MIBiG 3.0: a community-driven effort to annotate experimentally validated biosynthetic gene clusters BR Terlouw, K Blin, JC Navarro-Munoz, NE Avalon, MG Chevrette, ... Nucleic acids research 51 (D1), D603-D610, 2023 | 257 | 2023 |
Artificial intelligence for natural product drug discovery MW Mullowney, KR Duncan, SS Elsayed, N Garg, JJJ van der Hooft, ... Nature Reviews Drug Discovery 22 (11), 895-916, 2023 | 128 | 2023 |
Good practices and recommendations for using and benchmarking computational metabolomics metabolite annotation tools NF de Jonge, K Mildau, D Meijer, JJR Louwen, C Bueschl, F Huber, ... Metabolomics 18 (12), 103, 2022 | 57 | 2022 |
The Minimum Information about a Tailoring Enzyme/Maturase data standard for capturing natural product biosynthesis MM Zdouc, D Meijer, F Biermann, J Holme, A Korenskaia, A Lien, ... | 3 | 2024 |
Empowering natural product science with AI: leveraging multimodal data and knowledge graphs D Meijer, MA Beniddir, CW Coley, YM Mejri, M Öztürk, JJJ van der Hooft, ... Natural Product Reports, 2025 | 2 | 2025 |
Unleashing the potential of cell painting assays for compound activities and hazards prediction F Odje, D Meijer, E Von Coburg, JJJ van der Hooft, S Dunst, MH Medema, ... Frontiers in Toxicology 6, 1401036, 2024 | 1 | 2024 |
CineMol: a direct-to-SVG small molecule drawer D Meijer, M Medema, J van der Hooft | | 2024 |
Versalign: multiple sequence aligner for arbitrary objects. D Meijer | | 2024 |
NPClassifier predictions of COCONUT compounds LM Nollen, D Meijer, M Sorokina, JJJ Van Der Hooft Wageningen University & Research, 0 | | |
Methylation regioselectivity prediction through machine learning E Reij, AJ van Dijk, M Medema, D Meijer | | |
BIOSYNFONI J VAN DER HOOFT, D MEIJER, M SOROKINA | | |
A SOFTWARE TOOL PERFORMING GRAPH MINING AND ENRICHMENT ANALYSIS ON GROUPS OF MOLECULES G Duivenvoorden, D Meijer, JJJ van der Hooft, MH Medema | | |