جست‌وجوی استاد و پژوهشگر

Marc Chevretteمشاهده پروفایل

استادیار

• Natural Product Discovery
• Genome Mining
• Microbial Interactions
• +۴ مورد دیگر

Marc Chevrette serves as an Assistant Professor and Discovery Fellow in the Department of Plant Pathology at the University of Wisconsin–Madison's College of Agricultural and Life Sciences, with laboratory operations based in the Discovery Building. His interdisciplinary research bridges genomics, bioinformatics, and microbiology to investigate microbial secondary metabolism and interspecies interactions within complex communities. Education: PhD in Genetics, University of Wisconsin–Madison Dr. Chevrette's research program centers on evolutionary-guided natural product discovery, specializing in genome mining for novel antibiotics and biosynthetic pathway characterization. His lab develops computational tools like GATOR-GC to map biosynthetic diversity across bacterial lineages, with particular emphasis on lasso peptides, nonribosomal synthetases, and microbial community dynamics. This work integrates phylogenetics with experimental validation to uncover chemical ecology principles driving secondary metabolism. Analysis of his 2023-2025 publications reveals consistent innovation in bioinformatics infrastructure (antiSMASH, MIBiG) and machine learning applications for substrate specificity prediction. His research demonstrates strong translational potential for antimicrobial discovery, with recurring themes of evolutionary adaptation in biosynthetic gene clusters and community-mediated metabolite regulation. Scientific Awards: Discovery Fellow (Wisconsin Institute for Discovery) Dr. Chevrette directs an active research group supported by federal grants focused on antibiotic discovery and microbial ecology. His mentorship includes training graduate students in interdisciplinary methodologies spanning computational biology, microbial genetics, and natural product chemistry, with emphasis on translating genomic insights into experimental validation. The Chevrette Lab operates within the Wisconsin Institute for Discovery, leveraging its collaborative environment to integrate genomic data with ecological modeling. Current projects investigate how nutrient availability and interspecies competition shape biosynthetic potential in soil and marine microbial communities, with implications for drug discovery pipelines.

• Bioinformatics
• Genomics
• Metabolomics
• +۷ مورد دیگر

Marnix Medema is a Personal Professor in Bioinformatics at Wageningen University & Research. His research focuses on computational approaches to understand microbial natural product biosynthesis, microbiome dynamics, and plant-microbe interactions. He leads projects on gene cluster discovery, AI-driven natural product science, and microbial synthetic communities. His work bridges bioinformatics, genomics, and metabolomics. Key contributions include the antiSMASH tool for gene cluster analysis and the BGC Atlas web resource. He collaborates globally on topics like lichen biochemistry and crop microbiome resilience. He supervises multiple PhD candidates exploring topics such as bacteriophage diversity modeling and natural product discovery via AI. His research has been featured in Cell, Nucleic Acids Research, and Nature Product Reports.

Simon Shawمشاهده پروفایل

پژوهشگر

• Bioinformatics
• Genome Mining
• Microbial Genetics
• +۵ مورد دیگر

Simon Shaw is a Researcher at the Novo Nordisk Foundation Center for Biosustainability , Technical University of Denmark. His work focuses on genome mining and bioinformatics tool development for microbial genetics. Research Interests : Computational analysis of gene clusters , antiSMASH database expansion, phylogenetic tree generation , and robotic automation in Streptomyces conjugation. Key Contributions : Co-author on 11 peer-reviewed publications including major updates to the antiSMASH database (versions 6.0–7.0), ActinoMation automation framework, and getphylo phylogenetic tool. Collaborative Activities : Organized the 2018 antiSMASH Hackathon and participated in the 4th antiSMASH Hackathon (2017) .

Kai Blinمشاهده پروفایل

پژوهشگر

• Genome Mining
• Natural Products
• Biosynthetic Gene Clusters
• +۵ مورد دیگر

Kai Blin is a Senior Researcher at the Novo Nordisk Foundation Center for Biosustainability at the Technical University of Denmark (DTU), specializing in Natural Products Genome Mining as part of the DTU Microbes Initiative. His work focuses on computational approaches to discover and analyze biosynthetic gene clusters in microbial genomes. Dr. Blin's research interests center around genome mining for natural products, particularly through the development and application of bioinformatics tools like antiSMASH. His expertise spans biosynthetic gene cluster analysis, secondary metabolite discovery, microbial genomics, and computational methods for natural product research. His work significantly contributes to the UN Sustainable Development Goals related to health, sustainability, and responsible consumption. His recent publication record demonstrates strong activity in developing resources for natural product discovery, including the BGC Atlas web resource, MIBiG 4.0 database, and antiSMASH database version 4. These tools facilitate the exploration of chemical diversity encoded in bacterial genomes and advance biosynthetic gene cluster curation through global collaboration. Kai Blin actively supervises multiple PhD students on projects related to natural product discovery, computational genomics, and AI/ML applications in the field. His current projects include methods for structural variant calling, sustainable food production techniques, and natural products structure prediction based on genomic data. As an active member of the scientific community, Dr. Blin organizes and participates in conferences and workshops focused on genome mining, including the Natural Products (Meta) Genome Mining conference and Genome Mining for Natural Products workshop. His work on resistance genes has received significant media attention, including coverage in multiple news outlets and academic platforms.

Tilmann Weberمشاهده پروفایل

استاد

• Genome Mining
• Secondary Metabolites
• Streptomyces
• +۶ مورد دیگر

Tilmann Weber is a Professor for Natural Products Genome Mining and Associate Scientific Director at the Novo Nordisk Foundation Center for Biosustainability (Technical University of Denmark). His research bridges genetics, biochemistry, and bioinformatics to decode biosynthetic pathways and engineer microbes for novel natural product discovery. Key Contributions : Development of antiSMASH , BGC Atlas , and CRISPR-based tools for Actinomycetes . SDG Impact : His work aligns with UN Sustainable Development Goals for health, life sciences , and environmental sustainability . Research Themes : Focuses on genomic analysis of biosynthetic gene clusters , CRISPR-mediated metabolic engineering , and automated bioinformatics workflows for drug discovery. His group pioneered the elfamycin pathway elucidation and antiSMASH software suite . Recent Publications span Streptomyces systems biology , mass spectrometry languages , and pan-genomic approaches to redefine microbial chemical diversity. Scientific Recognition Clarivate Highly Cited Researcher (2020–2024) Recipient of Clarivate Analytics awards for top-cited work in antibiotic resistance and bioinformatics Advising & Grants : Supervises PhD students in omics-driven antifungal discovery , metagenomic approaches , and synthetic biology tools . Leads projects funded by Novo Nordisk Foundation and EU consortia.

Marc Chevretteمشاهده پروفایل

استادیار

• Secondary Metabolism
• Microbial Genomics
• Evolutionary Biology
• +۴ مورد دیگر

Marc Chevrette is an Assistant Professor at the University of Wisconsin-Madison conducting interdisciplinary research at the nexus of microbial genomics, evolutionary biology, and natural product discovery. His work integrates computational and experimental approaches to decipher secondary metabolism in microbial communities with applications in antibiotic development and microbiome engineering. Dr. Chevrette's educational background includes: PhD in Genetics from the University of Wisconsin-Madison MSc in Genetics from the University of Wisconsin-Madison MSc in Biotechnology (Bioengineering) from Harvard University Extension BSc in Molecular Biology & Bioinformatics from Rensselaer Polytechnic Institute The Chevrette Lab investigates secondary metabolism across evolutionary, ecological, and synthetic systems. Core research areas encompass genome mining of biosynthetic gene clusters (BGCs), evolutionary dynamics of biosynthetic enzymes, microbiome-derived natural products from host-associated systems (amphibian skin, insect exoskeleton, rhizosphere) and soil bacteria, and genetic regulation of metabolite production in synthetic communities using metatranscriptomics and metametabolomics. The lab develops computational tools for BGC prediction and characterization while exploring enzyme specificity and promiscuity. Recent publications (2023-2025) reveal dominant themes in methodological innovation for genome mining (antiSMASH 8.0, GATOR-GC), biosynthetic gene cluster curation (MIBiG 4.0), and machine learning applications for enzyme specificity prediction. Research spans natural product discovery from Actinobacteria and host-associated microbiomes, evolutionary analysis of biosynthetic pathways, and experimental validation of microbial community interactions. Key interdisciplinary connections include computational biology, microbial ecology, and drug discovery. The Chevrette Lab maintains active collaborations with the Tiny Earth initiative for soil bacteria research and participates in interdisciplinary networks focused on natural product discovery. The lab's integrative approach combines computational genomics, evolutionary analysis, and experimental microbiology to explore the ecological and biomedical significance of microbial secondary metabolism.