wolfson Merit Award (declined, 2011) Telethon Career Award (2001-2007) Royal Society/Accademia dei Lincei European Science Exchange Fellowship (1996-1997) British Council Grant in Aid (1992)

• Genetically encoded intracellular sensors
• Cardiac adrenergic signalling
• Cyclic nucleotide signalling
• +۲ مورد دیگر

Thomas Seidel is a Professor in the Department of Pharmaceutical Sciences at the Faculty of Life Sciences. His research focuses on computational methods for drug discovery, including pharmacophore modeling, virtual screening, and ligand-receptor interaction analysis. He has contributed to the development of tools like GRADE/X-GRADE, PharmacoMatch, and QPhAR for enhancing the efficiency and accuracy of drug design processes. His work integrates molecular dynamics simulations, machine learning, and structure-based approaches to address challenges in neuropharmacology and medicinal chemistry. Key areas include GABAA receptor modulation, metabolite prediction, and the optimization of lead compounds for drug targets such as the large neutral amino acid transporter 1 (LAT1). Seidel’s collaborative projects span academic and industrial partnerships, with a focus on advancing predictive toxicology through initiatives like the NeuroDeRisk toolbox. His research consistently bridges computational methodologies with experimental validation, emphasizing translational applications in drug development.

• Pharmacophore Modeling
• Computer-Aided Drug Design
• Virtual Screening
• +۳ مورد دیگر