iPRESTO: Automated discovery of biosynthetic sub-clusters linked to specific natural product substructures.

Autor: Joris J R Louwen, Satria A Kautsar, Sven van der Burg, Marnix H Medema, Justin J J van der Hooft

Publikováno v: PLoS Computational Biology, Vol 19, Iss 2, p e1010462 (2023)

Microbial specialised metabolism is full of valuable natural products that are applied clinically, agriculturally, and industrially. The genes that encode their biosynthesis are often physically clustered on the genome in biosynthetic gene clusters (

Externí odkaz: https://doaj.org/article/419ecef4d2274796a4183bc7e93ac229

MS2Query: reliable and scalable MS2 mass spectra-based analogue search

Autor: Niek F. de Jonge, Joris J. R. Louwen, Elena Chekmeneva, Stephane Camuzeaux, Femke J. Vermeir, Robert S. Jansen, Florian Huber, Justin J. J. van der Hooft

Publikováno v: Nature Communications, 14, 1-12
Nature Communications, 14, 1, pp. 1-12
Nature Communications, 14(1)
Nature Communications 14 (2023) 1

Metabolomics-driven discoveries of biological samples remain hampered by the grand challenge of metabolite annotation and identification. Only few metabolites have an annotated spectrum in spectral libraries; hence, searching only for exact library m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ada71380170b4e7b188b9a02a96857b7
https://hdl.handle.net/2066/293190

MIBiG 3.0:: a community-driven effort to annotate experimentally validated biosynthetic gene clusters

Autor: Barbara R Terlouw, Kai Blin, Jorge C Navarro-Muñoz, Nicole E Avalon, Marc G Chevrette, Susan Egbert, Sanghoon Lee, David Meijer, Michael J J Recchia, Zachary L Reitz, Jeffrey A van Santen, Nelly Selem-Mojica, Thomas Tørring, Liana Zaroubi, Mohammad Alanjary, Gajender Aleti, César Aguilar, Suhad A A Al-Salihi, Hannah E Augustijn, J Abraham Avelar-Rivas, Luis A Avitia-Domínguez, Francisco Barona-Gómez, Jordan Bernaldo-Agüero, Vincent A Bielinski, Friederike Biermann, Thomas J Booth, Victor J Carrion Bravo, Raquel Castelo-Branco, Fernanda O Chagas, Pablo Cruz-Morales, Chao Du, Katherine R Duncan, Athina Gavriilidou, Damien Gayrard, Karina Gutiérrez-García, Kristina Haslinger, Eric J N Helfrich, Justin J J van der Hooft, Afif P Jati, Edward Kalkreuter, Nikolaos Kalyvas, Kyo Bin Kang, Satria Kautsar, Wonyong Kim, Aditya M Kunjapur, Yong-Xin Li, Geng-Min Lin, Catarina Loureiro, Joris J R Louwen, Nico L L Louwen, George Lund, Jonathan Parra, Benjamin Philmus, Bita Pourmohsenin, Lotte J U Pronk, Adriana Rego, Devasahayam Arokia Balaya Rex, Serina Robinson, L Rodrigo Rosas-Becerra, Eve T Roxborough, Michelle A Schorn, Darren J Scobie, Kumar Saurabh Singh, Nika Sokolova, Xiaoyu Tang, Daniel Udwary, Aruna Vigneshwari, Kristiina Vind, Sophie P J M Vromans, Valentin Waschulin, Sam E Williams, Jaclyn M Winter, Thomas E Witte, Huali Xie, Dong Yang, Jingwei Yu, Mitja Zdouc, Zheng Zhong, Jérôme Collemare, Roger G Linington, Tilmann Weber, Marnix H Medema

Publikováno v: Nucleic Acids Research, 51(D1), D603-D610. Oxford University Press
Terlouw, B R, Blin, K, Navarro-Muñoz, J C, Avalon, N E, Chevrette, M G, Egbert, S, Lee, S, Meijer, D, Recchia, M J J, Reitz, ZL, van Santen, JA, Selem-Mojica, N, Tørring, T, Zaroubi, L, Alanjary, M, Aleti, G, Aguilar, C, Al-Salihi, S A A, Augustijn, HE, Avelar-Rivas, JA, Avitia-Domínguez, LA, Barona-Gómez, F, Bernaldo-Agüero, J, Bielinski, V A, Biermann, F, Booth, TJ, Carrion Bravo, VJ, Castelo-Branco, R, Chagas, FO, Cruz-Morales, P, Du, C, Duncan, KR, Gavriilidou, A, Gayrard, D, Gutiérrez-García, K, Haslinger, K, Helfrich, E J N, van der Hooft, J J J, Jati, AP, Kalkreuter, E, Kalyvas, N, Kang, KB, Kautsar, S, Kim, W, Kunjapur, AM, Li, Y-X, Lin, G-M, Loureiro, C, Louwen, J J R, Louwen, N L L, Lund, G, Parra, J, Philmus, B, Pourmohsenin, B, Pronk, L J U, Rego, A, Rex, DAB, Robinson, S, Rosas-Becerra, LR, Roxborough, ET, Schorn, MA, Scobie, DJ, Singh, KS, Sokolova, N, Tang, X, Udwary, D, Vigneshwari, A, Vind, K, Vromans, S P J M, Waschulin, V, Williams, SE, Winter, JM, Witte, TE, Xie, H, Yang, D, Yu, J, Zdouc, M, Zhong, Z, Collemare, J, Linington, RG, Weber, T & Medema, MH 2023, ' MIBiG 3.0: a community-driven effort to annotate experimentally validated biosynthetic gene clusters ', Nucleic Acids Research, vol. 51, no. D1, gkac1049, pp. D603-D610 . https://doi.org/10.1093/nar/gkac1049
Terlouw, B R, Blin, K, Navarro-Muñoz, J C, Avalon, N E, Chevrette, M G, Egbert, S, Lee, S, Meijer, D, Recchia, M J J, Reitz, Z L, van Santen, J A, Selem-Mojica, N, Tørring, T, Zaroubi, L, Alanjary, M, Aleti, G, Aguilar, C, Al-Salihi, S A A, Augustijn, H E, Avelar-Rivas, J A, Avitia-Domínguez, L A, Barona-Gómez, F, Bernaldo-Agüero, J, Bielinski, V A, Biermann, F, Booth, T J, Carrion Bravo, V J, Castelo-Branco, R, Chagas, F O, Cruz-Morales, P, Du, C, Duncan, K R, Gavriilidou, A, Gayrard, D, Gutiérrez-García, K, Haslinger, K, Helfrich, E J N, van der Hooft, J J J, Jati, A P, Kalkreuter, E, Kalyvas, N, Kang, K B, Kautsar, S, Kim, W, Kunjapur, A M, Li, Y-X, Lin, G-M, Loureiro, C, Louwen, J J R, Louwen, N L L, Lund, G, Parra, J, Philmus, B, Pourmohsenin, B, Pronk, L J U, Rego, A, Rex, D A B, Robinson, S, Rosas-Becerra, L R, Roxborough, E T, Schorn, M A, Scobie, D J, Singh, K S, Sokolova, N, Tang, X, Udwary, D, Vigneshwari, A, Vind, K, Vromans, S P J M, Waschulin, V, Williams, S E, Winter, J M, Witte, T E, Xie, H, Yang, D, Yu, J, Zdouc, M, Zhong, Z, Collemare, J, Linington, R G, Weber, T & Medema, M H 2023, ' MIBiG 3.0: a community-driven effort to annotate experimentally validated biosynthetic gene clusters ', Nucleic Acids Research, vol. 51, no. D1, pp. D603–D610 . https://doi.org/10.1093/nar/gkac1049
Terlouw, B R, Blin, K, Navarro-Muñoz, J C, Avalon, N E, Chevrette, M G, Egbert, S, Lee, S, Meijer, D, Recchia, M J J, Reitz, Z L, van Santen, J A, Selem-Mojica, N, Tørring, T, Zaroubi, L, Alanjary, M, Aleti, G, Aguilar, C, Al-Salihi, S A A, Augustijn, H E, Avelar-Rivas, J A, Avitia-Domínguez, L A, Barona-Gómez, F, Bernaldo-Agüero, J, Bielinski, V A, Biermann, F, Booth, T J, Carrion Bravo, V J, Castelo-Branco, R, Chagas, F O, Cruz-Morales, P, Du, C, Duncan, K R, Gavriilidou, A, Gayrard, D, Gutiérrez-García, K, Haslinger, K, Helfrich, E J N, van der Hooft, J J J, Jati, A P, Kalkreuter, E, Kalyvas, N, Kang, K B, Kautsar, S, Kim, W, Kunjapur, A M, Li, Y-X, Lin, G-M, Loureiro, C, Louwen, J J R, Louwen, N L L, Lund, G, Parra, J, Philmus, B, Pourmohsenin, B, Pronk, L J U, Rego, A, Rex, D A B, Robinson, S, Rosas-Becerra, L R, Roxborough, E T, Schorn, M A, Scobie, D J, Singh, K S, Sokolova, N, Tang, X, Udwary, D, Vigneshwari, A, Vind, K, Vromans, S P J M, Waschulin, V, Williams, S E, Winter, J M, Witte, T E, Xie, H, Yang, D, Yu, J, Zdouc, M, Zhong, Z, Collemare, J, Linington, R G, Weber, T & Medema, M H 2023, ' MIBiG 3.0 : a community-driven effort to annotate experimentally validated biosynthetic gene clusters ', Nucleic Acids Research, vol. 51, no. D1, pp. D603–D610 . https://doi.org/10.1093/nar/gkac1049
Nucleic acids research, 51(D1), D603-D610
Nucleic acids research 51 (2023) D1

With an ever-increasing amount of (meta)genomic data being deposited in sequence databases, (meta)genome mining for natural product biosynthetic pathways occupies a critical role in the discovery of novel pharmaceutical drugs, crop protection agents

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e557bd5c3d2ddd7d6574fc9d08027c2
https://pure.knaw.nl/portal/en/publications/4e99309a-6840-4150-801f-070cfa20d40c

NPOmix: A machine learning classifier to connect mass spectrometry fragmentation data to biosynthetic gene clusters

Autor: Tiago F Leão, Mingxun Wang, Ricardo da Silva, Alexey Gurevich, Anelize Bauermeister, Paulo Wender P Gomes, Asker Brejnrod, Evgenia Glukhov, Allegra T Aron, Joris J R Louwen, Hyun Woo Kim, Raphael Reher, Marli F Fiore, Justin J J van der Hooft, Lena Gerwick, William H Gerwick, Nuno Bandeira, Pieter C Dorrestein

Publikováno v: PNAS Nexus 1 (2022) 5
PNAS nexus, vol 1, iss 5
PNAS Nexus, 1(5)

Microbial specialized metabolites are an important source of and inspiration for many pharmaceutical, biotechnological products and play key roles in ecological processes. However, most bioactivity-guided isolation and identification methods widely e

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61845ae73ee905ab31d4af2ebe6e0c87
https://doi.org/10.1093/pnasnexus/pgac257